142 citations · 334 across the 19 of their papers we have counts for
5 papers · 1 filter
DYMOND: DYnamic MOtif-NoDes Network Generative Model
Giselle Zeno, Timothy La Fond, Jennifer Neville
Motifs, which have been established as building blocks for network structure, move beyond pair-wise connections to capture longer-range correlations in connections and activity. In…
Community detection over a heterogeneous population of non-aligned networks
Guilherme Gomes, Vinayak Rao, Jennifer Neville
Clustering and community detection with multiple graphs have typically focused on aligned graphs, where there is a mapping between nodes across the graphs (e.g., multi-view, multi-…
Identifying User Survival Types via Clustering of Censored Social Network Data
S Chandra Mouli, Abhishek Naik, Bruno Ribeiro +1
The goal of cluster analysis in survival data is to identify clusters that are decidedly associated with the survival outcome. Previous research has explored this problem primarily…
Network Sampling: From Static to Streaming Graphs
Nesreen K. Ahmed, Jennifer Neville, Ramana Kompella
Network sampling is integral to the analysis of social, information, and biological networks. Since many real-world networks are massive in size, continuously evolving, and/or dist…
Methods to Determine Node Centrality and Clustering in Graphs with Uncertain Structure
Joseph J. Pfeiffer, Jennifer Neville
Much of the past work in network analysis has focused on analyzing discrete graphs, where binary edges represent the "presence" or "absence" of a relationship. Since traditional ne…