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

  • 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