English

Time evolution of link length distribution in PRL collaboration network

Physics and Society 2007-05-23 v3 Data Analysis, Statistics and Probability

Abstract

An important aspect of a Euclidean network is its link length distribution, studied in a few real networks so far. We compute the distribution of the link lengths between collaborators whose papers appear in the PhysicalReview Letters (PRL) in several years within a range of four decades. The distribution is non-monotonic; there is a peak at nearest neighbour distances followed by a sharp fall and a subsequent rise at larger distances. The behaviour of the statistical properties of the distribution with time indicates that collaborations might become distance independent in about thirty to forty years.

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Cite

@article{arxiv.physics/0511181,
  title  = {Time evolution of link length distribution in PRL collaboration network},
  author = {Parongama Sen and Anjan Kumar Chandra and Kamalika Basu Hajra and Pratap Kumar Das},
  journal= {arXiv preprint arXiv:physics/0511181},
  year   = {2007}
}

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