activity
20142026
most citedQuantifying and suppressing ranking bias in a large citation network

50 citations · 187 across the 13 of their papers we have counts for

collaborators

16 papers

physics.soc-ph2026

The role of administrative costs in policies to improve cooperation

Giacomo Vaccario, Luca Verginer, Frank Schweitzer

We use an agent-based model for studying policies of an abstract government to increase the level of cooperation. In situations where defection is the rational choice, agents recei…

physics.soc-ph2025

Structurally balanced growing network as randomized Pólya urn process

Krishnadas Mohandas, Piotr J. Górski, Krzysztof Suchecki +3

We investigate a process of growth of a signed network that strictly adheres to Heider structural balance rules, resulting in two opposing, growing factions. New agents make contac…

econ.GN2023★ 20 cited

Adapting to Disruptions: Flexibility as a Pillar of Supply Chain Resilience

Ambra Amico, Luca Verginer, Giona Casiraghi +2

Supply chain disruptions cause shortages of raw material and products. To increase resilience, i.e., the ability to cope with shocks, substituting goods in established supply chain…

physics.soc-ph2023

Fragmentation from group interactions: A higher-order adaptive voter model

Nikos Papanikolaou, Renaud Lambiotte, Giacomo Vaccario

The adaptive voter model allows for studying the interplay between homophily, the tendency of like-minded individuals to attract each other, and social influence, the tendency for…

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…

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…

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…

physics.soc-ph2022★ 1 cited

Consensus from group interactions: An adaptive voter model on hypergraphs

Nikos Papanikolaou, Giacomo Vaccario, Erik Hormann +2

We study the effect of group interactions on the emergence of consensus in a spin system. Agents with discrete opinions form groups. They can change their opinion based o…

cs.DL2021

When standard network measures fail to rank journals: A theoretical and empirical analysis

Giacomo Vaccario, Luca Verginer

Journal rankings are widely used and are often based on citation data in combination with a network perspective. We argue that some of these network-based rankings can produce misl…

physics.soc-ph2021★ 1 cited

Should the government reward cooperation? Insights from an agent-based model of wealth redistribution

Frank Schweitzer, Luca Verginer, Giacomo Vaccario

In our multi-agent model agents generate wealth from repeated interactions for which a prisoner's dilemma payoff matrix is assumed. Their gains are taxed by a government at a rate…

physics.soc-ph2019★ 22 cited

What is the Entropy of a Social Organization?

Christian Zingg, Giona Casiraghi, Giacomo Vaccario +1

We quantify a social organization's potentiality, that is its ability to attain different configurations. The organization is represented as a network in which nodes correspond to…

cs.SI2019★ 24 cited

The Mobility Network of Scientists: Analyzing Temporal Correlations in Scientific Careers

Giacomo Vaccario, Luca Verginer, Frank Schweitzer

The mobility of scientists between different universities and countries is important to foster knowledge exchange. At the same time, the potential mobility is restricted by geograp…

physics.soc-ph2018★ 32 cited

Reproducing scientists' mobility: A data-driven model

Giacomo Vaccario, Luca Verginer, Frank Schweitzer

High skill labour is an important factor underpinning the competitive advantage of modern economies. Therefore, attracting and retaining scientists has become a major concern for m…

physics.soc-ph2017★ 19 cited

Data-driven modeling of collaboration networks: A cross-domain analysis

Mario V. Tomasello, Giacomo Vaccario, Frank Schweitzer

We analyze large-scale data sets about collaborations from two different domains: economics, specifically 22.000 R&D alliances between 14.500 firms, and science, specifically 300.0…

physics.soc-ph2017★ 50 cited

Quantifying and suppressing ranking bias in a large citation network

Giacomo Vaccario, Matus Medo, Nicolas Wider +1

It is widely recognized that citation counts for papers from different fields cannot be directly compared because different scientific fields adopt different citation practices. Ci…

physics.soc-ph2014

The role of network embeddedness on the selection of collaboration partners: An agent-based model with empirical validation

Frank Schweitzer, Antonios Garas, Mario V. Tomasello +2

We use a data-driven agent-based model to study the core-periphery structure of two collaboration networks, R&D alliances between firms and co-authorship relations between scientis…