Detecting global bridges in networks

Abstract : The identification of nodes occupying important positions in a network structure is crucial for the understanding of the associated real-world system. Usually, betweenness centrality is used to evaluate a node capacity to connect different graph regions. However, we argue here that this measure is not adapted for that task, as it gives equal weight to “local” centers (i.e. nodes of high degree central to a single region) and to “global” bridges, which connect different communities. This distinction is important as the roles of such nodes are different in terms of the local and global organisation of the network structure. In this paper we propose a decomposition of betweenness centrality into two terms, one highlighting the local contributions and the other the global ones. We call the latter bridgeness centrality and show that it is capable to specifically spot out global bridges. In addition, we introduce an effective algorithmic implementation of this measure and demonstrate its capability to identify global bridges in air transportation and scientific collaboration networks
Document type :
Journal articles
Complete list of metadatas

Cited literature [31 references]  Display  Hide  Download

https://hal.inria.fr/hal-01206166
Contributor : Matteo Morini <>
Submitted on : Thursday, October 1, 2015 - 1:31:15 PM
Last modification on : Monday, June 17, 2019 - 6:26:11 PM
Long-term archiving on : Saturday, January 2, 2016 - 10:13:41 AM

Files

Jensen_MS.pdf
Files produced by the author(s)

Licence


Copyright

Identifiers

Relations

Citation

Pablo Jensen, Matteo Morini, Márton Karsai, Tommaso Venturini, Alessandro Vespignani, et al.. Detecting global bridges in networks. Journal of Complex Networks, Oxford, 2015, ⟨10.1093/comnet/cnv022⟩. ⟨hal-01206166⟩

Share

Metrics

Record views

564

Files downloads

1538