Identifying influential nodes based on network representation learning in complex networks

Hao Wei, Zhisong Pan, Guyu Hu, Liangliang Zhang, Haimin Yang, Xin Li and Xingyu Zhou

PLOS ONE, 2018, vol. 13, issue 7, 1-13

Abstract: Identifying influential nodes is an important topic in many diverse applications, such as accelerating information propagation, controlling rumors and diseases. Many methods have been put forward to identify influential nodes in complex networks, ranging from node centrality to diffusion-based processes. However, most of the previous studies do not take into account overlapping communities in networks. In this paper, we propose an effective method based on network representation learning. The method considers not only the overlapping communities in networks, but also the network structure. Experiments on real-world networks show that the proposed method outperforms many benchmark algorithms and can be used in large-scale networks.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0200091

DOI: 10.1371/journal.pone.0200091

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