Evolutionary dynamics of time-resolved social interactions
Alessio Cardillo, Giovanni Petri, Vincenzo Nicosia, Roberta Sinatra,, Jes\'us G\'omez-Garde\~nes, and Vito Latora

TL;DR
This paper investigates how the temporal dynamics of social interactions influence the evolution of cooperation, revealing that fluctuating social ties tend to promote selfish behavior over cooperative strategies.
Contribution
It introduces an analysis of time-varying social networks using real human interaction data to understand their impact on cooperation in social dilemmas.
Findings
Temporal social tie dynamics favor selfish behavior.
Heterogeneity in social ties increases cooperation.
Time-varying networks significantly affect evolutionary outcomes.
Abstract
Cooperation among unrelated individuals is frequently observed in social groups when their members combine efforts and resources to obtain a shared benefit that is unachievable by an individual alone. However, understanding why cooperation arises despite the natural tendency of individuals towards selfish behavior is still an open problem and represents one of the most fascinating challenges in evolutionary dynamics. Recently, the structural characterization of the networks in which social interactions take place has shed some light on the mechanisms by which cooperative behavior emerges and eventually overcomes the natural temptation to defect. In particular, it has been found that the heterogeneity in the number of social ties and the presence of tightly knit communities lead to a significant increase in cooperation as compared with the unstructured and homogeneous connection patterns…
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