Detecting global bridges in networks

Pablo Jensen*, Matteo Morini, Márton Karsai, Tommaso Venturini, Alessandro Vespignani, Mathieu Jacomy, Jean Philippe Cointet, Pierre Mercklé, Eric Fleury

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30 Citationer (Scopus)

Abstrakt

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 (BC) 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' centres (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 organization of the network structure. In this paper, we propose a decomposition of BC 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.

OriginalsprogEngelsk
TidsskriftJournal of Complex Networks
Vol/bind4
Udgave nummer3
Sider (fra-til)319-329
Antal sider11
ISSN2051-1310
DOI
StatusUdgivet - 1 sep. 2016
Udgivet eksterntJa

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