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Matjaz Perc

Researcher at University of Maribor

Publications -  148
Citations -  15496

Matjaz Perc is an academic researcher from University of Maribor. The author has contributed to research in topics: Public goods game & Population. The author has an hindex of 57, co-authored 148 publications receiving 12886 citations. Previous affiliations of Matjaz Perc include King Abdulaziz University & China Medical University (Taiwan).

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Spreading of cooperative behaviour across interdependent groups

TL;DR: It is shown that there in fact exists an intermediate fraction of links between groups that is optimal for the evolution of cooperation in the prisoner's dilemma game, and it is found that between-group links are more likely to connect two cooperators than in- group links, thus supporting the conclusion that they are of paramount importance.
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Impact of critical mass on the evolution of cooperation in spatial public goods games.

TL;DR: Applying the optimal critical mass threshold, it is shown that the fraction of cooperators in public goods games is significantly larger than in the traditional linear model, where the produced public good is proportional to the fractionof cooperators within the group.
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Evolution of the most common English words and phrases over the centuries

TL;DR: It is found that the most common words and phrases in any given year had a much shorter popularity lifespan in the sixteenth century than they had in the twentieth century, and it is shown that for the past two centuries, the process has been governed by linear preferential attachment.
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Defector-accelerated cooperativeness and punishment in public goods games with mutations.

TL;DR: To explore the robustness of the cooperation-promoting effect of costly punishment, besides the usual strategy adoption dynamics, strategy mutations are applied to study the evolution of cooperation in spatial public goods games with four competing strategies.
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Evolutionary dynamics of higher-order interactions in social networks

TL;DR: This work shows that the game on uniform hypergraphs corresponds to the replicator dynamics in the well-mixed limit, providing a formal theoretical foundation to study cooperation in networked groups and unveil how the presence of hubs and the coexistence of interactions in groups of different sizes affects the evolution of cooperation.