中文

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.

关键词

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