Interacting Discovery Processes on Complex Networks
| Autor: | Gabriele Di Bona, Vito Latora, Vittorio Loreto, Iacopo Iacopini, Enrico Ubaldi |
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| Rok vydání: | 2020 |
| Předmět: |
FOS: Computer and information sciences
Physics - Physics and Society Exploit Computer science FOS: Physical sciences General Physics and Astronomy Physics and Society (physics.soc-ph) 01 natural sciences Theoretical Models 0103 physical sciences Humans 010306 general physics Social network analysis Pace Social and Information Networks (cs.SI) Social network business.industry Novelty Computer Science - Social and Information Networks Models Theoretical Complex network Data science Diffusion of Innovation business Centrality Social Network Analysis Social structure |
| Zdroj: | Physical Review Letters. 125 |
| ISSN: | 1079-7114 0031-9007 |
| DOI: | 10.1103/physrevlett.125.248301 |
| Popis: | 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. 22 pages, 4 figures, 1 table, Supplemental Material |
| Databáze: | OpenAIRE |
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