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14 papers · 1 filter
On the Stability of Community Detection Algorithms on Longitudinal Citation Data
Michael James Bommarito, Daniel Martin Katz, Jon Zelner
There are fundamental differences between citation networks and other classes of graphs. In particular, given that citation networks are directed and acyclic, methods developed pri…
Random graph models for directed acyclic networks
Brian Karrer, M. E. J. Newman
We study random graph models for directed acyclic graphs, an important class of networks that includes citation networks, food webs, and feed-forward neural networks among others.…
Random hypergraphs and their applications
Gourab Ghoshal, Vinko Zlatic, Guido Caldarelli +1
In the last few years we have witnessed the emergence, primarily in on-line communities, of new types of social networks that require for their representation more complex graph st…
Random acyclic networks
Brian Karrer, M. E. J. Newman
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 dire…
Co-occurrence Network of Reuters News
Arzucan Ozgur, Burak Cetin, Haluk Bingol
Networks describe various complex natural systems including social systems. We investigate the social network of co-occurrence in Reuters-21578 corpus, which consists of news artic…
Large-scale structure of time evolving citation networks
E. A. Leicht, Gavin Clarkson, Kerby Shedden +1
In this paper we examine a number of methods for probing and understanding the large-scale structure of networks that evolve over time. We focus in particular on citation networks,…