Heterogeneity of Some Cooperation/Competition Properties
Xu Xiu-Lian, Fu Chun-Hua, Liu Ai-Fen, He Da-Ren

TL;DR
This paper demonstrates how the heterogeneity index can effectively quantify disparity in cooperation and competition systems, deriving analytical relations that align with empirical data, and suggests a foundation for a general dynamic model based on the Zhang-Chang framework.
Contribution
It introduces the use of the heterogeneity index for analyzing cooperation/competition disparity and derives analytical relations linking distribution parameters, supported by empirical validation.
Findings
Heterogeneity index effectively describes disparity in cooperation/competition systems.
Analytical relations between distribution parameters and heterogeneity index are consistent with empirical data.
Potential to develop a general dynamic cooperation/competition model based on Zhang-Chang model.
Abstract
We show that the heterogeneity index, which was proposed by Hu and Wang (Physica A 2008 387 3769), can be used to describe the disparity of the cooperation sharing or competition gain distributions that is very important for the cooperation/competition system dynamic understanding. An analytical relation between the distribution parameters and the heterogeneity index is derived, which is in a good agreement with the empirical results. Our theoretical and empirical analyses also show that the relation between the distribution parameters can be analytically derived from so-called Zhang-Chang model (Physica A 2006 360 599 and 2007 383 687). This strongly recommends a possibility to create a general dynamic cooperation/competition model based on Zhang-Chang model.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGame Theory and Applications · Economic theories and models · Mathematical and Theoretical Epidemiology and Ecology Models
