Combining evolutionary game theory and network theory to analyze human cooperation patterns
Creators
- 1. Department of Electric, Electronic and Computer Engineering (DIEEI), University of Catania, viale A. Doria 6, Catania, 95125 (Italy)
- 2. Computer Laboratory, Department of Computer Science, University of Cambridge, 15 JJ Thomson Avenue, Cambridge, CB3 0FD (United Kingdom)
Description
Highlights: • We investigate the evolutionary dynamics of human cooperation in a social network. • We introduce the concepts of "Critical Mass", centrality measure and homophily. • The emergence of cooperation is affected by the spatial choice of the "Critical Mass". • Our findings show that homophily speeds up the convergence towards cooperation. • Centrality and "Critical Mass" spatial choice partially offset the impact of homophily. - Abstract: As natural systems continuously evolve, the human cooperation dilemma represents an increasingly more challenging question. Humans cooperate in natural and social systems, but how it happens and what are the mechanisms which rule the emergence of cooperation, represent an open and fascinating issue. In this work, we investigate the evolution of cooperation through the analysis of the evolutionary dynamics of behaviours within the social network, where nodes can choose to cooperate or defect following the classical social dilemmas represented by Prisoner's Dilemma and Snowdrift games. To this aim, we introduce a sociological concept and statistical estimator, "Critical Mass", to detect the minimum initial seed of cooperators able to trigger the diffusion process, and the centrality measure to select within the social network. Selecting different spatial configurations of the Critical Mass nodes, we highlight how the emergence of cooperation can be influenced by this spatial choice of the initial core in the network. Moreover, we target to shed light how the concept of homophily, a social shaping factor for which "birds of a feather flock together", can affect the evolutionary process. Our findings show that homophily allows speeding up the diffusion process and make quicker the convergence towards human cooperation, while centrality measure and thus the Critical Mass selection, play a key role in the evolution showing how the spatial configurations can create some hidden patterns, partially counterbalancing the impact of homophily.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.chaos.2016.04.018Additional details
Identifiers
- DOI
- 10.1016/j.chaos.2016.04.018;
- PII
- S0960-0779(16)30149-7;
Publishing Information
- Journal Title
- Chaos, Solitons and Fractals
- Journal Volume
- 91
- Journal Page Range
- p. 17-24
- ISSN
- 0960-0779
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 48064756
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING;
- Descriptors DEI
- BEHAVIOR; CONFIGURATION; CONVERGENCE; COOPERATION; CRITICAL MASS; DEFECTS; GAME THEORY; HUMAN FACTORS; MATHEMATICAL EVOLUTION; NETWORK ANALYSIS
- Descriptors DEC
- EVOLUTION; MASS; MATHEMATICS; STATISTICS
Optional Information
- Copyright
- Copyright (c) 2016 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.