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Limitation of Time Promotes Cooperation in Structured Collaboration Systems

  • Yichao Zhang*
  • , Jiasheng Wang
  • , Guanghui Wen*
  • , Jihong Guan*
  • , Shuigeng Zhou
  • , Guanrong Chen
  • , Krishnendu Chatterjee
  • , Matjaž Perc
  • *Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Abstract

Temporal networks are obtained from time-dependent interactions among individuals, whereas the interactions can be emails, phone calls, face-to-face meetings, or work collaboration. In this article, a temporal game framework is established, in which interactions among rational individuals are embedded into two-player games in a time-dependent manner. This allows studying the time-dependent complexity and variability of interactions, and the way they affect prosocial behaviors. Based on this simple mathematical model, it is found that the level of cooperation is promoted when the time of collaboration is equally limited for every individual. This observation is confirmed by a series of systematic human experiments on over 1,400 subjects, forming a foundation for comprehensively describing human temporal interactions in collaboration. The research results reveal an important incentive for human cooperation, leading to a better understanding of a fascinating aspect of human nature in society. © 2024 IEEE.
Original languageEnglish
Pages (from-to)4-12
JournalIEEE Transactions on Network Science and Engineering
Volume12
Issue number1
Online published16 Oct 2024
DOIs
Publication statusPublished - Jan 2025

Funding

The work of Jihong Guan was supported in part by the National Natural Science Foundation of China under Grant U1936205, The work of Yichao Zhang was supported in part by the Municipal Natural Science Foundation of Shanghai under Grant 17ZR1446000, The work of Guanghui Wen was supported in part by the National Natural Science Foundation of China under Grant U22B2046, The work of Shuigeng Zhou was supported in part by the Program of Science and Technology Innovation Action of the Science and Technology Commission of Shanghai Municipality (STCSM) under Grant 17511105204, The work of Guanrong Chen was supported in part by the Hong Kong Research Grants Council under Grant CityU-11206320, The work of Krishnendu Chatterjee was supported in part by ERC Consolidator under Grant 863818 (FoRM-SMArt), and The work of Matjaž Perc was supported in part by the Slovenian Research Agency under Grant J1-2457, Grant J1-9112, and Grant P1-0403.

Research Keywords

  • cooperation
  • non-cooperative game
  • temporal network
  • time limitation

RGC Funding Information

  • RGC-funded

ESI Highly Cited Papers

  • Highly Cited Paper 2026
  • Highly Cited Paper 2025

ESI Highly Cited Paper Designation Date(s)

  • 20260108
  • 20250911
  • 20250710
  • 20260514
  • 20251113
  • 20260312
  • 20260709
  • 20260923

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