Titlebook: Social Networking; Mining, Visualizatio Mrutyunjaya Panda,Satchidananda Dehuri,Gi-Nam Wang Book 2014 Springer International Publishing Swit

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Social Network Analysis: A Methodology for Studying Terrorism,ol for understanding the underlying pattern /dynamics of terrorism and terrorist networks. SNA is particularly suitable for analyzing terrorist networks as it takes relationships into account rather than merely attributes, which are difficult to obtain for covert networks. Using graph theoretic meth

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Privacy and Anonymization in Social Networks,less details about their lives online. This personal information can be used by attackers to perpetrate significant privacy breaches and carry out attacks such as identity theft and credit card fraud. The privacy concerns arise from not just the users posting their personal information online, but a

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Methods of Tracking Online Community in Social Network,bers of online communities sharing information using relationships among them. In this paper a state of the art survey of the works done on community tracking in social network. The main goal is to provide a road map for researchers working on different measures for tracking communities in Social Network.

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Diffusion of Information in Social Networks,he spread of mis-information through a social network is also discussed. We then discuss the inverse problem of discovering the source of any given piece of information. Both single and multi-source problems are considered.

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Testing Community Detection Algorithms: A Closer Look at Datasets,p in designing good community detection methods. This chapter presents testing strategies for community detection approaches and explores a number of datasets that could be used in the testing process as well as stating some characteristics of those datasets.

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On the Use of Brokerage Approach to Discover Influencing Nodes in Terrorist Networks,n coordinate to fulfill their awful deeds. The brokerage on whole estimates the influential roles as it would be done by individually calculating the centrality measures, with much more useful information aiding to amend terrorist network analysis.

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