activity
19972019
most citedDetecting the overlapping and hierarchical community structure of complex networks

2k citations · 9.9k across the 102 of their papers we have counts for

collaborators

105 papers

physics.soc-ph2019★ 145 cited

Inequality is rising where social network segregation interacts with urban topology

Gergő Tóth, Johannes Wachs, Riccardo Di Clemente +4

Social networks amplify inequalities due to fundamental mechanisms of social tie formation such as homophily and triadic closure. These forces sharpen social segregation reflected…

q-fin.GN2019

Corruption Risk in Contracting Markets: A Network Science Perspective

Johannes Wachs, Mihály Fazekas, János Kertész

We use methods from network science to analyze corruption risk in a large administrative dataset of over 4 million public procurement contracts from European Union member states co…

physics.soc-ph2019★ 66 cited

A network approach to cartel detection in public auction markets

Johannes Wachs, János Kertész

Competing firms can increase profits by setting prices collectively, imposing significant costs on consumers. Such groups of firms are known as cartels and because this behavior is…

physics.soc-ph2019

Social structure formation in a network of agents playing a hybrid of ultimatum and dictator games

Jan E. Snellman, Rafael Barrio, Kimmo Kaski

Here we present an agent-based model where agents interact with other agents by playing a hybrid of dictator and ultimatum games in a co-evolving social network. The basic assumpti…

physics.soc-ph2019★ 7 cited

Sampling networks by nodal attributes

Yohsuke Murase, Hang-Hyun Jo, János Török +2

In a social network individuals or nodes connect to other nodes by choosing one of the channels of communication at a time to re-establish the existing social links. Since availabl…

physics.soc-ph2019★ 21 cited

Reentrant phase transitions in threshold driven contagion on multiplex networks

Samuel Unicomb, Gerardo Iñiguez, János Kertész +1

Models of threshold driven contagion explain the cascading spread of information, behavior, systemic risk, and epidemics on social, financial and biological networks. At odds with…