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Titlebook: Social Computing, Behavioral Modeling, and Prediction; Huan Liu,John J. Salerno,Michael J. Young Conference proceedings 2008 Springer-Verl

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Behavioral Entropy of a Cellular Phone User,ling behavior on various parameters and interesting relationship between randomness levels in individual’s life and calling pattern using correlation coeffi- cients and factor analysis. This study extends our understanding of cellular phone user behavior and characterizes cellular phone users in forms of randomness level.
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Community Detection in a Large Real-World Social Network,eights; more specifically, we leverage the node attributes to compute better weights. Our experimental results on a real-world social network show that a simple thresholding method with edge weights based on node attributes is sufficient to identify a very strong community structure.
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Rational Choice Theory: A Forum for Exchange of Ideas between the Hard and Social Sciences in Predi an opportunity to contribute solutions to known weaknesses in the conventional version of rational choice. This in turn will invigorate the dialogue between social scientists and hard scientists studying social phenomena.
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Particle Swarm Social Model for Group Social Learning in Adaptive Environment,rticle swarm metaphor as a model of social learning for a dynamic environment. The research provides a platform for understanding and insights into knowledge discovery and strategic search in human self-organized social groups, such as human communities.
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Rational Choice Theory: A Forum for Exchange of Ideas between the Hard and Social Sciences in Prediciences. Surprisingly, despite its origins in the work of eminent mathematicians and computer scientists and its current prominence in the social sciences, there has been relatively little interest among hard scientists in incorporating rational choice assumptions into their agent-based analysis of
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The SOMA Terror Organization Portal (STOP): social network and analytic tools for the real-time anac-political-military organizations worldwide. In this paper, we describe the SOMA Terror Organization Portal (STOP). STOP provides a single point of contact through which analysts may access data about terror groups world wide. In order to analyze this data, SOMA provides three major components: the
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