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Time evolution of link length distribution in PRL collaboration network

Parongama Sen·Anjan Kumar Chandra·Kamalika Basu Hajra·Pratap Kumar Das
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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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Parongama Sen, Anjan Kumar Chandra, Kamalika Basu Hajra, Pratap Kumar Das. 2006-03-22. Time evolution of link length distribution in PRL collaboration network. https://arxiv.org/abs/physics/0511181

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