Networks measurement is essential to catch and quantify their features, behaviour and/or emerging phenomena. The goal of cohesiveness metric introduced here is to establish the level of cohesion among network nodes. It comes from the Black-Hole metric introduced as a solution of the normalization problem that affects PageRank; in particular, here we present an extension that leverages a set of black hole nodes to assess intra- and inter-group cohesion in partitioned networks. We carried out the evaluation in several real-world networks, also considering temporal dynamics and group size.

Group Cohesion Assessment in Networks

Carchiolo V.;Grassia M.;Longheu A.;Malgeri M.;Mangioni G.
2020-01-01

Abstract

Networks measurement is essential to catch and quantify their features, behaviour and/or emerging phenomena. The goal of cohesiveness metric introduced here is to establish the level of cohesion among network nodes. It comes from the Black-Hole metric introduced as a solution of the normalization problem that affects PageRank; in particular, here we present an extension that leverages a set of black hole nodes to assess intra- and inter-group cohesion in partitioned networks. We carried out the evaluation in several real-world networks, also considering temporal dynamics and group size.
2020
978-3-030-40942-5
978-3-030-40943-2
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/398218
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact