Cooperative behavior evolution of small groups on interconnected networks
- 1. Department of Automation, Tsinghua University, Beijing 100084 (China)
- 2. School of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing 100029 (China)
Description
Highlights: • Small groups are modeled on interconnected networks. • Players face different dilemmas inside and outside small groups. • Impact of the ratio and strength of link on the behavioral evolution are studied. - Abstract: Understanding the behavioral evolution in evacuation is significant for guiding and controlling the evacuation process. Based on the fact that the population consists of many small groups, here we model the small groups which are separated in space but linked by other methods, such as kinship, on interconnected networks. Namely, the players in the same layer belong to an identical small group, while the players located in different layers belong to different small groups. And the players of different layers establish interaction by edge crossed layers. In addition, players face different dilemmas inside and outside small groups, in detail, the players in the same layer play prisoner's dilemma, but players in different layers play harmony game. By means of numerous simulations, we study the impact of the ratio and strength of link on the behavioral evolution. Because the framework of this work takes the space distribution into account, which is close to the realistic life, we hope that it can provide a new insight to reveal the law of behavioral evolution of evacuation population.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.chaos.2015.06.016Additional details
Identifiers
- DOI
- 10.1016/j.chaos.2015.06.016;
- PII
- S0960-0779(15)00186-1;
Publishing Information
- Journal Title
- Chaos, Solitons and Fractals
- Journal Volume
- 80
- Journal Page Range
- p. 90-95
- ISSN
- 0960-0779
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 48001767
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- EVACUATION; INTERACTIONS; LAYERS; MATHEMATICAL EVOLUTION; NETWORK ANALYSIS; POPULATIONS; SIMULATION; SPATIAL DISTRIBUTION
- Descriptors DEC
- DISTRIBUTION; EVOLUTION
Optional Information
- Copyright
- Copyright (c) 2015 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.