RECAST: Telling Apart Social and Random Relationships in Dynamic Networks (Contributo in atti di convegno)

Type

• Contributo in atti di convegno (Classe)
• Prodotto della ricerca (Classe)

Label

• RECAST: Telling Apart Social and Random Relationships in Dynamic Networks (Contributo in atti di convegno) (literal)

Anno

• 2013-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1145/2507924.2507950 (literal)

Alternative label

• P. Vaz de Melo, A. Viana, M. Fiore, K. Jaffrès-Runser, F. Le Mouel, A. Loureiro (2013)
  RECAST: Telling Apart Social and Random Relationships in Dynamic Networks
  in ACM/IEEE MSWiM, Bacelona, Spain, November 2013
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• P. Vaz de Melo, A. Viana, M. Fiore, K. Jaffrès-Runser, F. Le Mouel, A. Loureiro (literal)

Pagina inizio

• 327 (literal)

Pagina fine

• 334 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

• 8 (literal)

Note

• ACM DL (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• Universidade Federal de Minas Gerais, Brazil; INRIA, France; IEIIT-CNR, Italy; University of Toulouse, IRIT, France; INSA Lyon, France; Universidade Federal de Minas Gerais, Brazil (literal)

Titolo

• RECAST: Telling Apart Social and Random Relationships in Dynamic Networks (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn

• 978-1-4503-2353-6 (literal)

Abstract

• In this paper, we argue that the ability to accurately spot random and social relationships in dynamic networks is essential to network applications that rely on human routines, such as, e.g., opportunistic routing. We thus propose a strategy to analyze users' interactions in mobile networks where users act according to their interests and activity dynamics. Our strategy, named Random rElationship ClASsifier sTrategy (RECAST), allows classifying users' wireless interactions, separating random interactions from different kinds of social ties. To that end, RECAST observes how the real system differs from an equivalent one where entities' decisions are completely random. We evaluate the effectiveness of the RECAST classification on real-world user contact datasets collected in diverse networking contexts. Our analysis unveils significant differences among the dynamics of users' wireless interactions in the datasets, which we leverage to unveil the impact of social ties on opportunistic routing. (literal)

Prodotto di

• Reti wireless per il monitoraggio ambientale e info-mobilità (ICT.P07.006.001) (Modulo)
• Institute of Electronics, Computer and Telecommunication Engineering (IEIIT) (Istituto)

Autore CNR

• MARCO FIORE (Unità di personale interno)

Incoming links:

Prodotto

• Institute of Electronics, Computer and Telecommunication Engineering (IEIIT) (Istituto)
• Reti wireless per il monitoraggio ambientale e info-mobilità (ICT.P07.006.001) (Modulo)

Autore CNR di

• MARCO FIORE (Unità di personale interno)