Correlations in Bipartite Collaboration Networks
arXiv:physics/0508027 · doi:10.1088/1742-5468/2006/01/P01010
Abstract
Collaboration networks are studied as an example of growing bipartite networks. These have been previously observed to have structure such as positive correlations between nearest-neighbour degrees. However, a detailed understanding of the origin of this phenomenon and the growth dynamics is lacking. Both of these are analyzed empirically and simulated using various models. A new one is presented, incorporating empirically necessary ingredients such as bipartiteness and sublinear preferential attachment. This, and a recently proposed model of team assembly both agree roughly with some empirical observations and fail in several others.
13 pages, 17 figures, 2 table, submitted to JSTAT; manuscript reorganized, figures and a table added