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      Identifying influential spreaders in complex networks based on gravity formula

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          Abstract

          How to identify the influential spreaders in social networks is crucial for accelerating/hindering information diffusion, increasing product exposure, controlling diseases and rumors, and so on. In this paper, by viewing the k-shell value of each node as its mass and the shortest path distance between two nodes as their distance, then inspired by the idea of the gravity formula, we propose a gravity centrality index to identify the influential spreaders in complex networks. The comparison between the gravity centrality index and some well-known centralities, such as degree centrality, betweenness centrality, closeness centrality, and k-shell centrality, and so forth, indicates that our method can effectively identify the influential spreaders in real networks as well as synthetic networks. We also use the classical Susceptible-Infected-Recovered (SIR) epidemic model to verify the good performance of our method.

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          Author and article information

          Journal
          2015-05-10
          2016-03-28
          10.1016/j.physa.2015.12.162
          1505.02476

          http://arxiv.org/licenses/nonexclusive-distrib/1.0/

          Custom metadata
          Physica A, 451(1), 205-212, (2016)
          4 tables and 4 figures, accepted by Physica A
          physics.soc-ph cs.SI

          Social & Information networks, General physics

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