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20172023
most citedDynamics on higher-order networks: A review

551 citations

Showing physics.soc-phShow all

14 papers · 1 filter

physics.soc-ph2023★ 17 cited

Universal productivity patterns in research careers

Andre S. Sunahara, Matjaz Perc, Haroldo V. Ribeiro

A common expectation is that career productivity peaks rather early and then gradually declines with seniority. But whether this holds true is still an open question. Here we inves…

physics.soc-ph2023★ 11 cited

Complexity of the COVID-19 pandemic in Maringa

Andre S. Sunahara, Arthur A. B. Pessa, Matjaz Perc +1

While extensive literature exists on the COVID-19 pandemic at regional and national levels, understanding its dynamics and consequences at the city level remains limited. This stud…

physics.soc-ph2023★ 41 cited

Deep Learning Criminal Networks

Haroldo V. Ribeiro, Diego D. Lopes, Arthur A. B. Pessa +6

Recent advances in deep learning methods have enabled researchers to develop and apply algorithms for the analysis and modeling of complex networks. These advances have sparked a s…

physics.soc-ph2023★ 36 cited

Age and market capitalization drive large price variations of cryptocurrencies

Arthur A. B. Pessa, Matjaz Perc, Haroldo V. Ribeiro

Cryptocurrencies are considered the latest innovation in finance with considerable impact across social, technological, and economic dimensions. This new class of financial assets…

physics.soc-ph2022★ 29 cited

Why are there six degrees of separation in a social network?

Ivan Samoylenko, David Aleja, Eva Primo +11

A wealth of evidence shows that real world networks are endowed with the small-world property i.e., that the maximal distance between any two of their nodes scales logarithmically…

physics.soc-ph2022★ 41 cited

Machine Learning Partners in Criminal Networks

Diego D. Lopes, Bruno R. da Cunha, Alvaro F. Martins +5

Recent research has shown that criminal networks have complex organizational structures, but whether this can be used to predict static and dynamic properties of criminal networks…

physics.soc-ph2022★ 1 cited

Universality of political corruption networks

Alvaro F. Martins, Bruno R. da Cunha, Quentin S. Hanley +3

Corruption crimes demand highly coordinated actions among criminal agents to succeed. But research dedicated to corruption networks is still in its infancy and indeed little is kno…

physics.soc-ph2022★ 551 cited

Dynamics on higher-order networks: A review

Soumen Majhi, Matjaz Perc, Dibakar Ghosh

Network science has evolved into an indispensable platform for studying complex systems. But recent research has identified limits of classical networks, where links connect pairs…

physics.soc-ph2021★ 91 cited

Evolution of honesty in higher-order social networks

Aanjaneya Kumar, Sandeep Chowdhary, Valerio Capraro +1

Sender-receiver games are simple models of information transmission that provide a formalism to study the evolution of honest signaling and deception between a sender and a receive…

physics.soc-ph2021★ 60 cited

Vector Centrality in Hypergraphs

Kirill Kovalenko, Miguel Romance, Ekaterina Vasilyeva +9

Identifying the most influential nodes in networked systems is of vital importance to optimize their function and control. Several scalar metrics have been proposed to that effect,…

physics.soc-ph2021★ 47 cited

The self-organizing impact of averaged payoffs on the evolution of cooperation

A. Szolnoki, M. Perc

According to the fundamental principle of evolutionary game theory, the more successful strategy in a population should spread. Hence, during a strategy imitation process a player…

physics.soc-ph2021★ 6 cited

Predicting transitions in cooperation levels from network connectivity

A. Zhuk, I. Sendiña-Nadal, I. Leyva +4

Networks determine our social circles and the way we cooperate with others. We know that topological features like hubs and degree assortativity affect cooperation, and we know tha…

physics.soc-ph2021★ 74 cited

Contrarians synchronize beyond the limit of pairwise interactions

K. Kovalenko, X. Dai, K. Alfaro-Bittner +3

We give evidence that a population of pure contrarians globally coupled D-dimensional Kuramoto oscillators reaches a collective synchronous state when the interplay between the uni…

physics.soc-ph2021★ 316 cited

Mathematical foundations of moral preferences

Valerio Capraro, Matjaz Perc

One-shot anonymous unselfishness in economic games is commonly explained by social preferences, which assume that people care about the monetary payoffs of others. However, during…