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.File | Dimensione | Formato | |
---|---|---|---|
DiTommaso_Network-leaders_2017.pdf
solo gestori archivio
Tipologia:
Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
510.09 kB
Formato
Adobe PDF
|
510.09 kB | Adobe PDF | Contatta l'autore |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.