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Two Informational Complexity Measures in Social Networks and Agent Communities

Two Informational Complexity Measures in Social Networks and Agent Communities

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Author(s): António Jorge Filipe Fonseca (ISCTE, Portugal)
Copyright: 2010
Pages: 9
Source title: Social Computing: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Subhasish Dasgupta (George Washington University, USA)
DOI: 10.4018/978-1-60566-984-7.ch126

Keywords: Information Science Reference / Media & Communications / Social Computing / Social Networking

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Abstract

Several informational complexity measures rely on the notion of stochastic process in order to extract hidden structural properties behind the apparent randomness of information sources. Following an equivalence approach between dynamic relation evolution within a social network and a generic stochastic process two dynamic measures of network complexity are proposed.

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