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Effects of friend-making resources/costs and remembering on acquaintance networks

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  • Huang, Chung-Yuan
  • Tsai, Yu-Shiuan

Abstract

We consider two overlooked yet important factors that affect acquaintance network evolution and formation—friend-making resources and remembering—and propose a bottom-up, network-oriented simulation model based on three rules representing human social interactions. Our proposed model reproduces many topological features of real-world acquaintance networks, including a small-world phenomenon and a sharply peaked connectivity distribution feature that mixes power-law and exponential distribution types. We believe that this is an improvement over fieldwork sampling methods that fail to capture acquaintance network node connectivity distributions. Our model may produce valuable results for sociologists working with social opinion formation and epidemiologists studying epidemic dynamics.

Suggested Citation

  • Huang, Chung-Yuan & Tsai, Yu-Shiuan, 2010. "Effects of friend-making resources/costs and remembering on acquaintance networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(3), pages 604-622.
    • Handle: RePEc:eee:phsmap:v:389:y:2010:i:3:p:604-622
    DOI: 10.1016/j.physa.2009.09.038
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    References listed on IDEAS

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    1. Emily M. Jin & Michelle Girvan & M. E. J. Newman, 2001. "The Structure of Growing Social Networks," Working Papers 01-06-032, Santa Fe Institute.
    2. M. E. J. Newman & D. J. Watts, 1999. "Renormalization Group Analysis of the Small-World Network Model," Working Papers 99-04-029, Santa Fe Institute.
    3. Martin J. Conyon & Mark R. Muldoon, 2006. "The Small World of Corporate Boards," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(9‐10), pages 1321-1343, November.
    4. Martin J. Conyon & Mark R. Muldoon, 2006. "The Small World of Corporate Boards," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(9-10), pages 1321-1343.
    5. Li, Xiang & Chen, Guanrong, 2003. "A local-world evolving network model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 328(1), pages 274-286.
    6. Réka Albert & Hawoong Jeong & Albert-László Barabási, 2000. "Error and attack tolerance of complex networks," Nature, Nature, vol. 406(6794), pages 378-382, July.
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    Cited by:

    1. Yong, Nuo & Ni, Shunjiang & Shen, Shifei & Ji, Xuewei, 2016. "An understanding of human dynamics in urban subway traffic from the Maximum Entropy Principle," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 222-227.

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