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On the evolution of social ties as an instrumental tool for resource competition in resource patch networks

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  • Chester Wai-Jen Liu

    (Chang Jung Christian University)

  • Sheng-Feng Shen

    (Biodiversity Research Center, Academia Sinica)

  • Wei-Chung Liu

    (Institute of Statistical Science, Academia Sinica)

Abstract

Human is a highly cultural species with diversified skills and knowledge. In this paper, we examine whether the diversification of skills and knowledge can promote the emergence of social ties between individuals as means for acquiring resources. Specifically, we construct a simulation model consisting of two types of actors—one who uses social ties to search for resources and one who does not—and allow them to compete for resources that are distributed in resource patch networks of varying structures. In a densely connected resource patch network, implying a setting with less diversified sets of skills and knowledge, model result demonstrates that social ties can be detrimental to those adopting it. In a sparsely connected network, implying a setting with more diversified sets of skills and knowledge, social-type strategy can outcompete solitary-type strategy. Furthermore, actors with a pure social-type strategy are always inferior to their solitary competitors, regardless the structure of the resource patch network. Our modeling framework is of a very fundamental nature, and its relevance to existing theories and the sociological implication of its results are discussed.

Suggested Citation

  • Chester Wai-Jen Liu & Sheng-Feng Shen & Wei-Chung Liu, 2021. "On the evolution of social ties as an instrumental tool for resource competition in resource patch networks," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-18, December.
    • Handle: RePEc:pal:palcom:v:8:y:2021:i:1:d:10.1057_s41599-021-00753-6
    DOI: 10.1057/s41599-021-00753-6
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    References listed on IDEAS

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    1. Marcus W. Feldman & Kenichi Aoki & Jochen Kumm, 1996. "Individual Versus Social Learning: Evolutionary Analysis in a Fluctuating Environment," Working Papers 96-05-030, Santa Fe Institute.
    2. Katz, J. Sylvan & Martin, Ben R., 1997. "What is research collaboration?," Research Policy, Elsevier, vol. 26(1), pages 1-18, March.
    3. Frederick Kin Hing Phoa & Hsin-Yi Lai & Livia Lin-Hsuan Chang & Keisuke Honda, 2020. "A two-step deep learning approach to data classification and modeling and a demonstration on subject type relationship analysis in the Web of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 851-863, November.
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