Publication | Open Access
Clustering and preferential attachment in growing networks
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References
2001
Year
Community StructureCollaborative NetworkComputational Social ScienceNetwork EvolutionNetwork ScienceEngineeringData ScienceInteraction NetworkNetwork AnalysisTime EvolutionPreferential AttachmentScientific Collaboration NetworksCommunicationSocial NetworkPower-law Degree DistributionsNetwork TheorySocial Network Analysis
We study empirically the time evolution of scientific collaboration networks in physics and biology. In these networks, two scientists are considered connected if they have coauthored one or more papers together. We show that the probability of a pair of scientists collaborating increases with the number of other collaborators they have in common, and that the probability of a particular scientist acquiring new collaborators increases with the number of his or her past collaborators. These results provide experimental evidence in favor of previously conjectured mechanisms for clustering and power-law degree distributions in networks.
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