A new approach to role and position detection in networks

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dc.contributor	Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.contributor	Universitat Politècnica de Catalunya. CNDS - Xarxes de Computadors i Sistemes Distribuïts
dc.contributor.author	Vega d'Aurelio, Davide
dc.contributor.author	Magnani, Matteo
dc.contributor.author	Montesi, Danilo
dc.contributor.author	Meseguer Pallarès, Roc
dc.contributor.author	Freitag, Fèlix
dc.date	2016-06
dc.identifier.citation	Vega, D., Magnani, M., Montesi, D., Meseguer, R., Freitag, F. A new approach to role and position detection in networks. "Social Network Analysis and Mining", Juny 2016, vol. 6, núm. 39, p. 1-23.
dc.identifier.citation	1869-5469
dc.identifier.citation	10.1007/s13278-016-0346-9
dc.identifier.uri	http://hdl.handle.net/2117/100586
dc.language.iso	eng
dc.relation	http://link.springer.com/article/10.1007%2Fs13278-016-0346-9
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject	Algorithm design and analysis
dc.subject	Blockmodeling
dc.subject	Positions vs. roles
dc.subject	Communities
dc.subject	Betweenness
dc.subject	Shortest paths
dc.subject	Approximation
dc.subject	Sistemes experts (Informàtica)
dc.title	A new approach to role and position detection in networks
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/article
dc.description.abstract	The final publication is available at Springer via http://dx.doi.org/10.1007/s13278-016-0346-9.
dc.description.abstract	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.
dc.description.abstract	Peer Reviewed

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