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Updated: Nov 22, 2025

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
Published on: October 19, 2021
Interacting Discovery Processes on Complex Networks
Iacopo Iacopini1,2,3, Gabriele Di Bona1,4, Enrico Ubaldi5
1School of Mathematical Sciences, Queen Mary University of London, London E1 4NS, United Kingdom.
Abstract:
Innovation is the driving force of human progress. Recent urn models reproduce well the dynamics through which the discovery of a novelty may trigger further ones, in an expanding space of opportunities, but neglect the effects of social interactions. Here we focus on the mechanisms of collective exploration, and we propose a model in which many urns, representing different explorers, are coupled through the links of a social network and exploit opportunities coming from their contacts. We study different network structures showing, both analytically and numerically, that the pace of discovery of an explorer depends on its centrality in the social network. Our model sheds light on the role that social structures play in discovery processes.
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