The complexity of many biological, social and technological systems stems from the richness
of the interactions among their units. Over the past decades, a variety of complex systems …

In the past years, network theory has successfully characterized the interaction among the
constituents of a variety of complex systems, ranging from biological to technological, and …

We live and cooperate in networks. However, links in networks only allow for pairwise
interactions, thus making the framework suitable for dyadic games, but not for games that …

Interactions among living organisms, from bacteria colonies to human societies, are
inherently more complex than interactions among particles and non-living matter. Group …

Why would natural selection favor the prevalence of cooperation within the groups of selfish
individuals? A fruitful framework to address this question is evolutionary game theory, the …

Networks form the backbone of many complex systems, ranging from the Internet to human
societies. Accordingly, not only is the range of our interactions limited and thus best …

Besides the structure of interactions within networks, also the interactions between networks
are of the outmost importance. We therefore study the outcome of the public goods game on …

We study evolutionary game dynamics on structured populations in which individuals take
part in several layers of networks of interactions simultaneously. This multiplex of …

Consider a networked evolutionary game (NEG). According to its strategy updating rule, a
fundamental evolutionary equation (FEE) for each node is proposed, which is based on …

We extend the concept of eigenvector centrality to multiplex networks, and introduce several
alternative parameters that quantify the importance of nodes in a multi-layered networked …