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An evolution model of complex systems with simultaneous cooperation and competition

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  • Xu, Xiu-Lian
  • Fu, Chun-Hua
  • Chang, Hui
  • He, Da-Ren

Abstract

Systems with simultaneous cooperation and competition among the elements are ubiquitous. In spite of their practical importance, knowledge on the evolution mechanism of this class of complex system is still very limited. In this work, by conducting extensive empirical survey to a large number of cooperation–competition systems which cover wide categories and contain the information of network topology, cooperation–competition gain, and the evolution time, we try to get some insights into the universal mechanism of their evolutions. Empirical investigations show that the distributions of cooperation–competition gain interpolates between the power law function and the exponential function. Particularly, we found that the cooperation–competition systems with longer evolution durations tend to have more heterogeneous distributions of cooperation–competition gain. Such an empirical observation can be well explained by an analytic model in which the evolution of the systems are mainly controlled by the Matthew effect, and the marginal heterogeneity of the initial distribution is amplified by the Matthew effect with similar speed in spite of the diversity of the investigated systems.

Suggested Citation

  • Xu, Xiu-Lian & Fu, Chun-Hua & Chang, Hui & He, Da-Ren, 2011. "An evolution model of complex systems with simultaneous cooperation and competition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(21), pages 3719-3726.
  • Handle: RePEc:eee:phsmap:v:390:y:2011:i:21:p:3719-3726
    DOI: 10.1016/j.physa.2011.06.024
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    References listed on IDEAS

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    1. Zhang, Pei-Pei & Kan Chen, & He, Yue & Zhou, Tao & Su, Bei-Bei & Jin, Yingdi & Chang, Hui & Zhou, Yue-Ping & Sun, Li-Cheng & Wang, Bing-Hong & He, Da-Ren, 2006. "Model and empirical study on some collaboration networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 360(2), pages 599-616.
    2. Emanuele Pugliese & Claudio Castellano & Matteo Marsili & Luciano Pietronero, 2009. "Collaborate, compete and share," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 67(3), pages 319-327, February.
    3. P. K. Mohanty, 2007. "Why only few are so successful ?," Papers 0704.2139, arXiv.org.
    4. Hu, Hai-Bo & Wang, Xiao-Fan, 2008. "Unified index to quantifying heterogeneity of complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(14), pages 3769-3780.
    5. Chang, Hui & Su, Bei-Bei & Zhou, Yue-Ping & He, Da-Ren, 2007. "Assortativity and act degree distribution of some collaboration networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 383(2), pages 687-702.
    6. Fu, Chun-Hua & Zhang, Zeng-Ping & Chang, Hui & Tao, Jian-Ru & Chen, Zhuo-Hui & Dai, Yun-Long & Zhang, Wei & He, Da-Ren, 2008. "A kind of collaboration–competition networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(5), pages 1411-1420.
    7. Mohanty, P.K., 2007. "Why only few are so successful?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 384(1), pages 75-79.
    8. Serguei Saavedra & Felix Reed-Tsochas & Brian Uzzi, 2009. "A simple model of bipartite cooperation for ecological and organizational networks," Nature, Nature, vol. 457(7228), pages 463-466, January.
    9. J. M. Albornoz & A. Parravano, 2010. "Coevolution of competing systems: local cooperation and global inhibition," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 74(2), pages 251-263, March.
    10. Wang, Yuanshi & Wu, Hong, 2004. "Dynamics of a cooperation–competition model for the WWW market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 339(3), pages 609-620.
    11. Shijun Wang & Máté S Szalay & Changshui Zhang & Peter Csermely, 2008. "Learning and Innovative Elements of Strategy Adoption Rules Expand Cooperative Network Topologies," PLOS ONE, Public Library of Science, vol. 3(4), pages 1-9, April.
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    Cited by:

    1. Wang, Qingyun & Cao, Shengyu & Xiao, Yayuan, 2019. "Statistical characteristics of international conflict and cooperation network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    2. Feng, Ai-Xia & Fu, Chun-Hua & Xu, Xiu-Lian & Zhou, Yue-Ping & Chang, Hui & Wang, Jian & He, Da-Ren & Feng, Guo-Lin, 2012. "An extended clique degree distribution and its heterogeneity in cooperation–competition networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(7), pages 2454-2462.

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