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You are here: Home / Research / Selected publications / Detecting global bridges in networks

Detecting global bridges in networks

2015 - Pablo Jensen, Matteo Morini, Marton Karsai, Tommaso Venturini, Alessandro Vespignani, Mathieu Jacomy, Jean-Philippe Cointet, Pierre Mercklé & Eric Fleury

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 (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.

Journal of Complex Networks

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