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A new approach to role and position detection in networks

Authors :
Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
Universitat Politècnica de Catalunya. CNDS - Xarxes de Computadors i Sistemes Distribuïts
Vega d'Aurelio, Davide
Magnani, Matteo
Montesi, Danilo
Meseguer Pallarès, Roc
Freitag, Fèlix
Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
Universitat Politècnica de Catalunya. CNDS - Xarxes de Computadors i Sistemes Distribuïts
Vega d'Aurelio, Davide
Magnani, Matteo
Montesi, Danilo
Meseguer Pallarès, Roc
Freitag, Fèlix
Publication Year :
2016

Abstract

The final publication is available at Springer via http://dx.doi.org/10.1007/s13278-016-0346-9.<br />We rethink and extend the concepts of position and role in a network, basing them on various well-known measures that were not previously associated with these concepts, such as geodesic distance and modularity. The effectiveness of our new role and position detection algorithms is evaluated both qualitatively and quantitatively, on synthetic and real data, showing that we can identify new types of meaningful patterns in networks.<br />Peer Reviewed<br />Postprint (published version)

Details

Database :
OAIster
Notes :
23 p., application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.ocn978329764
Document Type :
Electronic Resource