MODELING TEMPORAL AND SPATIAL FEATURES OF COLLABORATION NETWORK

Anjan Kumar Chandra (), Kamalika Basu Hajra, Pratap Kumar Das and Parongama Sen
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Anjan Kumar Chandra: Department of Physics, University of Calcutta, 92 Acharya Prafulla Chandra Road, Kolkata 700009, India
Kamalika Basu Hajra: Department of Physics, University of Calcutta, 92 Acharya Prafulla Chandra Road, Kolkata 700009, India
Pratap Kumar Das: Department of Physics, University of Calcutta, 92 Acharya Prafulla Chandra Road, Kolkata 700009, India
Parongama Sen: Department of Physics, University of Calcutta, 92 Acharya Prafulla Chandra Road, Kolkata 700009, India

International Journal of Modern Physics C (IJMPC), 2007, vol. 18, issue 07, 1157-1172

Abstract: The collaboration network is an example of a social network which has both non-trivial temporal and spatial dependence. Based on the observations of collaborations in Physical Review Letters, a model of collaboration network is proposed which correctly reproduces the time evolution of the link length distributions, clustering coefficients, degree distributions, and assortative property of real data to a large extent.

Keywords: Small world and scale free networks; aging; coarse graining of data; distributions; clustering; assortativity; 87.23.Ge; 89.75.Hc (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (2)

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DOI: 10.1142/S0129183107011194

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