40 citations · 91 across the 12 of their papers we have counts for
5 papers · 1 filter
ECoHeN: A Hypothesis Testing Framework for Extracting Communities from Heterogeneous Networks
Connor P. Gibbs, Bailey K. Fosdick, James D. Wilson
Community discovery is the general process of attaining assortative communities from a network: collections of nodes that are densely connected within yet sparsely connected to the…
Analysis of Population Functional Connectivity Data via Multilayer Network Embeddings
James D. Wilson, Melanie Baybay, Rishi Sankar +2
Population analyses of functional connectivity have provided a rich understanding of how brain function differs across time, individual, and cognitive task. An important but challe…
The power of A/B testing under interference
James D. Wilson, David T. Uminsky
In this paper, we address the fundamental statistical question: how can you assess the power of an A/B test when the units in the study are exposed to interference? This question i…
Community extraction in multilayer networks with heterogeneous community structure
James D. Wilson, John Palowitch, Shankar Bhamidi +1
Multilayer networks are a useful way to capture and model multiple, binary or weighted relationships among a fixed group of objects. While community detection has proven to be a us…
A testing based extraction algorithm for identifying significant communities in networks
James D. Wilson, Simi Wang, Peter J. Mucha +2
A common and important problem arising in the study of networks is how to divide the vertices of a given network into one or more groups, called communities, in such a way that ver…