An Epistemic Equivalence for Predictive Social Networks Analysis

摘要: The paper presents a semantic and dynamic model providing predictive recommendations trend predictions, based on the analysis of social networks media. It introduces significant completion interdisciplinary paradigm analogy information flows current, commonly used in analysis. defines graph structure entailing knowledge engineering, which contributes to clustering classification Social Web participates natural laws electro-physics. These multidisciplinary contributions are applied team performance climate optimization, within collaborative organizations (patented model). Outcomes presented line with Socioprise project, funded by French State Secretariat at prospective development digital economy.