Research Paper On Heidi Roizen

Research Paper On Heidi Roizen
With background research done on Heidi Roizen, it can be seen that she lived an interesting professional life. She maintained many high–level positions
and sought out how to make each one of them a new interesting chapter in her life. As a professor at the prestigious school of Stanford University, we
can she that now Roizen has become interested in expanding the minds of students and the young professionals in order to hopefully allow them to
expand their horizons and make something more of themselves. From time to time we notice that even the best–laid plans can crumble from even the
slightest shift in time or with the acquisition of new information. It can be seen that Roizen maintains a high level of curiosity. This feeling has... Show
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At the beginning of her career as CEO of T/Maker, we see that she was not the one that created the company or the first spreadsheet programs
designed for the personal computer user and released by her brother Peter Roizen. However the case, she still shows that she is willing to learn and
shows how much she cares by buying out her brother and getting her hands in the business that she will eventually adapt and make her own. Heidi has
shown that when she makes a commitment, she follows through and makes it happen. However, she states that you have to be realistic and not try to
control things that are out of yours hands. Finding a way to meet and build relationships with the people that control the networks has been and will be
the best way to successfully do your job. Understanding that although you may have created this, one must know that they are not always the highest
assets. The introduction of her Apple career showed her how to test this network. Being the Vice President of Worldwide Developer Relations,
Roizen was allotted the backbone in order to ship her network off to be tested by many new eyes. Once her network soared, Roizen acquired the
capital in order to become a Venture Capitalist, which allowed her to invest and search for startups. This gave her the opportunity to potentially expand
her networks or to even just
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The Actor-Network Theory In The Film A Crude Awakening
The Actor–Network Theory, also known as ANT, explores the way sociotechnological elements are assembled as well as how large–scale social
structures work through various networks of stabilized materials. It considers both human and non–human actors, networks, and actor–networks. An
actor is considered anything with the ability to act. This includes human and non–human entities. The network is what ties together people and objects,
making the groups interconnected. The Actor–Network Theory looks at how the actors are connected, the links that connect them. It looks are ways in
which various technologies and artifacts help to shape the patterns of society (Larose, 2017).
To analyze the documentary A Crude Awakening we must first identify the actors participating in the network. The documentary talks about society's
dependence on oil and how essential it is to the world today. The people seem to understand that there are flaws in the use of oil and that it harms the
environment however that doesn't stop people from using it. The documentary talks about oil being "God," an essential item to keep society running.
People forget that oil will run out, they forget that there isn't an unlimited supply. It's a precious resource that will run out sooner than people expect.
Peak oil ... Show more content on Helpwriting.net ...
The documentary aimed to show people just how limited the supply of oil is and how the network could eventually totally collapse when we run
out. Crude oil is a cheap yet scarce resource that society relies heavily on. The world has consumed well over half of the conventional oil resources,
and from now on more and more energy is required to extract a declining supply of a lower quality oil. The public as well as mainstream media
completely misunderstand the concept of peak oil. Most people don't understand that running out of oil means a change to everybody's life. There
would be changes to the way we produce food, the way we

Using Connections Between People, Places, And Network
"Statistics is a way to see how a group of individuals can be grouped together using connections"
SNA is the mapping and depiction of relationships and connections between people, places, groups, computers, and lots of other things. The different
nodes in the network represent the different people and groups while the links represents the relationships between the nodes.
When you relate your life to world networks and connections; you think about friendships that are established via internet, acquaintances, job
interviews and money. Once social network is analyzed from a certain perspective you visualize how some of your relationships were created and how it
was formed. Which stimulates from new cultures, politics, background information ... Show more content on Helpwriting.net ...
For instance, there is a trending topic in the media. Twitter is known for mentions to be a popular thing. Everyone would push towards the social
media to view several conversations with respect of a mention. McTemore 's metaphor of a living web is an accurate description of the current
social network, which dramatically expands our ability to connect with one another. For example, some 6,000 'Ш› tweets are tweeted on Twitter
every second, which corresponds to 500 million tweets per day. This number increased from 5,000 tweets per day in 2007, to 2.5 million in 2009, and
340 million in 2012. Online technology has opened a new world of revolutionized connectivity. (Lee, l. (2015).
Graph Theory
In Mathematically terms, while using a graph theory it is represented as a network. A graph consists of two sets the nodes and the links which could
be described as (edges, sets). It's held as a maximum N (N –1)/2 and will eventually be connected based on the pair of elements. To show a valid
connection with a graph using nodes and links, the person will connect draw a dot that represent the nodes and connect it with a link (known as the
edge) to be created. The higher the value the stronger the connection will be in the graph.
G= (N, L) where N= {n1, n2 ,....,nN } represent the nodes
L = {l1, l2, ...., lK} represent links
N = nodes of networks
K = total number of links
Mathematically, we can represent a network using graph theory. A

The Facebook Controversy
Facebook is involved in a serious controversy in the United States. And last but not least they are being accused of nothing less than ideologically
manipulate the news that serves its users , all this is happening on the campaign trail, so the whole thing takes on an even greater dimension that
already itself has. The theme comes long, because within Facebook are already wondering for some time whether they should influence the vote of the
people to try to stop certain politicians. That does not mean that they have, and the social network and has denied flatly, although it has failed to stop
the media and political storm . What exactly is happening? These anonymous ex–employees 1366 2000 As you recall, this whole storm began on
Monday with some information published by Gizmodo. This means having a source said a group of former employees of Facebook, which ensured
the social network had been hiding or minus impact systematically to those items that towered more conservative policies. Come on , Zuckerberg had
been ideologically manipulating its system of Trending Topics , and thus its social network, so that no apareciesen certain type of news. This,
according to anonymous former employees, prevented the success stories related to CPAC (Conservative Political Action Conference) or Republican
candidate Mit Romney 2012. From Facebook, how could it be otherwise, they have denied such allegations. He did a few hours Tom Stocky,
responsible Trending Topic section, ensuring

WhatвЂ™s Wrong with Social Networking by Juno Parrenos
Social Network Sites Many people have different opinions about social network sites. Some think that social networking is fun and a great way
socialize, however, no one really take the time to realize how bad it could be and/or get. Social network sites can negatively impact lives because it
can be the cause of missing important life moments, the reason of students getting bad grades, and be very extremely dangerous for anyone. Sites on
the Web can be Distracting Although sites are interesting, they can keep you away from being social. In the article, "What's Wrong with Social
Networking", the author, Juno Parrenas, claims, "In the age of smart phone, we all find ourselves at the dinner tables with at least on anti–social person
peering at their phone mid–conversation or grabbing their phones to take Instagram snapshots of every course of the meal"(1). It is very disturbing to
know that some human beings do not take the time the time to sit and instead, get on their phone. Plenty of people miss valuable time that actually
matters because of the distracting, network sites. Maureen Henderson, the author of the article "3 Reasons You Should Quit Social Media", says,
"189 million of Facebook users are 'mobile only', which means that people are constantly on their phone"(1). So not only does people waist valuable
moments on the web, people can be messing up their lives by focusing on their phones, which they do bring everywhere. Henderson also states,
"Almost a quarter

Brand Loyalty Case Study
4. Brand Loyalty: Aaker (1996) defined brand loyalty as the attachment of a customer to a brand. According to the attitudinal perspective, brand loyalty
is defined as a deeply held commitment to re–buy a preferred product or service consistently in the future despite situational influences and marketing
efforts having potential to cause switching behavior (Oliver, 1997).From the behavioral perspective Odin, Odin and Valette
–Florence (2001) suggested
that the customer who buys the brand systematically is considered loyal to this brand. Authors may differ in defining the brand loyalty but they all
agree on the importance of focusing on loyal customers and trying to increase their number and their loyalty. Managers know that loyal customers do
buy more with willingness to spend more, are easier to reach and act as an advocate for the brands' firms (Chaudhuri and Holbrook, 2001; Odin, et al.,
2001; Oliver, 1997).
Brand Equity and the Signaling Theory
Erdem and Swait (1998) criticized the work of Aaker (1991) and Keller (1993) as they neglected the ... Show more content on Helpwriting.net ...
Years ago firms used to depend upon popular bloggers and celebrities to create much notice for their brands but nowadays the effect of "everyday"
consumers could have even larger impact on the equity of their brands (Wong, 2014).
WOM is defined as the "informal communication behavior about the experiences with speciп¬Ѓc services, products or the characteristics of the
providers that the consumers exchange among each other" (Kiss and Bichler, 2008, p.2). The power of WOM could be positive or negative according
to the degree of satisfaction or dissatisfaction of the consumer with the product/brand, and this positive power could have a positive impact on sales
and market share (Kiss and Bichler,

The Role Of Competition Law And Its Effects On The Local...
My interest in this paper is to consider a complex network prospective; the application of Competition Law, and more specifically related to its effects
on monopolistic competition, and its effects on the local market and South African economy as a whole.
South Africa (SA) was distant from many other major markets and production centers. This made it complex for international trade to compensate for
these conditions, even though trade has expanded since 1994, mainly with the European (EU) and the United States (US). Tariff levels have declined
on average, but anti–dumping duties protect key industries such as steel, where the state has long had an interest and an exclusive export agent can
prevent arbitrage between export and local markets. SA's history of import substitution and the attendant habits of business practice and government
policy favored local insiders thus challenging other market entrants. This encouraged the new SA government to review the SAcompetition law regime
in the White Paper on Reconstruction and Development in 1994. The need for a new competition policy in SA was because of excessive economic
concentration and ownership, collusive practices by enterprises and the abuse of economic power by firms in dominant positions. A need for further
transition emanated from the effects of globalization and trade liberalization and the need to redress past inequality and non–participation in the national
economy. Thus fundamental principle of competition policy

Observational Study On Algorithms On The Social Networks
OBSERVATIONAL STUDY ON ALGORITHMS
On exploring Link prediction on the social networks, it lead to various studies in terms of its nature and its peculiarities. As we all know that Social
Network is dynamic in nature. New links comes into picture and new relations are formed in later times. Based on the approach we assign the weight
to each link from the starting node and ending node. Score (A, B) between the node A and B. The ranks between the pairs (A, B) and (X, Y) is the
shortest path in G. One most used measure is the common neighbors. The more and more number of surrounding neighbors similar between A and B
would determine that would be possible of forming link in future.
Fuzzy k closest friend with a number depth. Here for ... Show more content on Helpwriting.net ...
We can find out the vector for each friends, friend.
Sample vector from the above calculation would lead to:
For X5: Cricket 0.3, Golf 0.2, and Football 0.5
For X4: golf 0.2, football: 0.4, ping pong 0.1
For X3: Ping–Pong 0.3, basketball 0.2, football 0.3, Chess 0.2
Similarly do it for all the friends and get the aggregated results: we get the final vector as
Football 0.145, cricket 0.075, Chess 0.023, Ping–Pong 0.059, Golf 0.083, Basketball 0.024
Applying the agglomerative clustering algorithm in this results set would yield the result as "Football".
This proves that the work of the data mining proved effective in determining the link and relations amongst the network.
LIMITATION & CHALLENGES & APPLICATIONS IN DATA MINING OF SOCIAL NETWORKS
A.Problems
Most common problems are:
1)What if the Data is inconsistent? We might have several contradictions in our data

2)What if the Data is incorrect? We know the information is wrong for a particular case
3)Data can also be incomplete. Several parts of information might be missing.
4)Security Issues like personal and financial details are part of the data.
5)Privacy issue which can lead to purchase of item exposes the card details, if it gets hacked.
6)Misuse of information, if it gets into hand of unethical people, making it vulnerable.
B.Limitations
Here are few limitation that stand as a hurdle in reaching apex of the Data

Social Medias : A New Capital Way Of Communication
Nowadays, social medias on Internet seem to be a new capital way of communication. First of all, a social network is a user 's association on Internet,
who exchanges information. Each member shares information with "friends", who themselves have their own "friends". all the members of the social
network are indirectly connected. There exists any kind of social networks and they all have different goals. Indeed, some give the opportunity of
communicating with friends, colleagues or family, by sharing photographs or videos. Others, have as a function to establish a safe online business,
meetings single people, or, playing video games and talking with other players. Thus, these networks make great universal strides and are massively
attended... Show more content on Helpwriting.net ...
Indeed, the impact can be such cyber harassing, usurpation of identity, or cyber flashing. Nowadays these kinds of fact unfortunately became usual.
The teenager is often delivered to itself on social medias. And he often does not understand the impact of the digital. Indeed, the young user is in an
intimate environment; he uses this networks in his residence or in transport. He feels comfortable and it is this precisely supposed confidence which
involves the phenomenon of young people exposing their intimacy. Because when he uses the social network, the teenager opens a window on the
external world. In fact, according to Puresight, a website created to protect the youngest internet users, "33% of teens are Facebook friends with
other people they have not met in person." (Puresight). The teenager behaves as it would do with his family or its close friends, while being exposed
to the net surfers. The traditionally shyness which happens while being in public disappears when the teenager is in front of the screen. It is this logic,
which generates various practices at the risks, like the publication of personal photographs or the cyber harassing: the young user feels in a shelter
behind his screen and exceeds the limits which it would have set in public. Regulation consists in first rendering comprehensible that the social
networks, and more largely Internet, are a "public

How Forests Think : Towards An Anthropology Beyond The...
How Forests Think: Towards An Anthropology Beyond the Human by Eduardo Kohn and Pandora's Hope: Essays on the Reality of Science Studies
by Bruno Latour have an interesting dichotomy between what is considered alive (referred to by Kohn as a "self" and an "actant" for Latour), and
what is not. It is important to note that Latour did not specifically refer to actants as being alive but they have agency, and this term is used in a
similar manner to Kohn's concept of selves. Through this essay, I will review both books and each author's understanding of the concept of life. For
Kohn, the boundaries of what is considered alive are limited to humans, animals, and organic matter. However, for Latour, we see a different, more
developed understanding of the concept of life that incorporates essentially everything.
By way of overview, Kohn's How Forests Think: Towards An Anthropology Beyond theHuman is an attempt to move beyond the limited cultural lens
of the ethnographer (the outsider), in which one could only describe the Runa's understanding from afar while struggling to be among the Runa people.
This piece is not just an ethnographic description of the Runa, which can oftentimes be ingenuous in nature, but an approach that allows the reader to
see this group of people as Kohn has come to see them. However, throughout the book Kohn tends to fluctuate in his tone between acting as being an
insider and describing this group as an ethnographer. Most importantly, from this

Value Chain Approach And Actor Network Theory
Why use the Value Chain Approach and Actor Network Theory (ANT)
Value chains traditionally are those farmers can easily access. To comprehend complexities involved in value chain a qualitative approach termed
value chain analysis approach was used. The approach is descriptive and allows linkage analysis of the farmer with different actors that are part of the
Ziziphus mauritiana chain. Inter–mediators or the middlemen buy Ziziphus mauritiana from rural peasants in Muzarabani. The middlemen also sale
Ziziphus mauritiana to each other. However, most of the Ziziphus mauritiana end up in the hands of bigger traders from markets like Mbare Musika of
Harare in Zimbabwe. The value chain analysis approach used has an array of advantages. Different ... Show more content on Helpwriting.net ...
The socio–technical world is well explained (Langanki 2014). Especially, when local production of spirits from Ziziphus mauritiana (kachasu) is
explained. Actor Network Theory acts as an eye opener. It gives a conceptual framework to the understanding of Ziziphus mauritiana value chain.
What about Power relation relations issue in Actor Network Theory?
Power relation are criticised to ANT approach. However in contrast ANT observed power being in action. The linkages and Network power are
recognised through ideas for undertaking perceptions actions and opinions. Actors have voices and act as agencies. ANT emphasises use on
interactive power than the physical power. The concept of ANT is aligned to each network and provided a radical approach to the discourse and other
non–human actors are treated as actors.
Actor Network Theory is used as a methodology for the study of the of the Ziziphus mauritiana value chain. The value chain is viewed as an
assemblage of networks. Being a theory and a methodological approach ANT endeavours to develop analysis tools on focal actor, thats try to control
other actors. ANT can be used to shape the theoretical framework, hence enhancing the flexibility of the developed

Linguistic Change, Social Network And Speaker Innovation
James and Lesley Milroy's 'Linguistic Change, Social Network and Speaker Innovation' was published by Journal of Linguistics in 1985. The
article is one of several publications by the Milroys which draw upon Lesley Milroy's fieldwork in Belfast during the 1970s (see, for instance, Milroy
& Milroy 1978, 1992, 1993; L. Milroy, 1987; J. Milroy 1992). I will first present a summary of the Milroys' methodology and key findings. Secondly,
I will examine the strengths of the paper, focusing on their appropriation of Granovetter's weak–tie theory and the correlation between network strength
and two different kinds of language change. Finally, I will evaluate the weaknesses of the paper, with a specific focus on the lack of empirical evidence,
... Show more content on Helpwriting.net ...
The Milroys then analysed phonological variables (in this case /a/ and /Й›/) in relation to the network structures and the individual speaker's degree of
integration into a network.
Firstly, they found that in Ballymacarrett, the innovative backing of /a/ is associated with men and the Belfast vernacular, while the traditional front /a
/ functions as a network marker for women. In contrast, the innovative raised variants of /Й›/ are associated with women and more prestigious
outer–city speech, while the traditional low /Й›/ functions as a network marker for men. Furthermore, although the /a/ backing innovation is generally
led by East Belfast males, the backing of /a/ among the young Clonard women is unusually high. The Milroys concluded that while working in a city
centre shop, the Clonard women have weak–tie encounters with customers who use the back /a/ innovation, and they then subsequently adopt this
innovation in their own speech. For the Milroys, this supports the idea that linguistic innovations are diffused via weak–tie connections, where the true
innovators are connected to the early adopters via weak–tie connections.
Secondly, the Milroys observe that Icelandic has changed relatively over the centuries in comparison with English. Using evidence from the Icelandic
sagas, they argue that the strong importance attached to kin and friendship in Iceland, as well as the relative stability of the

Models For Diffusion Of Innovations Among Potential Adopters
Models for diffusion of innovations among potential adopters have been recently used to study the life cycle of new products and to forecast
first–purchase sales. Those models are useful for managers as decision aids to create and perform strategies to maintain the profitability of new
products across their life cycle. Bass (1969) pioneered this area of research with a model for diffusions of new products under peer pressure via
word–of–mouth. This model distinguished two parameters: innovation and imitation. Later, Chatterjee and Eliashberg (1990) provided a
microeconomic version of Bass's model that included interactions among potential adopters and the formation of beliefs.
In Chatterjee and Eliashberg's model, potential adopters were risk averse and used the price and their perceptions about the innovation's performance as
inputs for utility functions. Thus, with Bayesian methods, potential adopters updated parameters with information from past adopters. Our model also
focuses on informational influence on adoption of new products. However, we modified Chatterjee and Eliashberg's model of beliefs formation and
individual choice by taking into account the possibility that influences take place only among consumers who are connected in a social network.
The objective of this article is twofold. First, we seek to determine how global parameters of the social network, such as average path length and
clustering, affect diffusion processes. Second, we attempt to identify early

Case Study Of APL Lanka Private Limited
1.Introduction
1.1Introduction to the case study
APL Lanka Private Limited is a Shipping agency company whose principal is based on Singapore. Company will provide all the shipping agency
services on behalf of its principal to the desired customers. In this report it will discuss about the failure of the container deposit refund system
project which was initiated in year 2010 by the company from an Actor Network Perspective. In order to present the case in an organized and more
understandable manner I have adopt and used the Demise of the Thai Smart ID card case study as a guideline report.
This report will be structured as follows. First it will provide some literature on theoretical background of Actor Network Theory, brief discussion about
the Container deposit refund process of APL Lanka Private limited before theimplementation of the project, discussion about the container deposit
refund system project idea and project objectives and the failure of the project, the method of data collection, analysis of the failure through Actor
Network Perspective and finally the conclusion.
1.2Literature review on Actor Network Theory
What is ANT
ANT fills a big gap ... Show more content on Helpwriting.net ...
Other main actors include the Managing Director, Finance Department, Operations Department, Software programming company, and the customers as
the users of the refund system. These actors had different goals and interests, various kinds of resources and challenges, along with different tasks
which are showing in the below table for the understanding of the case. By this case it could identify the failures which occurred throughout the project
designing and implementation process, as well as the involvement of the various actors to the implementation of the

The Science Of The Signs
The Science of the Signs Western society has many philosophical forms. We have falsificationism, realism, and surrealism. One popular philosophy is
positivism. Positivism is the strict relationship between theories and observation. With the help of Science and technology studies, it helped challenged
the philosophy of positivism for the better. Actor NetworkTheory helps pushed positivism. Actors whom like the strict relation between their theories
and observation. Being able to understand and live with their work. In positivism, observation and case studies are all great tools to show one's
hypothesis. Positivism has greatly been challenged for the better due to science and technology studies.
Science and technology studies is the ... Show more content on Helpwriting.net ...
They believed that scientific theories are manipulated by the data collected and their observations. (pg. 2)
With Science and technology study, positivism was challenged and it has benefited from it. One paradigms, Actor Network Theory, has helped spread
the positivism. Actor Network Theory was developed Michel Callon, Bruno Latour, and John Law. (pg. 81) It was created to understand social aspects
of science and technology. Actor Network Theory deals with human and non–human entities. Both entities form an association, combining with other
actors to form a strong network. These actors form a connection to push their agenda. This could be making a new scientific discovery, or it could be
stopping a company's product production. These actors work together for their cause. It would not be a network if every member entertains their own
plan.
In positivism, there are actors that push for this movement. The actors are the philosophers and scientist. The narrative was to bring together the worlds
findings. Bring everything that was learning to grow more. Working together with the world, rather than separating the different factions. They pushed
to create a popular movement. People like the notion of sharing information amongst all walks of life. Falsification also shared information, but it was
limited. Chemist and biologist would share their information, but would not work with a philosopher. Another group is the

Explaining Why Biological Warfare Cannot be Explained with...
The purpose of this essay is to explain why it will be a problem to explain biological warfare with the SCOT theory, actor–network theory and
technological systems theory.
Social Construction of Technology (SCOT) is a theory that was introduced by Weiber Bijker that explains the link between social and technical
processes of a technology or artifact. Bjiker argued that technology is shaped by human engineers, market forces, consumer's needs and demands. In
SCOT, technology is a social construction. Because technology is socially constructed, it involves flexibility of interpretations, stabilization and closure.
Biological warfare cannot be explained by SCOT theory because stabilization and closure which is the cornerstone of the ... Show more content on
Helpwriting.net ...
Among the components of technological systems are physical artifacts, such as biological weapon agents, aerosols, milling machines, microscopes.
Technological systems also include organizations such as terrorist groups, governments and manufacturing laboratories. Legislative artifacts such as
treaties and protocols can also be part of technological systems. Overtime, technological systems tend to join environmental factors into the system–
eliminating uncertainty ("free market"). They are goal oriented: reordering of the material world to make it more productive. As technological systems
develop after a long period acquire momentum which makes the system have more influence on society– it will begin to shape society.
The reason technological systems concept will be unable to explain biological warfare is because Hughes assumed that the society can resist the
momentum of a technology if they act earlier. In the production and use of biological weapons, the majority of the public are outsiders therefore, even
if the "society" is aware of biological weapon technology in its early stage, their voice would not have any influence on the technology compared to the
insiders (experts like microbiologists and organizations).
Actor–network theory, sometimes abbreviated to ANT, is a sociological theory developed byBruno Latour, Michel Callon and John Law. The primary
tenet of actor–network theory is the concept that

Personal Network Enhancement : Personal And Professional...
Paraj Mathur BOS 315 Prof. A. Merryman Memo #2 Personal Network Enhancement Personal and professional relationships are the catalysts of growth
and success. Thus, it is important to constantly cultivate and develop your network, building new relationships and strengthening old bonds. The first
step towards building an effective network is to assess your existing network for its strengths, weaknesses, and opportunities. I found three major
weaknesses in my network after conducting a thorough network self assessment – a very high percentage of inbred relations, lack of non–work
interactions, and absence of relationships in the startup industry. To address these weaknesses in my current network, I developed and implemented a
two week plan... Show more content on Helpwriting.net ...
4). Thus I had discovered my first problem – a heavily in–bred network. As I further analyzed my network, I realized that while my networks
encompassed relationships with people across a broad range of levels, it was limited by required interactions. In her notes, Ibarra (1996) articulates that
'...managers whose network contacts extend beyond their required work–related interactions and immediate work groups or departments tend to be
more powerful and mobile" (p. 2). Therefore, I was able to diagnose the second major problem with my network – lack of relationships beyond work
interactions. In addition to these two problems another major gap in my network was the absence of a relevant task network. While I had dependable
career related relationships for advice and mentorship, and an extensive social network, I had no relationships in the consulting and entrepreneurship
industries which is my industry of choice for my career. Thus I was severely short handed in my search for jobs and internships opportunities. So I
had to develop a plan to solve the three major issues with my network which would enable me to interact with people with different backgrounds and
views, expand my relationships to those beyond work–related interactions, and help me develop relationships with people in the startup world. I
developed a two

The Importance Of Social Networks
Social networks with complex structure and large scale emerged with the development of social network sites. Various network communities gradually
form complex structural pattern in the production and living of people. The competitive advantages and community distribution in networks can be
obtained through analyzing the structure of community. Therefore the research key point of the current data mining field is how to find out the
potential structure of such large–scale social networks. Currently, most of real networks have overlapping communities. All the users can be allocated to
different communities according to different allocation rules. But the complex structure of network and mass node information are difficulties for
mining ... Show more content on Helpwriting.net ...
local expansion and optimization algorithm, side segmentation algorithm, clique percolation algorithm, fuzzy detection algorithm and agency and
dynamics based algorithm [4]. They made experimental analysis on 14 algorithms. Wang Lidong and Zhang Yun [5] analyzed four overlapping
community mining algorithms which were frequently used in recent years, i.e. SVINET, UEOC, SLPA and TopGC, explored the principles of the
algorithms, summed up their application characteristics and scope, and moreover applied them in multiple large–scale social network. This study
compared iterative mining algorithms for overlapping community in social network, made algorithm design and improvement and found that the
improved algorithm was suitable for mining overlapping community in large–scale social network.
2. Overlapping community mining algorithm
Complex network [6] refers to network with part of or all properties including self–organization, self–similarity, attractor, worldlet and scale free. In
short, it refers to network with high complexity, i.e. structural complexity, network evolution, connection diversity, dynamical complexity, node
diversity and multiple complexities.
Complex network communities are overlapped. Nodes which belong to multiple communities in network are called overlapping nodes [7].
Communities with overlapping nodes are called overlapping communities.
2.1 Multi–label propagation
Label propagation algorithm, the basis of all label based

Research Paper On Social Network Analysis
Abstract– A social network is a set of people (or organizations or other social entities) connected by a set of social relationships such as friendship,
co–working or information exchange. Social networks are connected through various social familiarities ranging from casual acquaintance to close
familiar bonds. Social network analysis provides both a visual and a mathematical analysis of relationships. Social network analysis (SNA) is a
quantitative analysis of relationships between individuals or organizations. By quantifying such social structures it is possible to identify most
important actors, group formations or equivalent roles of actors within a social network. This paper presents various properties or analysis measures
for social ... Show more content on Helpwriting.net ...
Size of the Network[21]
The size of a network can be determined in terms of the number of nodes of the network alternatively, as the number of edges in the network.
2. Density of a Network[21]
The density of a network is the number of ties in the network expressed as a proportion of the number of all possible ties, i.e. the number of actual ties
in the network divided by the number of all the ties that could be present. The density of a network may give insights into phenomena such as the speed
at which information diffuses among the nodes. It is also sometimes used as a measure of connectivity of the network.
3 Path[21]
A path between two nodes is denoted as d (u, v) is a sequence of node pairs that connect these two nodes. A special characteristic of a path is that
all nodes and all connections on a path are distinct. If nodes are not distinct, the sequence is called trail; and if either nodes or connections are
distinct within the sequence, it is called a walk. The length of a path is the number of connections in the sequence. A path is an important property of
a node pair because it defines if two nodes are reachable or not and at what distance. If a path between two nodes exists, than they are reachable and
vice versa. The path property is important for the calculation of various SNA measures including geodesic distance, diameter or centrality

Spectral Properties Of Social Networks
section{Spectral Analysis of Social Networks}
The exttt{spectrum} of a graph is the set of its eigenvalues of the exttt{adjacency matrix}. The eigenvalue spectrum of complex networks provides
information about their structural properties. There has been much research work on spectral properties of uncorrelated random graphs, however,
there is less information on the spectral properties of social networks or sparse complex networks. We, therefore, want to address this research gap by
analyzing the spectral properties of several real–life networks. The singular value distributions of selected social networks are shown in Figure~
ef{singular_values}. The shows that most social networks have an exponential cutoff distribution. The Figure ... Show more content on Helpwriting.net
...
In order to quantify the effect of the random and targeted removal of nodes on these networks, we study, in each of the networks, what fraction of
nodes are remaining after the random or targeted removal of a particular node together with all its out–going links. This process may break an initially
connected core into various disconnected components. Therefore, the simplest quantitative measure of damage on the network is given by the relative
size of the Largest Connected Component (LCC) of the remaining network. Figure~ ef{fig:LCC_attack} shows the topological resilience of Facebook
social network and other complex networks from different network domains. The topological resilience of their corresponding exttt{ER} and
exttt{random power–law} models is also studied for the purpose of comparison. The effect of nodes removal on the diameter of these networks is also
studied. These results are shown in the Figure~ ef{fig:diameter_attack}. %egin{pics}[h]{The effect of Nodes removal on the LCC of 4 Social
networks}{fig:robustness_social}
%addsubpic{Change in the LCC of different networks with nodes removal between 0 and
100%}{width=0.45extwidth}{robust_lcc}label{fig:LCC_attack}
%addsubpic{Change in the Diameter of different networks with nodes removal between 0 and
100%}{width=0.45extwidth}{robust_diam}label{fig:diameter_attack}
%end{pics}
egin{pics}[h]{The effect on the LCC of 4

Disadvantages Of Actor Network Theory
Objective
This assignment focuses on elaborating the failure of "Windows Vista", succeeding operating system to Windows XP launched by Microsoft in 2007 in
the market by identifying the important reasons of failure using stages of translations in the Actor Network Theory. This assignment consists of brief
theoretical background of Actor Network Theory, its elements, Key concepts of Actor network theory, description ofWindows Vista, identification of
actors in this relevant example (Windows Vista) and explaining the same the using the concepts of Actor Network Theory.
Actor Network Theory
Actor network theory is a framework and systematic way to consider the infrastructure surrounding technological achievements. It assigns agency to
both human ... Show more content on Helpwriting.net ...
In our case, Microsoft developed a new operating system "Windows Vista" as the solution for the problems ofWindows XP rather than developing
patches and upgraded versions to provide solution. This has resulted in failure to recognize the actual problem which should occur during the
problematization.
When Windows XP was released in 2001, there were about 600 million computers used worldwide. Approximately 90% of them were running
Windows but it was split between two code bases: Windows 95/98 (65%) and Windows NT/2000 (26%), according to IDC. One of the challenging
task of Windows XP was to unite the Windows 9x and Windows NT code bases, and it eventually accomplished that.
However in 2008, there were over 1.1 billion PCs in use worldwide and of which 70% (800 million PCs approximately) were running Windows XP
which makes it the most widely installed operating system of all time. That's a lot of inertia to overcome, especially for IT departments that have
consolidated their deployments and applications around Windows

The evaluation of links amongst the users of a social...
The evaluation of links amongst the users of a social network is one of the most common and convenient method to detect mechanisms.
textbf{Social–Graph} based techniques majorly make use of these links to detect Sybils in the network. A social–graph like its name suggests is a
graph of all the users and the relationships among themselves in the given social network. The social graph used in Sybil–detection mechanism tries to
analyze the network in a different aspect than the regular graph. The social–graph based techniques consider all the users of the network as the
textbf{nodes} in the graph and the users which can be trusted are called the textbf{honest nodes}. textbf{Sybil nodes} are the nodes that are or can
be a potential threat ... Show more content on Helpwriting.net ...
cite{Gen3}
Social–graph based techniques represent the graph as textbf{G=(V,E)} where G represents the graph, V represents the nodes in the graph and E
represents the edges of the graph.cite{gen5graph} The social– graph based mechanisms first divides the node set V into two disjoint sets– one which
are real users and the second set which consists of likely Sybil users. The Sybil set consists of all the Sybil nodes and the edges between them and the
non–Sybil region consists of the non–Sybil nodes and all the connections between the real nodes. It is assumed that the non–Sybil region of the network
is tightly connected and has dense connections among its nodes as they trust each other. Hence the time taken to form connections between nodes, also
called the mixing time of the region, is very small when compared with time taken to mix with the Sybil region.cite{gen5graph} For example, the
probability that a real user accepts a friend request from another real user in Facebook is much higher than the probability of the request being accepted
from an unknown or fake user. Thus Sybil accounts find it difficult to build connections with the real user. This results in limited number of edges
between the nodes in non–Sybil and the Sybil region. These edges are also called attack edges.
textbf{Different detection mechanisms:}
SybilGuard was one of the first techniques to be developed for

Examples Of Actor Network Theory
The Actor Network Theory (ANT) is a social theory which treats objects as part of the overall social network. This approach places emphasis on the
capacity of nonhuman objects to interact and even participate in various social networks and systems. The following information will explain Actor
Network Theory, provide examples of how it is believed to work, and explore the relationship this theory has in regards to power and politics.
The Actor Network Theory Explained
This theory was developed by scholars Bruno Latour and Michel Callon. Sociologist John Law also contributed to the theory. Humans and nonhumans
are obviously not the same, but they can be studied and observed in similar ways and can both be seen as "actors" influencing their environment.
Anything that makes a difference in the overall scheme of things can be considered an actor, or an actant. Even though it is technically called a theory,
ANT usually doesn't explain how or even why a network emerges into the form that it does. Instead, ANT explores the intricate ties in a network. In
many ways it is more of a method than a theory. It describes how activities and habits can sustain themselves while interacting with one another and
working toward a common goal. Although ANT is usually associated with science and technology, it has expanded into the field ofsociology as ... Show
more content on Helpwriting.net ...
When it comes to politics and the power associated with it, the first thing that must be noted is that much more is involved than the people, or in this
case, the politicians. Ideas and concepts play a crucial role in the political process. Therefore, just like the previous example of the hospital, there are
lots of moving parts, hence, actors, involved in politics. There are people, places, and communication mediums involved. Even getting a message out
depends on a channel or venue through which that message must travel to reach the

Mckinsey & Co : Mckinsey
McKinsey & Company is a worldwide business consulting company that has been established in 1936. McKinsey focuses on the improving
performance of companies and developing plans for improvement. McKinsey & Company offers their services in all areas of business: HR,
marketing, IT, finance, etc. Business consultants may be hired if a company wants to increase their sales, reduce price of their product, and find the
ways to introduce a new product into the market, and so on. About 80% of the world's largest corporations are McKinsey & Co' clients. The mission
of McKinsey & Co is "to help leaders make distinctive, lasting, and substantial improvements in performance, and constantly build a great firm that
attracts, develops, excites, and retains exceptional people." In addition to the main website, McKinsey uses Facebook as one of the tools of social
media marketing. Their main Facebook page contains posts related to various leaderships programs at McKinsey, news about their clients and current
employees, and news related to business world. One of the main purposes of the page is to reach people who matter the most and improve McKinsey's
knowledge about their customers. According to John Wittenbraker (2014), there are different types of relationships that a company may try to establish
with its followers in social media. We may assume that McKinsey's Facebook page aims at new business partners, potential employees, and influential
business people. Through their

Social Media And Social Networking
Social Networks
History:
In the Business environment, Social networking plays a huge role throughout the world. When it comes to the business or enterprise, social networking
allows employees to share ideas and collaborate more effectively than professional tools like email, facilitating well–informed as well as faster
decision–making and also helps to improve productivity. Social networking sites where people interact freely, sharing and discussing information about
each other and their personal life using conversations, images, videos and audio. These social media data in different forms such as blogs, forums and
Chat box, social networks, Wikipedia, virtual world, tagging & news, digital storytelling and scrapbooking, and data, content, pictures and video
sharing, podcast portals, and collective intelligence, social bookmarking, microblogging. There are lots popular social networking sites such as
Facebook, LinkedIn, Twitter, YouTube.
Theoretical roots made by the sociologists such as Georg Simmel and Emile Durkheim, who wrote the importance of studying patterns of relationships
that connect social actors in social network analysis. The first social networking site degrees launched in 1997. Six degrees can help to create and
share messages among the people.In 2002, they started using Friendster(social networking website) was started in US & It maintains three million
users within three months. Myspace was invented in 2003, which is a clone of fritter & also started

Background And Motivation On Online Social Networks
Background and Motivation:
Another form of attack on online social networks is the Social Link Disclosure based attacks, in which the goal of an attacker is to obtain knowledge
of a significant fraction of the links in the network. The value of participating in an online social network for a user lies majorly in the ability to
leverage the structure of the social network graph. But, knowledge of this social graph by parties other than the service provider paves the way for
powerful data mining, some of which may not be desirable to the users. The ability to conduct these analyses on social networks is becoming
increasingly important in the data mining, database and theoretical computer science communities [4.32]. Since nodes in social ... Show more content
on Helpwriting.net ...
To analyse the relationship between the lookahead provided by the network provider and the number of user accounts required to subvert a portion of
the network. Analyze the usage of weighted graphs to define and/or augment a link structure, that makes the structure more robust and resilient to
attacks. To compare the two solutions and conclude on the pros and cons of both.
Results:
Social Link Disclosure–based Attack: Links refer to the connections between vertices in a network. In the context of online social networks, links are
the connections between users of the network. But not all information related to these connections are suitable to be disclosed to the public.
Goal of the Attack: Social link disclosure–based attacks aim at disclosing such sensitive information related to the links of the social network, and
thereby discover the link structure of the network. Although online social networks are a new domain with a not–so–large research information base ,
knowledge regarding the structure of the network enables the attacker to analyze the network using the powerful graph mining algorithms that have
existed for centuries and have an extremely rich research information base.
There are several approaches to deal with this problem. In this survey, we consider two approaches to Privacy–Preserving Link Analysis. One, by
limiting the lookahead of the interface of an online social network, as suggested by [ ]. Two, by

Social Media Mining : Social Network
Social Media Mining, Social Network Analysis and Social Media Mining Hurdles
Naga Bijesh Roy Raya
800846698
Abstract:
According to Wikipedia Social Media Mining is the process of representing, analyzing and extracting actionable patterns from social media data. The
extensive use of Social media like Facebook, twitter, Google plus, Instagram, LinkedIn and Twitter have been generating massive amounts of social
media and big user–generated data. The world's social networks contains enormous customer details that helps in understanding human behavior and
conduct research on social science. In order to successfully mine the social data, Social Network Analysis is the most important task. A number of
visualization tools are available to analyze these social networks. Even, many corporations has their goal set to tap into social media data in order to
develop their business. Through social media, it is easy to find a lot of information about a celebrity and her whereabouts but finding the real–time
information like energy consumption is very difficult. Also, social media mining faces a dilemma to find out the useful information as it lacks data
or have little or thin data about those we are interested in knowing more about. In this paper, we are going to discuss more on how social media is
mined, how analysis is performed on social networks and ways to overcome hurdles with Social Media Mining.
Introduction:
The boundaries between real world and virtual world is shattered by social

Social Network Analysis Essay
Functionality in SNA(Social Network Analysis)[7]
Functionalities are firstly the visualization of the network, secondly the computation of statistics based on nodes and on edges, and finally, community
detection (or clustering)
1)Visualization of the network– Methods
1) FruchtermanReingold
2) Kamada–Kawai (which has a faster convergence than FruchtermanReingold, but which often does not give so good results than this last one)
2) Computation of statistics based on nodes
A) Vertex and edge scoring
The place of a given actor in the network can be described using measures based on vertex scoring. Common types of vertex scoring are the centrality
measures. Within graph theory and network analysis, there are various measures of the centrality of a vertex to determine the relative importance of
this vertex within the graph
Degree centrality
Closeness centrality
Between's centrality
Vertices that occur on many shortest paths between other vertices have higher between's than those that do not.
PageRank: The score computed by Page Rank is higher for nodes that are highly connected and connected with nodes that are highly connected
themselves.
HITS algorithm: Hyperlink–Induced Topic Search (HITS, also known as hubs and authorities) calculates two scores: hub and authority score. The more
a vertex has outgoing arcs, the higher is its hub score. The more a vertex has incoming links, the higher is its authority score.
Tools for SNA[7,8,9,10]

a) Pajek graph file

The Virtual World Called Social Network
We torment each other each and every day. We claim we want the hate to stop. We want the rumors, disrespect, harassment and bullying to end. We
cringe at the bitter words spoken about us online. And yet we persist to tag along through sharing of photos and videos. The virtual world called social
network continues to corrupt the minds of the innocent and the young. The popularity of social network site will continue to grow in number regardless
of whether we love or hate it. Coupled with the advancement of technology social networks promote an accessible way to manipulate people. The
world within our computers not only provides a smooth way for bully and predators but also negatively impact the health of young teens, productivity
levels, ... Show more content on Helpwriting.net ...
Social networks posses the ability to expand important topics and ideas among a larger audience. But although it holds the high most importance, face
to face communication will develop into an affair of the past, diminishing real life relationships and interaction. Social media made it challenging to
distinguish between the bonds formed over the virtual world and significant relationships we create through face to face interaction. Several teens
dedicate so much of their time toward building followers on online, that they forget to strengthen the meaningful ones in their lives. The most
disturbing is that adults and teens find it troublesome to call their loved ones and partake in an actual conversation. This reduces communication skills
among young adult. They will lack the capacity to communicate and socialize effectively with others. Currently, employers look for people with
communication and social skill. Communication skills play a key to success in the real world.
With excessive use of social network comes an increase of teens suffering from depression. Social networking impact mental health. The elimination of
face to face communication anyone to pose as anybody or anything. Bullying. We experienced a type of it. But the cyber give it a whole new meaning.
The bullies cannot be identified easily and they have sense of security that convinces them they won't get caught considering social networks does not
screen their

Network Theory, Plot Analysis And With Shada's...
As we've previously encountered social network analysis with some of our readings like Franco Moretti's article, "Network Theory, Plot Analysis" and
with Shada's presentation last week, I'm not going to go into too much detail about the basics of social network analysis since I think that would be
kind of redundant. My presentation will focus mainly upon how social network analysis can be used in literary studies to enrich our knowledge of
subsets within the English discipline, and even the discipline as a whole. So before I get into that, I'll provide a super quick review of the most
important parts of social network analysis. Social network analysis started off as a technique in sociology, but has since expanded into other disciplines,
including, of course, literary studies, and the technique allows us to see relationships among actors through visual displays of nodes and and ties. In
their book Social Network Analysis, David Knoke and Song Yang underline some fundamental underlying assumptions about the importance of social
network analysis, and state that "social networks affect perceptions, beliefs, and actions through a variety of structural mechanisms that are socially
contructed by relations among entities. Direst contacts and more intensive interactions dispose entities to better information, greater awareness, and
higher susceptibility to influencing or being influenced by others." Importantly, they also remind us "that networks are not static structures, but are

Structural Vulnerabilities And Link Privacy
Structural vulnerabilities and Link Privacy in Social Networks
Introduction/Background:
In social networks, a link represents a relationship between two nodes in the network. These links can represent email conversations, web surfing,
co–purchases of two or more products (e.g. Amazon), friendships (e.g. Facebook), followers (e.g. Twitter), etc. Often times these relationships are
sensitive and/or confidential in nature [ying–wu] and the users are operating under the assumption that their private relationships will not be disclosed.
In recent years the amount of data accumulated from social networks has become very large, and there is a lot of valuable information to gain from
analyzing and applying data mining to social network data. ... Show more content on Helpwriting.net ...
Results:
Neighborhood Randomization Using Sub–Graph Perturbation
In order for people to mine valuable data from social network graphs they must first be given information about the network. Even without explicit
information about the nodes, an attacker may use structural information about the nodes and graph itself (e.g. node degree) to identify who the
individuals are that the nodes represent. Simple graph–wise randomization addresses this problem by deleting k randomly chosen edges and replacing
them with k randomly chosen edges, however a problem arises since data–miners depend on these structural attributes to properly analyze the social
network. Fard and Wang [fard–wang] propose a structure–aware algorithm for the randomization of social network edges as well as a formal definition
of "link privacy" with respect to a probabilistic threshold. Their motivation is to help conceal sensitive links by using randomization techniques, without
disturbing the actual structure of the graph, which is achieved through local neighborhood perturbation. This is needed so that graphs can be analyzed
without the link structure being left entirely vulnerable to attackers. The goal of their algorithm is to make it so that an adversary cannot know if a
link in the original graph exists from having a link in the new graph.
Problem definition: "Given a

Proposed Socio Spatial Network Models And Compare Them...
In this section we present our computational results of the properties of the proposed socio–spatial network models and compare them with those of
ER, SW, and BA networks when it is appropriate. More specifically, we measure clustering coefficient, network density, average path length,
assortativity, transitivity, and min, max, mean, and standard deviation degree. While several algorithms have been proposed for some of these
measures, for simplicity of reproducing the results, we use the algorithms that have been implemented in the Python's Networkx library. All results
are averaged over 25 independent model runs with different random seeds. It should be noted that in all analysis in this study we only consider
undirected networks. Moreover, since the focus of this study is on the human social network, we limit our analysis to Onnela et al's (2011) findings
that О± в‰€ 1.5 and only consider three values of О± = 1.2, 1.5, and 2 for our sensitivity analysis purposes. 4
–1– Properties of the Spatial
ErdГ¶s–RГ©nyi Network In this subsection we compute and report the characteristics of our proposed SER social network in terms of empirical
regularity measures. ER and SER networks have different parameters, so pairwise comparisons are not possible. However, computing and comparing
their network properties can provide valuable insights about their behavior under considered parameter settings. Here we report network properties for
three different values of connection probability p in the ER

Professional Development Providers Are Agencies That Offer...
Professional development providers are agencies that offer professional learning opportunities to teachers on a variety of topics. They often play a key
role in reform efforts in education by introducing teachers to new policy demands and teaching new pedagogical strategies (Knapp, 2003; Little, 1993).
A wide range of organizations provide PD services, from districts to nonprofits, commercial firms, and universities (Coburn, 2005b; Coburn, Buchanan,
& Morel, 2015; Little, 1989). Much of the research on professional development focuses on determining the features that make professional
development effective–that is, which features of PD engender changes in practices in the classroom and the impact student outcomes (Knapp, 2003).
This stream... Show more content on Helpwriting.net ...
By providing learning opportunities for educators, PD providers introduce new policies to teachers and provide strategies for implementing changes
(Knapp 2003; Little, 1993). Since they interface with teachers, they have the ability to shape and interpret ideas about a policy. Coburn (2005b; 2006),
for example, has shown that professional development providers actively filter, frame, and interpret the meaning of reforms as they present them to
teachers. The nature of the framing impacts how teachers understand and implement the demands of new policies. Outside of this research, little
attention has been paid to PD providers as a group of actors operating in the educational environment. Consequently, we know little about the inner
workings of the professional development sector. There is little empirical evidence about the actors and organizations involved in providing PD
(Coburn et al., 2015 is an exception) or the ideas they are promoting. Furthermore, we know almost nothing about the nature of social relationships
among professional development providers and how they interact to share and promote ideas. While we know that ideas matter in the implementation
process and that PD providers have the potential to shape the ideas teachers encounter, there are no studies to date that explore how PD providers
promote and share ideas about new policy efforts. In response to the CCSS–M,

Graph Model Essay
In order to understand the structure of a complex social network, three random graph models have been used [10]. For an overall comparative study,
the basic centrality measures, clustering coefficient, average path length, and the degree distribution were studied for the original network model as
well as for the random graph models. a.RANDOM GRAPH MODELS A random graph is obtained by starting with a set of n isolated vertices and
adding successive edges between them at random [8]. 1.Erdos–Renyi (ER) random graph model – It is a random graph with n vertices where every
edge has equal probability p of existing. This graph model has a constant and independent probability of two nodes being connected. 2.Barabasi–Albert
(BA) preferential... Show more content on Helpwriting.net ...
Closeness centrality of a node is the reciprocal of the sum of its distances to all other nodes. c.CLUSTERING COEFFICIENT The degree to which
nodes in a graph tend to cluster together in tightly–knit groups is given by the clustering coefficient. d.AVERAGE PATH LENGTH It is defined as the
average number of steps along the shortest paths for all possible pairs of network nodes. It is a measure of the efficiency of information transfer on
a network. Most real networks have a very short average path length leading to the concept of a small world where each one is connected to the
other through a short path. e.DEGREE DISTRIBUTION The degree distribution of a network P(k) is defined to be the fraction of nodes in the
network with degree k. Degree distribution depicts the difference in the degree of connectivity between all the nodes in a network. It gives the
probability distribution of the node degrees over the network. IV.EXPERIMENTAL SETUP In order to generate the random graph models, the
NetworkX module [11] present in Python3 has been used in Spyder (Scientific Python Development Environment) in Windows10 64–bit Operating
System, having an IntelВ®Coreв„ўi3–5015U (2.10GHz) processor and a 4 GB RAM capacity. The Facebook dataset [12] was present in the form of
an edgelist. The dataset was read and its corresponding graph was generated, which serves as the original network representation. The random graphs –
Erdos–Renyi (ER) random

Social Networking
1. Summary of "Five clues that you are addicted to Facebook":
The text is written by Elizabeth Cohen. The text is about how people use more time on Facebook than on social activities. Newton has a daughter on
12 years old. Newton cannot help her daughter with the homework, because she spends too much time on Facebook. Another example is Paula Pile,
who is a therapist. Paula has three clients with different Facebook issues. That conclude that Facebook leads people from the real world into the
network world, because people enjoy more time on Facebook than in real life. Newton checks her Facebook–site many times in a day, for social
updates about her friends, she checks Facebook everywhere at work and home. Facebook can give people a wrong ... Show more content on
Helpwriting.net ...
In the third text "Social networking benefits validated", tell us about that social network is a very important thing and it has some useful skills in the
peopleВґs future. We hear about how the new digital world open many doors and gives the individual people many different opportunities.
As we see in the different texts, social network has a problem. The problem is how we are going to use the social network in a right and normal way.
3. Comment to the statement from text 3:
I agree with Mizuko Itos words about it is a good way for young people to pick up the technical and social skills they need to be competent citizens
in the digital age, because a lot of people can easier get to known each other. It is easier for people to learn unknown culture, religion, traditions and
language. I think we can learn many things, we easily can use in a smart way, from different races of humanity. In another way, it can be very
dangerous to be active in social networks, because hackers and bad people in world easier can get into your computer with a virus or a malware.
4. Discussion for the blog NetworkingOnline:
Can you trust him even though, he says, he is your friend?
One of my friends was sitting on his computer, while he was chatting on Facebook with one of his friends. Suddenly a message from another of his
friends popped up. My friend thought; "it must be that homework he said he will sent me later after school" so he opened the

The 's Attachment Theory Of Hypertension, High...
Psychological Components Maxine was taken to the hospital complaining of heart palpitations, trouble breathing, and feeling like she was about to
meet her imminent doom. Maxine has reported a long history of hypertension, high cholesterol, diabetes, psoriasis, along with other skin problems that
are usually associated with lack of personal hygiene, poor nutrition, lack of sleep and/or stress. Upon being hospitalized for two days, the medical team
diagnosed the situation as a severe panic attack due to Maxine losing her only sense of stability: her cell phone and admitting that she was living in an
unstable environment. This prognosis was made after the doctors ruled out a heart attack and stabilized her diabetes, while slightly adjusting her
medications for hypertension and diabetes and stabilizing her iron through supplements. Bolwby's Attachment theory stresses the importance of secure
attachment at birth between the child and caregiver and stresses this time frame is very crucial in the development of the right brain (Schore, 2012).
The vignette does not mention Maxine's attachment upon birth with her caregiver but I would assume that it is secured because as one can see from
the vignette Maxine has developed resilience after all the hell she has endured. Research verifies that there is both a good and bad way to cope with
stress. One can see that Maxine has coped with stress in both positive and negative ways. I personally think that Maxine's perspective on

What Does Good / Bad Communication Look Like A Network?
What Does Good / Bad Communication Look Like In A Network? There are, or have been, a number of scholars who have deployed SNA for
researches in the communication domain. Their works may be summarized in Table 3. And, as will be reviewed briefly below, several existing studies
have demonstrated that SNA metrics and sociogram characteristics could serve as leading indicators of the quality of communication. Loosemore
(1998) conducted a case study of a construction crisis to challenge the view that quantitative methods cannot be used to understand the social nature of
construction research. This research found that the quality of communication could be indicated by the advantages and damaging effects of factions.
During phase 1 of the crisis management process, there was one faction which consists of the architect, engineer, contractor – quantity surveyor and
contractor – site manager. It indicates that there was good communication across the consultant/ contractor division. In comparison, during phase 3 of
the reaction process, the communication was not positive. The dangers of factions could give some indication of the negative communication.
Specifically, the site manager and engineer still formed the strongest faction, revealing a lack of focus among other actors. Additionally, a relatively
equal distribution of a relatively high level of closeness could be indicative of effective communication with minimal distortion. Recent research
includes Chinowsky et al. (2008)'s

The Proliferation Of Gps Enabled Mobile Devises And The...
III.RELATED WORKS Here we are discussing some papers related to k–cover group queries clustering in geo–social networks. 1. A General
Framework for Geo–Social Query Processing In this paper make a case for concerning the proliferation of GPS enabled mobile devises and the
popularity of social networking have recently light emitting diode to the zoom of Geo–Social Networks (GEOSN s). GEOSN s has created a fertile
ground for new location based social interactions. These are expedited by GEOSN queries that extract helpful info combining each the social
relationships and therefore the current location of the users. This paper constitutes the rst systematic work on GEOSN question process. A general
framework that ores exile knowledge management and algorithmic style. The design segregates the social, geographical and question process modules.
every GEOSN question is processed via a clear combination of primitive queries issued to the social and geographical Modules.to demonstrate the
facility of framework by introducing several asic" and advanced" question sorts, and making numerous solutions for each type. Finally, perform
Associate in Nursing thorough Experimental analysis with real and synthetic datasets, supported realistic implementations with each business software
(such as mongodb) and progressive analysis strategies. Results conform the viability of our framework in typical large–scale GEOSN.. 2. The Where
and When of Finding New Friends: Analysis of a Location

The Digital Human Activity On Social Networking Sites
chapter{Conclusions}% and Future Research Directions} label{final:conclustion} drop{S}{ocial} networks have been the pulse of human society,
traffic on these social networking sites currently rival that of the traditional Web. The digital human activity on social networking sites has generated a
tremendous amount of data and due to the availability of affordable and portable digital devices, the social interactions or activities on these networking
sites can be measured and stored in digital formats. These data contain a lot of important information and had been used in testing numerous
sociological hypothesis and also modeling systems that depend on human activities and research in this area is actively ongoing in the research
community. The social interaction as the result of the human activities on these networks generate a non–trivial topology in the process of time.
%After the discovering of the ``heavy tail distribution", the small world phenomenon and high clustering in real networks, And various
graph–theoretical tools have been developed and used to analyze this network topology and also modeled networks with such topology. In this
dissertation, the theory and key technology challenges within social networks are thoroughly investigated and various novel findings are presented.
The remaining parts of this chapter are organized as follows. The work and results obtained in the thesis are presented in Section ef{summary}. Section
ef{ThesisContr} highlights the main

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