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
Showing physics.soc-phShow all

10 papers · 1 filter

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…

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…

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…

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…

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…