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

• 作者: Christophe Thovex Francky Trichet
• 来源期刊: 社交网络(英文)
• 学科: 医学
• 关键词: Graph ANALYSIS INTERDISCIPLINARY MODAL Logic SEMANTICS Social Networks
• 年，卷（期）: 2014,（3）
• 页码范围: 159-172
• 页数: 14页
• 分类号: R73

摘要

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.