Mika, P. (2005) Ontologies Are Us: A Unified Model of Social Networks and Semantics. International Semantic Web Conference, Volume 3729 of Lecture Notes in Computer Science, 522-536. International Semantic Web Conference 2005, Springer.

has been cited by the following article:

• TITLE: Novel Epistemic and Predictive Heuristic for Semantic and Dynamic Social Networks Analysis

  AUTHORS: Christophe Thovex, Francky Trichet

  KEYWORDS: Graph, Analysis, Interdisciplinary, Modal, Logic, Semantics, Social, Networks

  JOURNAL NAME: Social Networking, Vol.3 No.3, April 23, 2014

  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.