"The most important unanswered question in evolutionary biology, and more generally in the social sciences, is how cooperative behavior evolved and can be maintained in human or other animal groups and societies" (Robert May in his Presidential Address to the Royal Society in 2005). Under the complexity of human mobility and interaction, the individual's decision whether or not to cooperate can evolve in time. In practice, cooperation behavior, one of the important ingredients of prosocial behavior, exists to a great extent even though individuals are inherently selfish. It has both theoretical value and practical meaning to quantitatively analyze human cooperation behavior in modern science, which has always been the research emphasis of psychology, sociology and economics. A common argument claims that game theory can provide a powerful framework to better understand the ubiquitous cooperative behaviors in the biological and social systems.
The 2019-nCoV worldwide pandemic once again has brought the analysis of virus transmission to the focus of countries around the world. Nevertheless, we can recognize the transmission process through the research of the dynamic model for infectious diseases, which helps the decision-making teams to take the required preventive measures. Preventive vaccination is a basic and very effective control means of suppressing the transmission of infectious diseases and reducing mortality rates. Under the voluntary vaccination scheme, whether to vaccinate or not becomes an individual game decision problem considering the social environments, economic conditions, and potential risk entailed with vaccination as well as other individuals’ vaccination decisions. To understand the cooperative phenomenon of egotism in disease propagation systems still presents a major challenge.
Since we live and cooperate in a variable and complex network of relationships, amazing complex population dynamics emerge from the intricate interactions between individuals. As a primary and effective tool to explore the complex and interactive systems, the complex network theory gives us a fresh perspective for the study of evolutionary games in nature.
The goal of this Research Topic in Frontiers in Physics is to welcome the contribution of cooperation behavior. We encourage papers using network tools to offer some meaningful reference and enlightenment for us to comprehend the rules and reasons behind social dilemmas. Potential topics include but are not limited to the following:
1. Vaccination game
2. Spreading dynamics on metapopulation network
3. Information, immunity and epidemics co-evolution on multi-layer networks
4. Optimal allocation and cooperation of vaccination resources
5. How cooperation affects human behaviors on spatial networks
6. How cooperation affects human behaviors on high-order networks
"The most important unanswered question in evolutionary biology, and more generally in the social sciences, is how cooperative behavior evolved and can be maintained in human or other animal groups and societies" (Robert May in his Presidential Address to the Royal Society in 2005). Under the complexity of human mobility and interaction, the individual's decision whether or not to cooperate can evolve in time. In practice, cooperation behavior, one of the important ingredients of prosocial behavior, exists to a great extent even though individuals are inherently selfish. It has both theoretical value and practical meaning to quantitatively analyze human cooperation behavior in modern science, which has always been the research emphasis of psychology, sociology and economics. A common argument claims that game theory can provide a powerful framework to better understand the ubiquitous cooperative behaviors in the biological and social systems.
The 2019-nCoV worldwide pandemic once again has brought the analysis of virus transmission to the focus of countries around the world. Nevertheless, we can recognize the transmission process through the research of the dynamic model for infectious diseases, which helps the decision-making teams to take the required preventive measures. Preventive vaccination is a basic and very effective control means of suppressing the transmission of infectious diseases and reducing mortality rates. Under the voluntary vaccination scheme, whether to vaccinate or not becomes an individual game decision problem considering the social environments, economic conditions, and potential risk entailed with vaccination as well as other individuals’ vaccination decisions. To understand the cooperative phenomenon of egotism in disease propagation systems still presents a major challenge.
Since we live and cooperate in a variable and complex network of relationships, amazing complex population dynamics emerge from the intricate interactions between individuals. As a primary and effective tool to explore the complex and interactive systems, the complex network theory gives us a fresh perspective for the study of evolutionary games in nature.
The goal of this Research Topic in Frontiers in Physics is to welcome the contribution of cooperation behavior. We encourage papers using network tools to offer some meaningful reference and enlightenment for us to comprehend the rules and reasons behind social dilemmas. Potential topics include but are not limited to the following:
1. Vaccination game
2. Spreading dynamics on metapopulation network
3. Information, immunity and epidemics co-evolution on multi-layer networks
4. Optimal allocation and cooperation of vaccination resources
5. How cooperation affects human behaviors on spatial networks
6. How cooperation affects human behaviors on high-order networks
