Valeur informative supplémentaire apportée par l'analyse des réseaux sociaux

Jean-Michel Balasque () and Vincent Labatut ()
Additional contact information
Jean-Michel Balasque: GSU - Galatasaray University
Vincent Labatut: GSU - Galatasaray University

Working Papers from HAL

Abstract: Social networks analysis is particularly promising from a theoretical point of view, but it is also very difficult to set up, which restricts its practical use. Consequently, people sometimes try to limit group analysis to cluster study only. On the contrary, our approach consists in comparing information extracted using both approaches. We first perform a cluster analysis based on attributes of individuals belonging to a given group, and we then analyze the structure of the social network underlying the same group. A study was conducted among students in the Galatasaray University in Istanbul, Turkey, to gather data. After having applied our method, we find strong complementarities of the information revealed by each kind of analysis in terms of depth and managerial implications.

Keywords: Social Networks; Cluster analysis; Community Detection; Structural Centrality; Réseaux sociaux; Analyse typologique; Détection de communautés; Centralité structurelle (search for similar items in EconPapers)
Date: 2010-02-03
Note: View the original document on HAL open archive server: https://hal.science/hal-01863315
References: Add references at CitEc
Citations:

Published in [Rapport de recherche] TR200912031, Université Galatasaray. 2010

Downloads: (external link)
https://hal.science/hal-01863315/document (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:wpaper:hal-01863315

Access Statistics for this paper

More papers in Working Papers from HAL
Bibliographic data for series maintained by CCSD ().