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

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

Abstract 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 300,000 co-authorship relations between 95,000 scientists. Considering the different domains of the data sets, w...

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Bibliographic Details
Main Authors: Mario V Tomasello, Giacomo Vaccario, Frank Schweitzer
Format: Article
Language:English
Published: SpringerOpen 2017-09-01
Series:EPJ Data Science
Subjects:
agent-based model
complex network
Online Access:http://link.springer.com/article/10.1140/epjds/s13688-017-0117-5

Internet

http://link.springer.com/article/10.1140/epjds/s13688-017-0117-5

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