This paper describes an interdisciplinary study aimed at analyzing leadership in less formal collaboration environments, such as enterprise social networks (ESNs). To conduct our research, we defined a measure of network leadership which draws on organization theory and on a computational model based on multiplex networks. This model, along with a social network analysis toolkit developed in the context of the present study, enabled the systematic empirical analysis of a large ESN, as a function of gender, time, roles, and discussed topics.

Detecting Network Leaders in Enterprises / DI TOMMASO, Giorgia; Stilo, Giovanni; Velardi, Paola. - STAMPA. - (2017), pp. 275-280. ((Intervento presentato al convegno IEEE 21st Int. Conf. On Computer Supported Collaborative Work (IEEE CSCWD 2017) tenutosi a Wellington, New Zeland [10.1109/CSCWD.2017.8066707].

Detecting Network Leaders in Enterprises

DI TOMMASO, GIORGIA;STILO, GIOVANNI;VELARDI, Paola
2017

Abstract

This paper describes an interdisciplinary study aimed at analyzing leadership in less formal collaboration environments, such as enterprise social networks (ESNs). To conduct our research, we defined a measure of network leadership which draws on organization theory and on a computational model based on multiplex networks. This model, along with a social network analysis toolkit developed in the context of the present study, enabled the systematic empirical analysis of a large ESN, as a function of gender, time, roles, and discussed topics.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11573/959735
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