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Novel Epistemic and Predictive Heuristic for Semantic and Dynamic Social Networks Analysis

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DOI: 10.4236/sn.2014.33021    3,370 Downloads   4,657 Views  

ABSTRACT

Using Kripke semantics, we have identified and reduced an epistemic incompleteness in the metaphor commonly employed in Social Networks Analysis (SNA), which basically compares information flows with current flows in advanced centrality measures. Our theoretical approach defines a new paradigm for the semantic and dynamic analysis of social networks including shared content. Based on our theoretical findings, we define a semantic and predictive model of dynamic SNA for Enterprises Social Networks (ESN), and experiment it on a real dataset.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Thovex, C. and Trichet, F. (2014) Novel Epistemic and Predictive Heuristic for Semantic and Dynamic Social Networks Analysis. Social Networking, 3, 159-172. doi: 10.4236/sn.2014.33021.

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