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On strict submodularity of social influence

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Abstract

In this paper, we show several results about the strict submodularity of the influence spread in a social network with general threshold model if at each node, the threshold function is strictly increasing and strictly submodular.

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Acknowledgements

This work is supported in part by National Natural Science Foundation of China (No. 61772154) and the Shenzhen Basic Research Program (Project No. JCYJ2019080614 3011274).

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Authors and Affiliations

  1. School of Computer Science, Wuhan University, Wuhan, China

    Qiufen Ni

  2. Department of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China

    Hongwei Du

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  1. Qiufen Ni
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  2. Hongwei Du
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Correspondence to Hongwei Du.

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Ni, Q., Du, H. On strict submodularity of social influence. J Comb Optim 41, 348–356 (2021). https://doi.org/10.1007/s10878-020-00683-0

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  • DOI: https://doi.org/10.1007/s10878-020-00683-0

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