TOPIC networking portfolio
ACADEMIC LEVEL Undergrad. (yrs 3-4)
DISCIPLINE Business Studies
DOCUMENT TYPE Term paper
SPACING DOUBLE
CITATION STYLE Harvard
Mining and Analyzing Academic Social NetworksEditor IJCATR
Academics establish relationships by way of various interactions like jointly authoring a research paper or report, jointly
supervising a thesis, working jointly on a project, etc. Some of these relationships are ubiquitous whereas other are hard to keep track
of. Of all types of possible academic and research collaborations, co-authorship is best documented. In this paper we analyze the coauthorship
based academic social networks of computer science engineering departments of Indian Institutes of Technology (IITs) as
evidenced from their research publications produced during 2011 and 2015. We use social network analysis metrics to study the
collaboration networks in four leading IITs. From experimental results it can be concluded that IIT Delhi and IIT Kharagpur have a
close knit collaboration network whereas the collaboration network of IIT Kanpur and IIT Madras is fragmented. However, the
collaboration networks of all the four IITs exhibit similar network properties as expected from any other collaboration network
Power no longer resides exclusively (if at all) in states, institutions, or large corporations. It is located in the networks that structure society. Social network analysis seeks to understand networks and their participants and has two main focuses: the actors and the relationships between them in a specific social context.
Mining and Analyzing Academic Social NetworksEditor IJCATR
Academics establish relationships by way of various interactions like jointly authoring a research paper or report, jointly
supervising a thesis, working jointly on a project, etc. Some of these relationships are ubiquitous whereas other are hard to keep track
of. Of all types of possible academic and research collaborations, co-authorship is best documented. In this paper we analyze the coauthorship
based academic social networks of computer science engineering departments of Indian Institutes of Technology (IITs) as
evidenced from their research publications produced during 2011 and 2015. We use social network analysis metrics to study the
collaboration networks in four leading IITs. From experimental results it can be concluded that IIT Delhi and IIT Kharagpur have a
close knit collaboration network whereas the collaboration network of IIT Kanpur and IIT Madras is fragmented. However, the
collaboration networks of all the four IITs exhibit similar network properties as expected from any other collaboration network
Power no longer resides exclusively (if at all) in states, institutions, or large corporations. It is located in the networks that structure society. Social network analysis seeks to understand networks and their participants and has two main focuses: the actors and the relationships between them in a specific social context.
Social Network Analysis for Competitive IntelligenceAugust Jackson
How can CI teams apply the concepts of social network analysis to gain insight into the capabilities and plans of their competitors? Presented by Jim Richardson and August Jackson in April 2007 at the Society of Competitive Intelligence Professionals annual conference in New York City.
Subscriber Churn Prediction Model using Social Network Analysis In Telecommun...BAINIDA
Subscriber Churn Prediction Model using Social Network Analysis In Telecommunication Industry โดย เชษฐพงศ์ ปัญญาชนกุล อาจารย์ ดร. อานนท์ ศักดิ์วรวิชญ์
ในงาน THE FIRST NIDA BUSINESS ANALYTICS AND DATA SCIENCES CONTEST/CONFERENCE จัดโดย คณะสถิติประยุกต์และ DATA SCIENCES THAILAND
The science of networks is becoming an increasingly important and intriguing area of study that reveals many a patterns and relationships often hidden. This presentation is about the use of SNA to study the network of the Digital Library Community
The Mathematics of Social Network Analysis: Metrics for Academic Social NetworksEditor IJCATR
Social network analysis plays an important role in analyzing social relations and patterns of interaction among actors in a
social network. Such networks can be casual, like those on social media sites, or formal, like academic social networks. Each of these
networks is characterised by underlying data which defines various features of the network. Keeping in view the size and diversity of
these networks it may not be possible to dissect entire network with conventional means. Social network visualization can be used to
graphically represent these networks in a concise and easy to understand manner. Social network visualization tools rely heavily on
quantitative features to numerically define various attributes of the network. These features also referred to as social network metrics
used everyday mathematics as their foundations. In this paper we provide an overview of various social network analysis metrics that
are commonly used to analyse social networks. Explanation of these metrics and their relevance for academic social networks is also
outlined
The social network analysis (SNA), branch of complex systems can be used in the construction of multiagent
systems. This paper proposes a study of how social network analysis can assist in modeling multiagent
systems, while addressing similarities and differences between the two theories. We built a prototype
of multi-agent systems for resolution of tasks through the formation of teams of agents that are formed on
the basis of the social network established between agents. Agents make use of performance indicators to
assess when should change their social network to maximize the participation in teams.
Social network analysis [SNA] is the mapping and measuring of relationships and flows between people, groups, organizations, computers, URLs, and other connected information/knowledge entities. SNA provides both a visual and a mathematical analysis of human relationships.
An Integrated Approach to Studying Multiplexity in Entrepreneurial NetworksIan McCarthy
Multiplexity occurs in entrepreneurial networks when flows interact within and across relationships. It defines how these networks function and evolve and cannot be examined by studying network structure or flows separately. Despite the growing recognition of the importance of multiplexity, related research has remained limited and lacks an integrated approach to simultaneously examine structure and flows, thus restricting our understanding of entrepreneurial networks. We propose an integrated approach for conducting inductive studies into multiplexity, involving an adaptation of the “business networks” conceptual model, the configuration theory perspective, and the Q-analysis method.
a modified weight balanced algorithm for influential users community detectio...INFOGAIN PUBLICATION
In the modern era online users are increasing day by day. Different users are using various social networks in different forms. The behavior and attitude of the users of social networking sites varies U2U (User to User). In online social networking users join many groups and communities as per interests and according to the groups’/Communities’ influential user. This paper consist of 7 sections , first section emphasis on introduction to the community evelotion and community. Second section signify movement between communities ,third section involve related work about the research.. Fourth section includes Problem Definition and fifth section involve Methodology (Proposed Algorithm Process ,Get Community Matrix, Community detetcion).Sixth section involve Implementation. Furthermore implementation include Datasets ,Quantitative performance, Graphical Results, Enhancement in the existing work..Last section include Conclusion and then references. In this paper,we are implementing and proposing the community detection in social media .In the proposed we have deployed a Longest Chain Subsequence metric for finding the number of connections to the kernel community.
Social Network Analysis for Competitive IntelligenceAugust Jackson
How can CI teams apply the concepts of social network analysis to gain insight into the capabilities and plans of their competitors? Presented by Jim Richardson and August Jackson in April 2007 at the Society of Competitive Intelligence Professionals annual conference in New York City.
Subscriber Churn Prediction Model using Social Network Analysis In Telecommun...BAINIDA
Subscriber Churn Prediction Model using Social Network Analysis In Telecommunication Industry โดย เชษฐพงศ์ ปัญญาชนกุล อาจารย์ ดร. อานนท์ ศักดิ์วรวิชญ์
ในงาน THE FIRST NIDA BUSINESS ANALYTICS AND DATA SCIENCES CONTEST/CONFERENCE จัดโดย คณะสถิติประยุกต์และ DATA SCIENCES THAILAND
The science of networks is becoming an increasingly important and intriguing area of study that reveals many a patterns and relationships often hidden. This presentation is about the use of SNA to study the network of the Digital Library Community
The Mathematics of Social Network Analysis: Metrics for Academic Social NetworksEditor IJCATR
Social network analysis plays an important role in analyzing social relations and patterns of interaction among actors in a
social network. Such networks can be casual, like those on social media sites, or formal, like academic social networks. Each of these
networks is characterised by underlying data which defines various features of the network. Keeping in view the size and diversity of
these networks it may not be possible to dissect entire network with conventional means. Social network visualization can be used to
graphically represent these networks in a concise and easy to understand manner. Social network visualization tools rely heavily on
quantitative features to numerically define various attributes of the network. These features also referred to as social network metrics
used everyday mathematics as their foundations. In this paper we provide an overview of various social network analysis metrics that
are commonly used to analyse social networks. Explanation of these metrics and their relevance for academic social networks is also
outlined
The social network analysis (SNA), branch of complex systems can be used in the construction of multiagent
systems. This paper proposes a study of how social network analysis can assist in modeling multiagent
systems, while addressing similarities and differences between the two theories. We built a prototype
of multi-agent systems for resolution of tasks through the formation of teams of agents that are formed on
the basis of the social network established between agents. Agents make use of performance indicators to
assess when should change their social network to maximize the participation in teams.
Social network analysis [SNA] is the mapping and measuring of relationships and flows between people, groups, organizations, computers, URLs, and other connected information/knowledge entities. SNA provides both a visual and a mathematical analysis of human relationships.
An Integrated Approach to Studying Multiplexity in Entrepreneurial NetworksIan McCarthy
Multiplexity occurs in entrepreneurial networks when flows interact within and across relationships. It defines how these networks function and evolve and cannot be examined by studying network structure or flows separately. Despite the growing recognition of the importance of multiplexity, related research has remained limited and lacks an integrated approach to simultaneously examine structure and flows, thus restricting our understanding of entrepreneurial networks. We propose an integrated approach for conducting inductive studies into multiplexity, involving an adaptation of the “business networks” conceptual model, the configuration theory perspective, and the Q-analysis method.
a modified weight balanced algorithm for influential users community detectio...INFOGAIN PUBLICATION
In the modern era online users are increasing day by day. Different users are using various social networks in different forms. The behavior and attitude of the users of social networking sites varies U2U (User to User). In online social networking users join many groups and communities as per interests and according to the groups’/Communities’ influential user. This paper consist of 7 sections , first section emphasis on introduction to the community evelotion and community. Second section signify movement between communities ,third section involve related work about the research.. Fourth section includes Problem Definition and fifth section involve Methodology (Proposed Algorithm Process ,Get Community Matrix, Community detetcion).Sixth section involve Implementation. Furthermore implementation include Datasets ,Quantitative performance, Graphical Results, Enhancement in the existing work..Last section include Conclusion and then references. In this paper,we are implementing and proposing the community detection in social media .In the proposed we have deployed a Longest Chain Subsequence metric for finding the number of connections to the kernel community.
SOCIAL INTERMEDIARIES AND THE LOCATION OF AGENCY: A Conceptual Reconfiguratio...Martin Berg
Paper presented at Social relations in turbulent times: 10th Conference of the European Sociological Association, Geneva, Switzerland, 7th-10th September 2011.
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Current trends of opinion mining and sentiment analysis in social networkseSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Planning systems and practices – including plan preparation and implementation- are often comprise of different actors. The engagement of planning professionals in the planning process is not always static. At all levels, different actors play different roles in the planning process. The design and implementation of any planning process effectively, requires an understanding of the complexity of that process and its related networks. This paper proposes a means of mapping the network of resettlement process and housing delivery
system in a selected resettlement scheme, applying the Actor Network Theory (ANT). ANT was introduced by Bruno Latour and Michal Callon in 1990s and it treats equally all human and non-human actors and their relationships in a network. Accordingly, the current research considers legal frameworks, policies, acts and laws as non-human actors within the same network where human actors exist. Utilizing a resettlement community in Anuradhapura as a case study, this research focuses on the flow of information between different actors related to the planning process. Different field based approaches were used to trace such flows of relationships between humans and non-human actors in the resettlement planning process. The application of actor network mapping analysis reveals the influence of different human and non-human actors in shaping and reshaping the planning process in plan preparation and implementation.
The International Journal of Engineering and Science (IJES)theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
Energy Awareness and the Role of “Critical Mass” In Smart Citiesirjes
A Smart City could be depicted as a place, logical and physical, in which a crowd of heterogeneous
entities is related in time and space through different types of interactions. Any type of entity, whether it is a
device or a person, clustered in communities, becomes a source of context-based data.
Energy awareness is able to drive the process of bringing our society to limit energy waste and to optimize
usage of available resources, causing a strong environmental and social impact. Then, following social network
analysis methodologies related to the dynamics of complex systems, it is possible to find out, emergent and
sometimes hidden new habits of electricity usage. Through an initial Critical Mass, involving a multitude of
consumers, each related to more contexts, we evaluate the triggering and spreading of a collective attitude. To
this aim, in this paper, we propose a novel analytical model defining a new concept of critical mass, which
includes centrality measures both in a single layer and in a multilayer social network.
The possibility of modeling and abstracting interaction has been the key driver in social network-based
research as it facilitates, among other things, the generation of recommendations which is vital for most
businesses. Being ubiquitous, learning activities also facilitate the formation of these networks. Thus, to
gain insights into the evolution of activities and interactions that occur during learning events, it is
important to understand these networks and their respective models. In this article, we present a survey of
the representative methods employed in modeling various interactions observed in learner-centered
networks. Finally, we comparatively analyze the respective models and identify which models perform
better in respective cases.
Online social network mining current trends and research issueseSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
OntoSOC: S ociocultural K nowledge O ntology IJwest
This paper
present
s
a
sociocultural knowledge ontology (OntoSOC) modeling appro
a
ch. Ont
o-
SOC modeling appro
a
ch is based on Engeström‟s
Human Activity Theory (HAT)
.
That Theory allowed us
to identify fundamental concepts and rel
a
tionshi
ps between them. The top
-
down precess has been used to
d
efine differents sub
-
concepts. The
modeled vocabulary permits us to organise data, to facilitate in
form
a-
tion retrieval
by introducing a semantic layer in social web platform architec
ture,
we project t
o impl
e
ment.
This platform can be considered as a «
collective me
mory
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and Participative and Distributed Info
r
mation
System
(PDIS) which will allow Cameroonian communities to share an co
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construct knowledge on perm
a-
nent organi
z
ed activ
i
ties.
Religion is an amalgamation of different world views, cultural beliefs, morals, revelations, and prophesies that often have spiritual backgrounds and meanings to members who subscribe to a given faith.
Due to several causes like religious intolerance, economic contempt, and political scapegoating, Jews in Christian Europe struggled for more than a millennium to uphold their faith and lives.
The news article by CBS News titled "Religious leaders speak out after shooting at Sikh temple leaves 2 hospitalized" was authored by Brady Halbleib. It is about a shooting at a Sikh temple in Sacramento that left two people hospitalized. The news article was written on March 27, 2023.
A government's or other institution's public policy on climate change refers to the measures and rules created to diminish the impacts of climate change. The phrase "climate change" denotes to the overall process by which human actions like burning fossil fuels and deforestation affect the Earth's climatic system over the long term.
The way the Christian Jesus is portrayed in Scientology, from the simple basics to the complex OT VIII portrayal, is very different from how Christians view Jesus.
In this course, you will develop an original curriculum design. This curriculum will be a minimum of the equivalent of a single unit of instruction, or one week's worth of work in a typical public school. This would encompass, at a minimum, five one-hour sessions of instruction. Your curriculum design may be longer, if you choose. You may select any topic you wish. Students have created a wide variety of projects in the past, including a course on "How to Use a Telescope to Read the Night Sky" to "Introduction to Dental Hygiene." It is entirely up to you! Three samples are available in Start Here for your review. Your professor will also discuss the variety of potential projects in a Collaborate Session, Course Announcements and Discussion.
This project will take place in two parts. Part One offers an overview of the curriculum itself. In Part Two you will design specific instruction including detailed lesson plans and instructional materials. Each part (one and two) should be formatted as a formal paper, be no more than 10-12 pages in length (not including title and reference pages) and is worth 15% of your grade.
Part One of the Curriculum Design Project includes: The curriculum map, developing an outline of the curriculum, including needs assessment, goals, objectives, scope and sequence, and a plan for evaluation. Additional information about this assignment can be found in Resource areas of your online course including the weekly assignment instructions, announcements, and/or discussion posts by your professor.
PLEASE use the outlined copy of the final project for Part 1 only. Also, please use my other TWO files EUD741 & EDU742 to construct the paper!
Topic Legacy of the Progressive Era
Academic level Undergrad. (yrs 3-4)
Discipline History
Document type PowerPoint Presentation
Spacing
DOUBLE
Citation style APA 7
In order to give us background on the influence of psychoanalysis not just within psychology but within culture generally (including the fascination with dreams and symbolism that we see in much of mid-20th century Western art and film) I’ve uploaded an article on the two warring giants, Freud and Jung. Note three new pieces of information you learned. Why do you think there was, and still is, so much fascination with the unconscious and so much disagreement about how its functions are described
2. The attack on psychoanalysis in the Third Reich led to the flight, exile, or imprisonment and sometimes death of influential researchers and theorists, particularly Jewish ones. In an earlier board you considered the role of government in psychology, but we have seldom seen such sweeping and violent intervention into science from governmental authority. Note any three aspects of the political standing of psychology and psychiatry that struck you in your reading of the uploaded article. What do you think are contexts or characteristics that led some non-Jewish figures to protest and some to acquiesce in the suppression and condemnation of the work of their Jewish colleagues
Please answer both questions and all parts of the question.
[Note: This is a partial preview. To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
Sustainability has become an increasingly critical topic as the world recognizes the need to protect our planet and its resources for future generations. Sustainability means meeting our current needs without compromising the ability of future generations to meet theirs. It involves long-term planning and consideration of the consequences of our actions. The goal is to create strategies that ensure the long-term viability of People, Planet, and Profit.
Leading companies such as Nike, Toyota, and Siemens are prioritizing sustainable innovation in their business models, setting an example for others to follow. In this Sustainability training presentation, you will learn key concepts, principles, and practices of sustainability applicable across industries. This training aims to create awareness and educate employees, senior executives, consultants, and other key stakeholders, including investors, policymakers, and supply chain partners, on the importance and implementation of sustainability.
LEARNING OBJECTIVES
1. Develop a comprehensive understanding of the fundamental principles and concepts that form the foundation of sustainability within corporate environments.
2. Explore the sustainability implementation model, focusing on effective measures and reporting strategies to track and communicate sustainability efforts.
3. Identify and define best practices and critical success factors essential for achieving sustainability goals within organizations.
CONTENTS
1. Introduction and Key Concepts of Sustainability
2. Principles and Practices of Sustainability
3. Measures and Reporting in Sustainability
4. Sustainability Implementation & Best Practices
To download the complete presentation, visit: https://www.oeconsulting.com.sg/training-presentations
Enterprise Excellence is Inclusive Excellence.pdfKaiNexus
Enterprise excellence and inclusive excellence are closely linked, and real-world challenges have shown that both are essential to the success of any organization. To achieve enterprise excellence, organizations must focus on improving their operations and processes while creating an inclusive environment that engages everyone. In this interactive session, the facilitator will highlight commonly established business practices and how they limit our ability to engage everyone every day. More importantly, though, participants will likely gain increased awareness of what we can do differently to maximize enterprise excellence through deliberate inclusion.
What is Enterprise Excellence?
Enterprise Excellence is a holistic approach that's aimed at achieving world-class performance across all aspects of the organization.
What might I learn?
A way to engage all in creating Inclusive Excellence. Lessons from the US military and their parallels to the story of Harry Potter. How belt systems and CI teams can destroy inclusive practices. How leadership language invites people to the party. There are three things leaders can do to engage everyone every day: maximizing psychological safety to create environments where folks learn, contribute, and challenge the status quo.
Who might benefit? Anyone and everyone leading folks from the shop floor to top floor.
Dr. William Harvey is a seasoned Operations Leader with extensive experience in chemical processing, manufacturing, and operations management. At Michelman, he currently oversees multiple sites, leading teams in strategic planning and coaching/practicing continuous improvement. William is set to start his eighth year of teaching at the University of Cincinnati where he teaches marketing, finance, and management. William holds various certifications in change management, quality, leadership, operational excellence, team building, and DiSC, among others.
Implicitly or explicitly all competing businesses employ a strategy to select a mix
of marketing resources. Formulating such competitive strategies fundamentally
involves recognizing relationships between elements of the marketing mix (e.g.,
price and product quality), as well as assessing competitive and market conditions
(i.e., industry structure in the language of economics).
Tata Group Dials Taiwan for Its Chipmaking Ambition in Gujarat’s DholeraAvirahi City Dholera
The Tata Group, a titan of Indian industry, is making waves with its advanced talks with Taiwanese chipmakers Powerchip Semiconductor Manufacturing Corporation (PSMC) and UMC Group. The goal? Establishing a cutting-edge semiconductor fabrication unit (fab) in Dholera, Gujarat. This isn’t just any project; it’s a potential game changer for India’s chipmaking aspirations and a boon for investors seeking promising residential projects in dholera sir.
Visit : https://www.avirahi.com/blog/tata-group-dials-taiwan-for-its-chipmaking-ambition-in-gujarats-dholera/
Business Valuation Principles for EntrepreneursBen Wann
This insightful presentation is designed to equip entrepreneurs with the essential knowledge and tools needed to accurately value their businesses. Understanding business valuation is crucial for making informed decisions, whether you're seeking investment, planning to sell, or simply want to gauge your company's worth.
RMD24 | Debunking the non-endemic revenue myth Marvin Vacquier Droop | First ...BBPMedia1
Marvin neemt je in deze presentatie mee in de voordelen van non-endemic advertising op retail media netwerken. Hij brengt ook de uitdagingen in beeld die de markt op dit moment heeft op het gebied van retail media voor niet-leveranciers.
Retail media wordt gezien als het nieuwe advertising-medium en ook mediabureaus richten massaal retail media-afdelingen op. Merken die niet in de betreffende winkel liggen staan ook nog niet in de rij om op de retail media netwerken te adverteren. Marvin belicht de uitdagingen die er zijn om echt aansluiting te vinden op die markt van non-endemic advertising.
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The world of search engine optimization (SEO) is buzzing with discussions after Google confirmed that around 2,500 leaked internal documents related to its Search feature are indeed authentic. The revelation has sparked significant concerns within the SEO community. The leaked documents were initially reported by SEO experts Rand Fishkin and Mike King, igniting widespread analysis and discourse. For More Info:- https://news.arihantwebtech.com/search-disrupted-googles-leaked-documents-rock-the-seo-world/
What is the TDS Return Filing Due Date for FY 2024-25.pdfseoforlegalpillers
It is crucial for the taxpayers to understand about the TDS Return Filing Due Date, so that they can fulfill your TDS obligations efficiently. Taxpayers can avoid penalties by sticking to the deadlines and by accurate filing of TDS. Timely filing of TDS will make sure about the availability of tax credits. You can also seek the professional guidance of experts like Legal Pillers for timely filing of the TDS Return.
Kseniya Leshchenko: Shared development support service model as the way to ma...Lviv Startup Club
Kseniya Leshchenko: Shared development support service model as the way to make small projects with small budgets profitable for the company (UA)
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RMD24 | Retail media: hoe zet je dit in als je geen AH of Unilever bent? Heid...BBPMedia1
Grote partijen zijn al een tijdje onderweg met retail media. Ondertussen worden in dit domein ook de kansen zichtbaar voor andere spelers in de markt. Maar met die kansen ontstaan ook vragen: Zelf retail media worden of erop adverteren? In welke fase van de funnel past het en hoe integreer je het in een mediaplan? Wat is nu precies het verschil met marketplaces en Programmatic ads? In dit half uur beslechten we de dilemma's en krijg je antwoorden op wanneer het voor jou tijd is om de volgende stap te zetten.
3.0 Project 2_ Developing My Brand Identity Kit.pptxtanyjahb
A personal brand exploration presentation summarizes an individual's unique qualities and goals, covering strengths, values, passions, and target audience. It helps individuals understand what makes them stand out, their desired image, and how they aim to achieve it.
Personal Brand Statement:
As an Army veteran dedicated to lifelong learning, I bring a disciplined, strategic mindset to my pursuits. I am constantly expanding my knowledge to innovate and lead effectively. My journey is driven by a commitment to excellence, and to make a meaningful impact in the world.
1. Social Network 1
SOCIAL NETWORK
by [Name]
Course
Professor’s Name
Institution
Location of Institution
Date
2. Social Network 2
Social Network
My network is a social network since it contains people having some patterns of
contact or collaborations between them. These patterns include the patterns of friendship
between the members and patterns of business relationships between the members. As a
result, most of these people tend to know each other very well while others do not know each
other (Ryu, 2010, p. 25). The other trait of this network that makes it a social network is the
process used to gather information concerning its members. Data collection is carried out by
directly questioning the participants through questionnaires and interviews. These methods of
data collection are very intensive and hence are only effective when the group is small in
size.
Subjective biases are also common in this network. For instance, different
respondents have a varied definition of a single person in the network. In other words, how
one person in the network defines another person in the same network is very different from
what another person in the same network can define. From the response obtained, it is hard to
comprehend how some people in this network perceive others to be.
There exist brokers in the network, who play a significant role in connecting different
types of people in the network. The nature of the connection that the brokers provide is very
effective in the existence of the group since they are very influential. Brokers act like agents
of change since they can effectively influence people who are not familiar with each other in
embracing some change and other effects. Brokers usually have a large knowledge of what
can effectively work for the entire network. They also have an effective influence and
legitimacy in different groups and hence can effectively act as the agents of change. In my
network, many people are not familiar with each other. Therefore, it is the role of the broker
to ensure that all these people can effectively work together. Therefore, brokers in my
network work and act as a bridge between various groups. The most central person in the
3. Social Network 3
network is the person who has an influential position in the network. In the absence of the
central person, the group will not stand nut will rather collapse. Central players have a special
role in keeping the group together.
ANT identifies the key roles that are played in the network. Among others, the most
important of these are obligatory points of passage, immutable mobiles and boundary objects.
Obligatory points of passage (henceforth: OPP) can be defined as critical network channels
or funnels through which actors (mainly the primary actor or the network builder) become
indispensable for the operation of the network. For an innovation project, for example,
project-leaders must arrange all entities, resources, and forces to converge them in a given
direction. By creating a strong OPP they not only ensure that all flows (information,
materials, interests, etc.) must pass through their domain, but they can act upon the entities in
the network to translate and align them towards the goals of the project.
As for immutable mobiles, is a term developed to describe those objects which are
transportable while essentially remaining the same (they preserve their inherent
characteristics). Immutable mobiles are important for maintaining and stabilizing actor-
networks since they are capable of circulating in the network space without losing their
meaning (or shape) in the process. The most obvious example of such an object is a printing
press, which allows ideas printed on paper to be disseminated across space and time without
being distorted. Boundary objects play the third key role in actor-networks. “Boundary
objects are objects which are both plastic enough to adapt to local needs and constraints of
the several parties employing them, yet robust enough to maintain a common identity across
sites. They are weakly structured in common use, and become strongly structured in
individual-site use. They may be abstract or concrete. They have different meanings in
different social worlds but their structure is common enough to more than one world to make
them recognizable means of translation. The creation and management of boundary objects is
4. Social Network 4
key in developing and maintaining coherence across intersecting social worlds”. One
opportune example of this for social science scholars concerns data, especially the utilization
of data in a mixed-methods research project. The very same data can be processed, analysed
and interpreted differently by qualitative and quantitative researchers (Kim & Lee, 2014,
p.165). It is worth mentioning that in ANT there is no clear structure as far as networks are
concerned since their inner organization is in constant flux. Actor-networks can always
redefine themselves if new entities connect to them. The topography of a network is not a
formal (and visual) representation of a network but an analysis of how translations,
mobilization, the circulation of entities (both human and nonhuman) and orderings (i.e., the
extension and stabilization of power relations in new spaces) occur.
The most important characteristic of network theory is that, in order to explain social
phenomena, it asks that I turn our attention to relational data and the relationships
among the interdependent subjects in society, inferring a shift away from monadic
variables (attributes of actors) towards dyadic variables (attributes of pairs of actors,
attributes of relations among actors) among the total set of actors. Relying on graph
theory, a network can be construed as a graph formed by a set of actors/vertices (social actors
or objects) and the set of relations which connect them, although a network also contains
more information that can be depicted by a graph such as the nature of vertices and/or the
relations on the graph. Some have used an understanding of relations to investigate more
substantive questions, while others have followed a more formalistic approach by mainly
focusing on the mathematical form of networks (Liu, Ho, & Lu, 2017, p. e.p0170293). With
the emergence of disciplines such as network science, social computing has facilitated
collaboration between the natural sciences (physics, mathematics, biology, etc.) and social
science. Ties themselves can be as diverse as it is possible to imagine as they embrace every
aspect of social relations including kinships, friendships, co-workers, co-authors, the
5. Social Network 5
transmission of disease, trade flows, flows of information, the diffusion of innovations,
material support, military support, institutional affiliations, political affiliation, etc. Among
the same set of actors many networks can be mapped, each with different structures, roles,
and positions. Each kind of tie can form a separate network, and multiple networks may be
analyzed and compared for the same group of actors. In the social sciences, dyadic ties can
be grouped into the following four categories: 1) similarities based on location, membership
or attribute; 2) social relations based on kinship, another role, affective or cognitive; 3)
interactions; and, 4) flows (Barbalet, 2017, p.333).
Several factors are worth considering when deciding between ANT and SNA. In
decision-making you can, for example, take into account which scientific community you
aspire to belong to, and which philosophical background and scientific style you prefer. A
look at the abstracts of the major conferences and journals of the Science and
Technology Studies field in which ANT scholars publish (such as the EASST conferences,
or the Social Studies of Science journal) and the major conferences and journals of the
SNA tradition (such as Sunbelt and the European Sunbelt, and the journals Social Networks,
and Connections) can quickly give you a feel for the divergent nature of the two scientific
communities, the different philosophical underpinnings and research styles involved. Another
issue to consider is the topic under examination and how the strengths of the approaches may
be best utilized. For example, and as discussed earlier, one of the strengths of ANT is that it
is a useful analytical tool for studying the construction of networks. Applying the
terminology of the different stages of translation can be illuminating in the study of the
process of network creation. As also mentioned previously, ANT can be especially useful in
the study of innovations, user-unfriendly situations, accidents and breakdowns and historical
accounts: in these cases the relevance of non-human elements can be made more easily
visible. Moreover, a pre-existing body of research has already applied ANT in these fields so
6. Social Network 6
one may find guiding examples when designing a project. Network size may be an issue to
consider as well. When dealing with large networks with many elements, one strength of
SNA is that it can summarize major aspects of the networks using quantitative processes.
We have argued that it may be fruitful to promote some convergence between SNA
and ANT. However, many issues have not been resolved so far in respect of how this can be
done. It is important that the different philosophical underpinnings are explicitly reflected
upon in the solutions that are offered, and how convergence influences theoretical thought in
the two areas is considered (for example, how theories in SNA could be modified if non-
human elements were also taken into account as nodes within a heterogeneous network). We
cannot emphasize enough that much of the work of ANT and SNA speaks to different
research communities which use different research styles and adhere to different ontologies
and epistemologies. Accordingly, the audience is also an important factor to consider when
thinking about how it might be possible to use ideas from both traditions: who would be a
willing recipient of such a mixture of ideas? The authors are of the view that this problem
might be more easily solved if either approach was infused with a small contribution from the
other so that variations are created that lean either towards the ANT or SNA approach, rather
than attempting to blend the two approaches fully. The variations in the philosophical
foundations of the two strands of thought also support the view that caution should be applied
when attempting to merge the two traditions and stress the need to reinterpret these concepts
in the process of fitting them to the main area of research interest.
7. Social Network 7
Bibliography
Barbalet, J., 2017. Dyadic characteristics of guanxi and their consequences. Journal for the
Theory of Social Behaviour, 47(3), pp.332-347.
Kim, Y. and Lee, W. (2014). Networking for Philanthropy: Increasing Volunteer Behavior
via Social Networking Sites. Cyberpsychology, Behavior, and Social Networking,
17(3), pp.160-165.
Liu, J.S., Ho, M.H.C. and Lu, L.Y., 2017. Recent themes in social networking service
research. PloS one, 12(1), p.e0170293.
Ryu, S. (2010). More Networking? Or Successful Networking? Exploring a Better
Networking Measure. SSRN Electronic Journal.