A Multidisciplinary Model of Dynamic and Semantic Social Networks Analysis for Institutions

Author

Thovex, Christophe ; Trichet, Francky

Author_Institution

Lab. d´´Inf. de Nantes Atlantique, Univ. of Nantes, Nantes, France

fYear

2010

fDate

9-11 Aug. 2010

Firstpage

397

Lastpage

399

Abstract

Social networks of the Web 2.0 have become global (e.g. FaceBook, MSN). In 1977, L. C. FREEMAN published the first generic 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. Our work is based on the definition of new multidimensional measures in SNA for new decision-making functions in Human Resource Management (HRM). The presented contributions makes it original. They are: (1) a measure of tension of a social network, (2) an electrodynamic and predictive system for semantic recommendations on social graphs evolutions and (3) a measure of reactance of a social network used to evaluate the individual stress of its members.

Keywords

data mining; decision making; human resource management; semantic Web; social networking (online); SNA model; Web 2.0; decision making function; electrodynamic system; enterprise conceptual aspect; human resource management; predictive system; semantic recommendation; semantic social networks analysis; social graph; static graph mining model; Analytical models; Biological system modeling; Electrodynamics; Ontologies; Predictive models; Semantics; Social network services; Social Networks Analysis (SNA); dynamic analysis; electrodynamic; ontologies; semantic analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Social Networks Analysis and Mining (ASONAM), 2010 International Conference on

Conference_Location

Odense

Print_ISBN

978-1-4244-7787-6

Electronic_ISBN

978-0-7695-4138-9

Type

conf

DOI

10.1109/ASONAM.2010.86

Filename

5563076