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Dynamic and semantic social networks analysis: a new model based on a multidisciplinary approach.

机译:动态和语义社交网络分析:基于多学科方法的新模型。

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In 1977, L. C. FREEMAN published new metrics for Social Networks Analysis (SNA), mainly based on static graph-mining models. The objective of our work is to introduce new dynamic SNA models dedicated to SNA and to take the conceptual aspects of enterprises and institutions social graph into account. These conceptual aspects are embedded in trades oriented ontologies extracted from the endogenous information, connate to the studied social networks. The originality of our work is based on the definition of new multidimensional measures in SNA for new decision-making functions in Human Resource Management (HRM). Defined in the context of a new multidisciplinary approach (mainly physics and cognitive sciences), the contributions presented in this paper are: (1) a measure of tension of a social network, (2) an electrodynamic and predictive system for semantic recommendations about social graphs evolutions and (3) a measure of reactance of a social network used to evaluate the individual stress of its members.
机译:1977年,L.C.Freeman发布了社交网络分析(SNA)的新指标,主要基于静态图形挖掘模型。我们的工作目标是引入致力于SNA的新动态SNA模型,并考虑企业和机构的概念方面。这些概念性方面嵌入到从内源信息中提取的导向性本体的交易,对学习的社交网络。我们工作的原创性是基于SNA中新的多维措施的定义,以便在人力资源管理(HRM)中的新决策功能。在新的多学科方法(主要是物理和认知科学)的背景下定义,本文提出的贡献是:(1)社交网络张力的衡量标准,(2)用于社交的语义建议的电动和预测系统图表演变和(3)用于评估其成员个人压力的社交网络的电抗的衡量标准。

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