Percolation on interacting networks (2009)
Leicht, E. A., D'Souza, Raissa M.
Most networks of interest do not live in isolation. Instead they form components of larger systems in which multiple networks with distinct topologies coexist and where elements distributed amongst...
Community structure in directed networks (2007)
Leicht, E. A., Newman, M. E. J.
We consider the problem of finding communities or modules in directed networks. The most common approach to this problem in the previous literature has been simply to ignore edge direction and apply...
Large-scale structure of time evolving citation networks (2007)
Leicht, E. A., Clarkson, Gavin, Shedden, Kerby, Newman, M. E. J.
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, networks of...
Mixture models and exploratory analysis in networks (2006)
Newman, M. E. J., Leicht, E. A.
Networks are widely used in the biological, physical, and social sciences as a concise mathematical representation of the topology of systems of interacting components. Understanding the structure of...
Vertex similarity in networks (2005)
Leicht, E. A., Holme, Petter, Newman, M. E. J.
We consider methods for quantifying the similarity of vertices in networks. We propose a measure of similarity based on the concept that two vertices are similar if their immediate neighbors in the...
Mixture models and exploratory analysis in networks
Newman, M. E. J., Leicht, E. A.
Networks are widely used in the biological, physical, and social sciences as a concise mathematical representation of the topology of systems of interacting components. Understanding the structure of...