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Random acyclic networks (2009)

Abstract
Directed acyclic graphs are a fundamental class of networks that includes citation networks, food webs, and family trees, among others. Here we define a random graph model for directed acyclic graphs and give solutions for a number of the model's properties, including connection probabilities and component sizes, as well as a fast algorithm for simulating the model on a computer. We compare the predictions of the model to a real-world network of citations between physics papers and find surprisingly good agreement, suggesting that the structure of the real network may be quite well described by the random graph.. Comment: 4 pages, 2 figures

Publication details
Download http://arxiv.org/abs/0902.4013
Repository arXiv (United States)
Keywords Physics - Physics and Society, Condensed Matter - Statistical Mechanics, Physics - Data Analysis, Statistics and Probability
Type text