Time evolution of link length distribution in PRL collaboration network
物理与社会
2007-05-23 v3 数据分析、统计与概率
摘要
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.
引用
@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}
}
备注
References added, paper shortened and modified