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ProfitLeader: identifying leaders in networks with profit capacity

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Abstract

Identifying ‘Leaders’ in a network is a significant step to optimize the use of available resources, accelerate or hinder spreading information. In this paper, we propose a new measure to characterize the importance of a node, called ProfitLeader, which considers the problem of critical node identification from a novel perspective: profit capacity. Unlike established approaches to identify influential nodes in networks based on its local topology or information diffusion capacity, ProfitLeader, ranks the influence of each individual node via its profit capacity. The basic idea is to view each node as a person, and measure how much profit “the person” can offer for others. Namely, the more profit “the person” provides for others, the more important the node is. To characterize the profit capacity of each node, its available resource and sharing probability to its neighbors are investigated. Building upon the profit capacity, ProfitLeader has several remarkable advantages: (a) It provides a simple, intuitive yet effective way to rank the nodes in networks from a new viewpoint; (b) ProfitLeader allows finding the most important nodes (with high quality). (c) ProfitLeader is fully automatic, and no parameters are required to be specified by users. Extensive experiments on both small networks and large-scale networks have demonstrated its superiority over several state-of-the-art algorithms.

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Acknowledgements

This work is supported by the National Natural Science Foundation of China (61403062, 61433014, 41601025), China Postdoctoral Science Foundation (2014M552344,2015M580786), Science-Technology Foundation for Young Scientist of Sichuan Province (2016JQ0007), National key research and development program (2016YFB0502300),and Sichuan province soft science research project (2017ZR0208).

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Authors and Affiliations

  1. Big Data Research Center, School of Computer Science and Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave, West Hi-Tech Zone, 611731, Chengdu, China

    Zhongjing Yu, Junming Shao & Qinli Yang

  2. School of Information Science and Engineering, Central South University, Changsha, Hunan, China

    Zejun Sun

Authors
  1. Zhongjing Yu
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  2. Junming Shao
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  3. Qinli Yang
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  4. Zejun Sun
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Corresponding author

Correspondence to Junming Shao.

Additional information

This article belongs to the Topical Collection: Special Issue on Deep vs. Shallow: Learning for Emerging Web-scale Data Computing and Applications

Guest Editors: Jingkuan Song, Shuqiang Jiang, Elisa Ricci, and Zi Huang

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Yu, Z., Shao, J., Yang, Q. et al. ProfitLeader: identifying leaders in networks with profit capacity. World Wide Web 22, 533–553 (2019). https://doi.org/10.1007/s11280-018-0537-6

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  • DOI: https://doi.org/10.1007/s11280-018-0537-6

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