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Analysis of overlapping communities in signed complex networks; this paper compares three overlapping community detection algorithms in networks with both positive and negative connections.
The research proposes a conceptual model for designing a people-finding system in a learning environment. The system is intended to help learner in getting recommendation about suitable people who are interested on a similar topic and share common interest with the learner. We propose that by using the user-generated (text) content, social-bookmarking and social-tagging, driven by Web 2.0 paradigms, we can implicitly profile people and find people’s interests on a given topic. We also like to use their existing social connections as an evidence to select suitable people in recommending a learner.
Analysis of Overlapping Communities in Signed Complex NetworksMohsen Shahriari
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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
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To have the ability to “think outside the box” is generally regarded as something positive. At a moment in time when resources are scarce, and the problems facing us are many, innovation and professional excellence becomes a requirement, rather than a matter of choice. At the core of our attempts to come up with new, and better solutions are the digital technologies. Within the structural engineering context, the different types of off-the-shelf packages for finite element analysis play a central role. These “black-box” types of software packages exemplify how user-friendliness may have harmful consequences within a field where knowledge and the successful mastery of relevant skills is key, and consequently- ignorance may lead to fatal results. These tools make any effort “venturing outside” difficult to achieve. A technical paradigm shift is called for- that places learning and creative, informed exploration at the heart of the user experience. Presented during the Knowledge Based Engineering session of the 19th IABSE congress entitled "Challenges in Design and Construction of an Innovative and Sustainable Built Environment" held in Stockholm, September 21-23, 2016.
In this presentation, originally given at Syracuse University, I discuss three meanings of "network" used in social science and humanities research. These meanings imply different methodological assumptions. I compare them, discuss how they lead to different insights, and suggest how to cautiously use them together.
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This is a presentation I gave in a workshop on "Language, concepts, history" organized by historian Joanna Innes. It took place on Friday 4/22/16 in Somerville College, Oxford.
I was one of the only people present who was not from the humanities, so it was a rather different-than-usual audience and set of participants for me.
I drew some of these slides from other presentations to rather different audiences. I emphasized rather different parts of some of those slides, so I am not sure if the slides on their own give an accurate reflection of the difference between this presentation and some of my other ones.
I thought the presentation went rather well.
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
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
Is the LogFrame is the right tool for managing most NGO work?rick davies
Presentation made by Rick Davies at the Debate on LogFrames organised by the BOND Quality Group, 2-5.30pm 11th June 2009, NCVO offices, N1 9RL, London. See more background on this event at http://mande.co.uk/2009/coming-events/workshops/bond-quality-group-%e2%80%93-debate-on-logframes/
To have the ability to “think outside the box” is generally regarded as something positive. At a moment in time when resources are scarce, and the problems facing us are many, innovation and professional excellence becomes a requirement, rather than a matter of choice. At the core of our attempts to come up with new, and better solutions are the digital technologies. Within the structural engineering context, the different types of off-the-shelf packages for finite element analysis play a central role. These “black-box” types of software packages exemplify how user-friendliness may have harmful consequences within a field where knowledge and the successful mastery of relevant skills is key, and consequently- ignorance may lead to fatal results. These tools make any effort “venturing outside” difficult to achieve. A technical paradigm shift is called for- that places learning and creative, informed exploration at the heart of the user experience. Presented during the Knowledge Based Engineering session of the 19th IABSE congress entitled "Challenges in Design and Construction of an Innovative and Sustainable Built Environment" held in Stockholm, September 21-23, 2016.
In this presentation, originally given at Syracuse University, I discuss three meanings of "network" used in social science and humanities research. These meanings imply different methodological assumptions. I compare them, discuss how they lead to different insights, and suggest how to cautiously use them together.
Filtered wall is a system to filter undesired messages from OSN walls.
This system approach decides when user should be inserted into a black list.
Filtered wall has a wide variety of applications in OSN wall
This is a presentation I gave in a workshop on "Language, concepts, history" organized by historian Joanna Innes. It took place on Friday 4/22/16 in Somerville College, Oxford.
I was one of the only people present who was not from the humanities, so it was a rather different-than-usual audience and set of participants for me.
I drew some of these slides from other presentations to rather different audiences. I emphasized rather different parts of some of those slides, so I am not sure if the slides on their own give an accurate reflection of the difference between this presentation and some of my other ones.
I thought the presentation went rather well.
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
Incremental Community Mining in Location-based Social NetworkIJAEMSJORNAL
A social network can be defined as a set of social entities connected by a set of social relations. These relations often change and differ in time. Thus, the fundamental structure of these networks is dynamic and increasingly developing. Investigating how the structure of these networks evolves over the observation time affords visions into their evolution structure, elements that initiate the changes, and finally foresee the future structure of these networks. One of the most relevant properties of networks is their community structure – set of vertices highly connected between each other and loosely connected with the rest of the network. Subsequently networks are dynamic, their underlying community structure changes over time as well, i.e they have social entities that appear and disappear which make their communities shrinking and growing over time. The goal of this paper is to study community detection in dynamic social network in the context of location-based social network. In this respect, we extend the static Louvain method to incrementally detect communities in a dynamic scenario following the direct method and considering both overlapping and non-overlapping setting. Finally, extensive experiments on real datasets and comparison with two previous methods demonstrate the effectiveness and potential of our suggested method.
2015 03 19 (EDUCON2015) eMadrid UPM Towards a Learning Analytics Approach for...eMadrid network
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A disaster is a natural or man-made hazard resulting to physical damage or destruction, loss of life, or drastic change to the natural environment
Disaster Risk Management is a broad range of activities (as opposed to disaster management) designed to prevent the loss of lives, minimize human suffering, inform the public and authorities of risk, minimize property damage and economic loss, and speed up the recovery process
The primary objective of this research is to develop a self-organizing communication model for disaster risk management. The model should be able to provide improved communication services between individuals (or groups) during disasters. The model should be able to offer reduced latency, interruptions, and failures in communication
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Spark can leverage existing distributed files systems (like HDFS), a distributed data base (like HBase), traditional databases through its JDBC or ODBC adaptors, and flat files in local file systems or on a file store like S3 in Amazon cloud.
Hadoop MapReduce framework is similar to Spark in that it uses master slave-like paradigm. It has one Master node (which consists of a job tracker, name node, and RAM) and Worker Nodes (each worker node consists of a task tracker, data node, and a RAM). The task tracker in a worker node is analogues to an executor in Spark environment.
NetworkX is a Python language software package and an open-source tool for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. NetworkX can load, store and analyze networks, generate new networks, build network models, and draw networks. It is a computational network modelling tool and not a software tool development. The first public release of the library, which is all based on Python, was in April 2005.
Python is a general-purpose, and multi-paradigm dynamic object oriented programming language. Python is a simple, portable, open source, and powerful programming language.
Social media is an umbrella term that defines the various activities that integrate technology, social interaction, and the construction of words, pictures, videos and audio.
Big Data is data whose scale, diversity, and complexity require new architecture, techniques, algorithms, and analytics to manage it and extract value and hidden knowledge from it…
Hadoop is an open source framework which is used for storing and processing the large scale of data sets on large clusters of hardware.
Search engines (e.g. Google.com, Yahoo.com, and Bi
ng.com) have become the dominant model of online search. Large and small e-commerce provide built-in search capability to their visitors to examine the products they have. While most large business are able to hire the
necessary skills to build advanced search engines,
small online business still lack the ability to evaluate the results of their search engines, which means losing the opportunity to compete with larger business. The purpose of this paper is to build an open-source model that can measure the relevance of search results for online businesses
as well as the accuracy of their underlined algorithms. We used data from a Kaggle.com competition in order to show our model running on real data.
unpublished work - full study can be found at researchgate.com.
https://www.researchgate.net/publication/283723818_Scientific_Theory_of_State_and_Society_Parities_and_Disparities_between_the_Philosophical_Thoughts_of_Plato_and_Al-Farabi
-----------------------------------------------------------
While Plato was born and raised in Greece from an aristocratic high-level family few hundred years before the birth of Jesus Christ, Al-Farabi, on the hand, was born in Kazakhstan in Central Asia more than a thousand years later.
In this study, therefore, an attempt would be made to examine how each of the two great scholars imagined his own society through their respective books “The Republic” for Plato and “Opinions of the People of the Ideal City for Al-Farabi.
The Islamic nation is unique, different from other nations and believes on existing based on four basic pillars: Rabania (Law of Allah), Wahda (unity of Muslims), Wasatiyyah (balanced in thinking) and Da’wah (invitation to Allah/Islam).
Certain modalities (such as text, graphs, tables, and images) can better present recommendations and explanations to users. The focus of this study is the visualization of explanations in recommender systems. The study falls in the area of controlling the recommendation process which gained little attention so far.
Recommender systems are software tools that supply users with suggestions for items to buy. However, it was found that many recommender systems functioned as black boxes and did not provide transparency or any information on how their internal parts work. Therefore, explanations were used to show why a specific recommendation was provided. The importance of explanations has been approved in a number of fields such as expert systems, decision support systems, intelligent tutoring systems and data explanation systems. It was found that not generating a suitable explanation might degrade the performance of recommender systems, their applicability and eventually their value for monetization. Our goal in this paper is to provide a comprehensive review on the main research fields of explanations in recommender systems along with suitable examples from literature. Open challenges in the field are also manifested. The results show that most of the work in the field focus on the set of characteristics that can be associated with explanations: transparency, validity, scrutability, trust, relevance, persuasiveness, comprehensibility, effectiveness, efficiency, satisfaction and education. All of these characteristics can increase the system's trustworthiness. Other research areas include explanation interfaces, over and underestimation and decision making.
In the emerging global economy, e-commerce has increasingly become a necessary component of business strategy and a strong impulse for economic development.
One of the most significant developments in business in recent years has been the increasing use of e-commerce. It has revolutionized many marketplaces and started opportunities never imagined before.
Businesses that are not investigating the use of e-commerce are in a great danger of finding themselves being overtaken by others who are utilizing this technology.
Iraq is characterized as one of the very few countries in the world that are still so far from the real use of inevitable services of e-commerce.
Primarily, Iraq suffers from a number of features that work as barriers to an effective use of e-commerce in life such as the lack of awareness and understanding of the benefit of e-commerce, the lack of information and communication technologies (ICT) knowledge and skills, the unstable physical network infrastructure, security and other privacy-related problems in addition to problems related to costs for the adoption of a new technology.
Senior leaders of the country must be aware of these emerging, and increasingly complex environments of e-commerce in order to compete on a global (or even on a regional) level.
The purpose of this study is two-fold. First, it seeks to investigate the hindrances to e-commerce adoption in Iraq. Second, it seeks to suggest some recommendations for successful applying of e-commerce. The work begins by examining e-commerce, its advantages, its challenges and market models of e-commerce. The remainder of this paper is structured as follows: In the next section, a typical implementation of e-commerce is given, followed by the barriers to e-commerce adoption in developing countries and then barriers to its adoption in Iraq. Later, the conclusions and recommendations are presented and the paper is finalized with limitation of study and future work.
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Flight MH370 community structure
1. Flight MH370
Community
Structure*
Mohammed Z. Al-Taie1, Siti Mariyam Shamsuddin2, Nor Bahiah Ahmad3
1,2 UTM Big Data Centre
Universiti Teknologi Malaysia (UTM), e-mail: mza004@live.aul.edu.lb, mariyam@utm.my
3 Soft Computing Research Group, Faculty of Computing
Universiti Teknologi Malaysia (UTM), e-mail: bahiah@utm.my
* A study published in the International Journal of Advanced Computer Science and
Applications (IJACSA)
2. Flight MH370
• On March 8 2014, Boeing 777-200ER aircraft, operated by Malaysia
Airlines, carrying 239 people left Kuala Lumpur International Airport at
12.41am and disappeared from radar screen about 40 minutes later while
over the South China Sea.
• The passengers were from far-flung parts of the world:
– China (153), Malaysia (38), Australia (6), Indonesia (7), India (5), France (4), United
States 3 (including two toddlers), New Zealand (2), Canada (2), Ukraine (2), Russia (1),
Taiwan (1), Italy (1), Austria (1) and Holland (1).
3. Aims of the Study
• The aim of this research is to study the community structure of Flight
MH370 which will help us finding patterns that emerge from that
structure.
– This can lead to demystify some of the many ambiguous aspects of that flight.
• We also aim to analyze the mesoscopic and macroscopic features of
Flight MH370 community structure (such as network density, dimension,
average degree etc.) using social network analysis.
4. Community Structure
• Community structure (also called clustering) is the organization of
vertices in clusters, where many edges join vertices of the same cluster
and few edges join vertices of different clusters.
• Studying community structure has proven efficient in:
– Understanding social forms of interactions among people
– Quantitatively investigating some of the well-known social theories
– Providing useful recommendations to users in communities based on common interests
– The classification of vertices according to their structural positions in clusters
• For example, some vertices may have an important function of control and stability within the community
while others may play an important role of leading relationships and exchanges between different
communities.
5. Community Structure-Paradigms
• From the computer science perspective, the problem is addressed by
dividing the nodes of a network into a number of groups while minimizing
the number of edges between different groups.
– Many algorithms stand here such as: the Spectral Bisection Algorithm and the
Kernighan-Lin Algorithm. Other popular methods for graph partitioning include the
geometric algorithm, level-structure partitioning and multilevel algorithms.
• Social sciences have adopted a different approach to finding communities
which is by the use of Hierarchical Clustering based on developing a
measure of similarity between pairs of vertices.
• More recent approaches for community detection include dividing
networks by iterative removal of edges, the Modularity Maximization
Algorithm and the Resister Network Algorithm.
6. Study Methodology
1. Pajek, a program that generates a series of social networks to represent
the different network communities.
– Community detection in this software is based on the Multi-Level Coarsening and
Multi-Level Refinement algorithm which uses Modularity for graph clustering.
1. Modularity: This technique consists of two steps: the first one: ‘Divisive’
which incorporates iteratively removing edges from the network and
thus breaking it into communities, and the second step: ‘Recalculation’
where betweenness scores are re-evaluated after the removal of every
edge.
2. Social network analysis (SNA), which is a research approach that studies
the structures of social networks and the relationships among its
members, is used to analyze the mesoscopic and macroscopic features
of MH370 community.
7. SNA metrics fall into two types: some provide information about the
individuals themselves and how they interact, and some provide information
about the global structure of the social network:
– Actors: network members that could be individuals, organizations, events etc.
– Tie: a link that connects two or more nodes in a graph.
– Component: it is a segment of a network where actors are connected to each other
either directly or indirectly.
– Isolate: A separate component is called ‘isolate‘.
– Density: the total number of relational ties divided by the possible total number of ties.
– Reachability: it measures how reachable an actor is to the rest of actors in a network.
– Cohesion: the extent to which two actors are directly connected, by cohesive bonds, to
each other.
SNA Metrics
8. Dataset
• Our dataset has been collected during March and April of 2014 from
online sources (such as YAHOO! News Malaysia, CNN.com, the Economic
Times, The New Indian Express, India Today and the Daily Express).
• Information gathering was applied by surfing hundreds of webpages that
addressed Flight MH370 from when it was announced missing until late of
April when the international efforts aiming to find the wreckage of the
missing plane declined.
• The data are in .xls format and can be downloaded from the first author’s
website (http://www.themesopotamian.com). The data represent the
known relationships of people before joining the flight.
10. Flight MH370 Community Structure
Metric Value
Graph Type Undirected
Number of vertices
241
(Dimension)
No. of edges 1563
No. of Loops 5
Network Density 0.05373530
Average Degree 12.97095436
Connected
Components
1
Single-Vertex
Connected
Components
0
Maximum Vertices in
a Connected
Component
241
longest shortest path Between
nodes 11 and
194
11. Artists Group Community Structure
Metric Value
Number of vertices
(Dimension)
30
No. of edges 841
No. of Loops 0
Network Density 1.86888889
Average Degree 56.06666667
Connected
Components
1
12. Freescale Semiconductor Community
Structure
Metric Value
Number of
vertices
(Dimension)
16
No. of edges 225
No. of Loops 1
Network Density 1.75390625
Average Degree 28.12500000
Connected
Components
1
13. Aircraft-Crew Community Structure
Metric Value
Number of vertices
(Dimension)
13
No. of edges 142
No. of Loops 0
Network Density 1.68047337
Average Degree 21.84615385
Connected Components 1
14. Conclusions
• Our findings show that there were three larger community structures
onboard: the Artists Group, the Freescale Semiconductor group, and the
Aircraft Crew group.
– Other smaller groups include six-people and five-people families from China, four-people
family from Malaysia, a French family, an Australian family and others.
• The analysis gives us 8 nodes (two pilots, five toddlers and one disabled
elderly woman) that are not directly connected to the flight network.
• We also can see the significance of Weak Ties which connect communities
that are otherwise become unreachable.
• Moreover, not only the smaller communities of Flight 370 show high
connectivity, but also the larger communities.
• The findings of this study reflect the nature of air travels and can be
further applied to similar cases.
15. Study Challenges
• The biggest issue that we encountered in this study was the lack of
information available and sometimes the disagreement between different
sources which makes it difficult for us to make a choice
– At the time of writing, we were missing the profiles of 40 passengers.
• We gathered our information with the help of online sources
(governmental websites, newspapers and blogs). It’s beyond dispute that
the credibility of online sources is becoming more and more of an issue
and their status as accurate sources is not fully established.