1.3k citations · 2.2k across the 67 of their papers we have counts for
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PageRank beyond the Web
David F. Gleich
Google's PageRank method was developed to evaluate the importance of web-pages via their link structure. The mathematics of PageRank, however, are entirely general and apply to any…
Dimensionality of social networks using motifs and eigenvalues
Anthony Bonato, David F. Gleich, Myunghwan Kim +4
We consider the dimensionality of social networks, and develop experiments aimed at predicting that dimension. We find that a social network model with nodes and links sampled from…
Using Triangles to Improve Community Detection in Directed Networks
Christine Klymko, David Gleich, Tamara G. Kolda
In a graph, a community may be loosely defined as a group of nodes that are more closely connected to one another than to the rest of the graph. While there are a variety of metric…
Heat kernel based community detection
Kyle Kloster, David F. Gleich
The heat kernel is a particular type of graph diffusion that, like the much-used personalized PageRank diffusion, is useful in identifying a community nearby a starting seed node.…