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Social Network Analysis in Enterprise

Proceedings of the IEEE, 2012
Social network analysis (SNA) has been a research focus in multiple disciplines for decades, including sociology, healthcare, business management, etc. Traditional SNA researches concern more human and social science aspects—trying to undermine the real relationship of people and the impacts of these relationships.
Ching-Yung Lin   +6 more
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Social Network Analysis

2014
Abstract This chapter illustrates social network analysis (SNA), offering empirical examples of how to apply this method in social movement research. The introduction gives an overview of the theoretical background of SNA, discussing the main characteristics, as well as the advantages and challenges of this approach.
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Social language network analysis

Proceedings of the 2010 ACM conference on Computer supported cooperative work, 2010
In this note we introduce a new methodology that combines tools from social language processing and network analysis to identify socially situated relationships between individuals, even when these relationships are latent or unrecognized. We call this approach social language network analysis (SLNA).
Andrew J. Scholand   +2 more
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An Analysis of Security in Social Networks

2009 Eighth IEEE International Conference on Dependable, Autonomic and Secure Computing, 2009
The threats to Internet have been also posed to the social networking sites. In social networks people tend to reduce the original alert and this makes it easier for malware to spread. In this paper we study the threats to social networks in recent years and analyze the targets what the attackers want and the methods how attackers perform the attacks ...
Weimin Luo   +3 more
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Strategic Social Network Analysis

Proceedings of the AAAI Conference on Artificial Intelligence, 2017
How can individuals and communities protect their privacy against social network analysis tools? How do criminals or terrorists organizations evade detection by such tools? Under which conditions can these tools be made strategy proof? These fundamental questions have attracted little attention in the literature to date, as most social ...
Tomasz P. Michalak   +2 more
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Analysis of an investment social network

2012 IEEE International Conference on Communications (ICC), 2012
Much research has been done in the last several years on social network dynamics as online social networks have become ubiquitous. While networks like Facebook and LinkedIn have given the research world access to data on large-scale, general human social interaction in an online environment, there are a growing number of smaller-scale social networks ...
Alex Dusenbery   +2 more
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Software for Social Network Analysis

2005
Introduction This chapter reviews software for the analysis of social networks. Both commercial and freely available packages are considered. Based on the software page on the INSNA website (http://www.insna.org/INSNA/soft inf.html), and using the main topics in the book on network analysis by Wasserman and Faust (1994), which we regard as the ...
Huisman, Mark, van Duijn, M.A.J.
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Social persona preference analysis on social networks

2015 International Conference on Connected Vehicles and Expo (ICCVE), 2015
In the age of information network explosion, users can be connected to various forms of social networking sites whenever and wherever through the Internet, And through the social networking platform to interact with people. Through the media in this way, people know each other's interests and preferences by the relationship between social friends, but ...
Cheng-Hung Tsai   +4 more
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Strengthening social networks analysis by networks fusion

Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2019
The relationship extraction and fusion of networks are the hotspots of current research in social network mining. Most previous work is based on single-source data. However, the relationships portrayed by single-source data are not sufficient to characterize the relationships of the real world.
Feiyu Long   +3 more
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Multiobjective Blockmodeling for Social Network Analysis

Psychometrika, 2013
To date, most methods for direct blockmodeling of social network data have focused on the optimization of a single objective function. However, there are a variety of social network applications where it is advantageous to consider two or more objectives simultaneously.
Brusco, Michael   +3 more
openaire   +3 more sources

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