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The Influence of Human Heterogeneity to Information Spreading

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Abstract

Humans are an integral part of the wide world and material areas, and morphological difference is widespread. In this paper, we propose a model to emphasize the influence of human heterogeneity to information spreading on social networks, and the properties including memory effects, social reinforcement, non-redundancy and human heterogeneity are taken into account. Simulation results indicate that the small-world networks generate the most effective spreading for the stronger human heterogeneity; however, for the weaker human heterogeneity, the regular networks will be more effective. In addition, for a given BA scale-free network, the stronger human heterogeneity will be more conducive to information spreading.

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Acknowledgments

This work was supported by Natural Science Foundation of China under Grant Nos. 11271006, 11201440 and Shandong Provincial Natural Science Foundation of China under Grant No. ZR2012GQ002.

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Authors and Affiliations

  1. School of Mathematics, Shandong University, Jinan , 250100, China

    Zhi-Qiang Zhu, Chuan-Jian Liu, Jian-Liang Wu & Jin Xu

  2. Department of Mathematics, Ocean University of China, Qingdao , 266100, China

    Bin Liu

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  1. Zhi-Qiang Zhu
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  2. Chuan-Jian Liu
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  3. Jian-Liang Wu
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  4. Jin Xu
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Correspondence to Jian-Liang Wu.

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Zhu, ZQ., Liu, CJ., Wu, JL. et al. The Influence of Human Heterogeneity to Information Spreading. J Stat Phys 154, 1569–1577 (2014). https://doi.org/10.1007/s10955-014-0924-z

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  • DOI: https://doi.org/10.1007/s10955-014-0924-z

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