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A new approach to role and position detection in networks
| 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.contributor.other | Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors |
| dc.date.accessioned | 2017-02-06T11:49:41Z |
| dc.date.available | 2017-06-01T00:30:16Z |
| dc.date.issued | 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.issn | 1869-5469 |
| dc.identifier.uri | http://hdl.handle.net/2117/100586 |
| dc.description | 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.format.extent | 23 p. |
| dc.language.iso | eng |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
| dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació |
| dc.subject.lcsh | Algorithm design and analysis |
| dc.subject.other | Blockmodeling |
| dc.subject.other | Positions vs. roles |
| dc.subject.other | Communities |
| dc.subject.other | Betweenness |
| dc.subject.other | Shortest paths |
| dc.subject.other | Approximation |
| dc.title | A new approach to role and position detection in networks |
| dc.type | Article |
| dc.subject.lemac | Sistemes experts (Informàtica) |
| dc.contributor.group | Universitat Politècnica de Catalunya. CNDS - Xarxes de Computadors i Sistemes Distribuïts |
| dc.identifier.doi | 10.1007/s13278-016-0346-9 |
| dc.description.peerreviewed | Peer Reviewed |
| dc.relation.publisherversion | http://link.springer.com/article/10.1007%2Fs13278-016-0346-9 |
| dc.rights.access | Open Access |
| local.identifier.drac | 18771532 |
| dc.description.version | Postprint (published version) |
| local.citation.author | Vega, D.; Magnani, M.; Montesi, D.; Meseguer, R.; Freitag, F. |
| local.citation.publicationName | Social Network Analysis and Mining |
| local.citation.volume | 6 |
| local.citation.number | 39 |
| local.citation.startingPage | 1 |
| local.citation.endingPage | 23 |
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