Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/154980
Title: SYSTEMIC INEQUITIES AND DYNAMICS IN EVOLUTIONARY PUBLIC GOODS GAMES ON COMPLEX NETWORKS
Authors: ANDREW JOHNATHAN SCHAUF
Keywords: complex networks, evolutionary game theory, public goods, heterogeneous mean-field model, social networks, Prisoner's Dilemma
Issue Date: 20-Aug-2018
Citation: ANDREW JOHNATHAN SCHAUF (2018-08-20). SYSTEMIC INEQUITIES AND DYNAMICS IN EVOLUTIONARY PUBLIC GOODS GAMES ON COMPLEX NETWORKS. ScholarBank@NUS Repository.
Abstract: We use a heterogeneous mean-field (HMF) model to study how degree-based class hierarchies, as distinct from spatial effects, determine how the statistical properties of a population structure influence the evolution of cooperation in network public goods games (PGGs). By construction, this model precludes capturing the spatial variations in local cooperativity that drive cooperation in lattice models. By comparing its numerical predictions with Monte Carlo simulations of PGGs played out on full network realizations, the HMF model can thus help to distinguish the roles of spatial and degree-hierarchical effects in these games, as well as providing an analytical tool to help understand observations drawn from simulations. The HMF model successfully predicts many qualitative features of the dynamics observed in network simulations, including the relative shifts in the phase transitions to cooperation observed among networks with different types of agent degree heterogeneity, game size heterogeneity, degree-degree correlations, and transitivity patterns.
URI: https://scholarbank.nus.edu.sg/handle/10635/154980
Appears in Collections:Ph.D Theses (Open)

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