activity
19982023
most citedA Model of a Trust-based Recommendation System on a Social Network

388 citations · 4k across the 110 of their papers we have counts for

collaborators

120 papers

cs.SE2023

Detecting and Optimising Team Interactions in Software Development

Christian Zingg, Alexander von Gernler, Carsten Arzig +2

The functional interaction structure of a team captures the preferences with which members of different roles interact. This paper presents a data-driven approach to detect the fun…

cs.SI2022★ 18 cited

Modeling social resilience: Questions, answers, open problems

Frank Schweitzer, Georges Andres, Giona Casiraghi +5

Resilience denotes the capacity of a system to withstand shocks and its ability to recover from them. We develop a framework to quantify the resilience of highly volatile, non-equi…

physics.soc-ph2022

Struggling with change: The fragile resilience of collectives

Frank Schweitzer, Christian Zingg, Giona Casiraghi

Collectives form non-equilibrium social structures characterised by a volatile dynamics. Individuals join or leave. Social relations change quickly. Therefore, differently from eng…

cs.SI2022

Reconstructing signed relations from interaction data

Georges Andres, Giona Casiraghi, Giacomo Vaccario +1

Positive and negative relations play an essential role in human behavior and shape the communities we live in. Despite their importance, data about signed relations is rare and com…

cs.LG2022★ 2 cited

Disentangling Active and Passive Cosponsorship in the U.S. Congress

Giuseppe Russo, Christoph Gote, Laurence Brandenberger +2

In the U.S. Congress, legislators can use active and passive cosponsorship to support bills. We show that these two types of cosponsorship are driven by two different motivations:…

econ.GN2022

Network embeddedness indicates the innovation potential of firms

Giacomo Vaccario, Luca Verginer, Antonios Garas +2

Firms' innovation potential depends on their position in the R&D network. But details on this relation remain unclear because measures to quantify network embeddedness have been co…