Correlations in Bipartite Collaboration Networks
Matti Peltomaki, Mikko Alava
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.
Create a lesson
Related papers
Is higher-order physics different?
Pablo Villegas, Sandro Meloni
The dynamics of early transoceanic voyages: A resource-coupled model of crew health and survival
Nuno Crokidakis
When higher-order interactions matter: reducibility, parsimony, and microscopic organization
Alex Arenas, Federico Battiston, Andrea Gabrielli
Geography as the Organizing Grammar of Geospatial Models
Rajiv Ranjan, Shashank Tamaskar
Towards stratified sampling for redistricting plans
Zijian Wang, Gregory J. Herschlag, Joon-Hyeok Yim et al.
BanglaShop-CRS: A User-Centric Bangla Dataset for Conversational Recommendation
Tabia Tanzin Prama, Christopher M. Danforth, Peter Sheridan Dodds