Statistical mechanics approach for collaborative business social network reconstruction
Abstract
The role of human resources has become a key factor for the success of an organization. Based on a research collaboration with an aeronautical company, the paper compares two different approaches for the reconstruction of a collaborative social network in the business realm. Traditional social network analysis and novel statistical inference models were both evaluated against data provided by the company, with the final scope of scouting key employees in the network, as well as exploiting the knowledge-transfer processes. As a main outcome of this paper, it was found how the network reconstruction using statistical models has an increased robustness, as well as sensitivity, allowing to discover hidden correlations among the users.
Autore Pugliese
Tutti gli autori
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Corallo A. , Bisconti C.G. , Fortunato L. , Gentile A. A. , Pellè P.
Titolo volume/Rivista
SOCIAL NETWORK ANALYSIS AND MINING
Anno di pubblicazione
2016
ISSN
1869-5450
ISBN
Non Disponibile
Numero di citazioni Wos
Nessuna citazione
Ultimo Aggiornamento Citazioni
Non Disponibile
Numero di citazioni Scopus
Non Disponibile
0
Ultimo Aggiornamento Citazioni
28/04/2018
Settori ERC
Non Disponibile
Codici ASJC
Non Disponibile
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