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


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.

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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.

Conflicts of Interest

The authors declare no conflicts of interest.


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