ComplexNetCoauthor: A collaboration network between authors of papers in the...
In PAFit: Generative Mechanism Estimation in Temporal Complex Networks

Coauthorship network of scientists in the field of complex networks

R Documentation

A collaboration network between authors of papers in the field of complex networks with article time-stamps

Description

The dataset is collaboration network of authors of network science articles with article time-stamps. An edge between two authors represents an article in common. Time stamps denote article publication dates. The network without time-stamps was compiled by Mark Newman in May 2006 from the bibliographies of two review articles on networks, M. E. J. Newman, SIAM Review 45, 167-256 (2003) and S. Boccaletti et al., Physics Reports 424, 175-308 (2006), with a few additional references added by hand. Paul Sheridan independently supplemented the network with time-stamps and some basic metadata in June 2015. The network is undirected with monthly resolution, and contains no duplicated edges. coauthor.net contains the network. coauthor.truetime contains the real times of processed time-stamps. Finally coauthor.author_id contains author names.

Reference: M. E. J. Newman, Finding community structure in networks using the eigenvectors of matrices, Preprint physics/0605087 (2006).

Usage

data(ComplexNetCoauthor)

Format

coauthor.net is a matrix with 2849 rows and 3 columns. Each row is an edge with the format (author id 1, author id 2, time_stamp). coauthor.truetime is a two-column matrix whose each row is (time_stamp, real time). coauthor.author_id is a two-column matrix whose each row is (author id, author name).