Empirical analysis of the evolution of a scientific collaboration network |
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Authors: | Marco Tomassini Leslie Luthi |
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Affiliation: | Information Systems Department, University of Lausanne, Switzerland |
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Abstract: | We present an analysis of the temporal evolution of a scientific coauthorship network, the genetic programming network. We find evidence that the network grows according to preferential attachment, with a slightly sublinear rate. We empirically find how a giant component forms and develops, and we characterize the network by several other time-varying quantities: the mean degree, the clustering coefficient, the average path length, and the degree distribution. We find that the first three statistics increase over time in the growing network; the degree distribution tends to stabilize toward an exponentially truncated power-law. We finally suggest an effective network interpretation that takes into account the aging of collaboration relationships. |
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Keywords: | 89.65.&minus s 89.75.&minus k 89.75.Fb |
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