Empirical analysis of the evolution of a scientific collaboration network
Created by W.Langdon from
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- @Article{evol-gp-PhysA-final,
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author = "Marco Tomassini and Leslie Luthi",
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title = "Empirical analysis of the evolution of a scientific
collaboration network",
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journal = "Physica A",
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year = "2007",
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volume = "385",
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pages = "750--764",
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note = "Available online 25 July 2007",
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keywords = "genetic algorithms, genetic programming, Network
evolution, Preferential attachment, Scientific
collaboration, Social networks",
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ISSN = "0378-4371",
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URL = "http://www.sciencedirect.com/science/article/B6TVG-4P8GWXG-7/2/5836255114267d1a22b1d1fa47215fc9",
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DOI = "doi:10.1016/j.physa.2007.07.028",
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size = "15 pages",
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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 characterise
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 stabilise 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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notes = "
",
- }
Genetic Programming entries for
Marco Tomassini
Leslie Luthi
Citations