117 citations · 208 across the 6 of their papers we have counts for
6 papers
Testing Alignment of Node Attributes with Network Structure Through Label Propagation
Natalie Stanley, Marc Niethammer, Peter J. Mucha
Attributed network data is becoming increasingly common across fields, as we are often equipped with information about nodes in addition to their pairwise connectivity patterns. Th…
Stochastic Block Models with Multiple Continuous Attributes
Natalie Stanley, Thomas Bonacci, Roland Kwitt +2
The stochastic block model (SBM) is a probabilistic model for community structure in networks. Typically, only the adjacency matrix is used to perform SBM parameter inference. In t…
Compressing networks with super nodes
Natalie Stanley, Roland Kwitt, Marc Niethammer +1
Community detection is a commonly used technique for identifying groups in a network based on similarities in connectivity patterns. To facilitate community detection in large netw…
Case studies in network community detection
Saray Shai, Natalie Stanley, Clara Granell +2
Community structure describes the organization of a network into subgraphs that contain a prevalence of edges within each subgraph and relatively few edges across boundaries betwee…
Enhanced detectability of community structure in multilayer networks through layer aggregation
Dane Taylor, Saray Shai, Natalie Stanley +1
Many systems are naturally represented by a multilayer network in which edges exist in multiple layers that encode different, but potentially related, types of interactions, and it…
Clustering Network Layers With the Strata Multilayer Stochastic Block Model
Natalie Stanley, Saray Shai, Dane Taylor +1
Multilayer networks are a useful data structure for simultaneously capturing multiple types of relationships between a set of nodes. In such networks, each relational definition gi…