40 citations · 54 across the 14 of their papers we have counts for
7 papers · 1 filter
Growing Hypergraphs with Homophily
Violet Ross, Francis Cataldo, Philip S. Chodrow
There are many extant models of hypergraphs with interactions governed by attribute-based homophily between nodes, but most assume independence between edges conditional on node pa…
The illusion of households as entities in social networks
Izabel Aguiar, Philip S. Chodrow, Johan Ugander
Data recording connections between people in communities and villages are collected and analyzed in various ways, most often as either networks of individuals or as networks of hou…
Edge Correlations and Link Prediction in Growing Hypergraphs
Xie He, Philip S. Chodrow, Peter J. Mucha
We propose a generative model of temporally-evolving hypergraphs in which hyperedges form via noisy copying of previous hyperedges. Our proposed model reproduces several stylized f…
Nonbacktracking spectral clustering of nonuniform hypergraphs
Philip Chodrow, Nicole Eikmeier, Jamie Haddock
Spectral methods offer a tractable, global framework for clustering in graphs via eigenvector computations on graph matrices. Hypergraph data, in which entities interact on edges o…
Generative hypergraph clustering: from blockmodels to modularity
Philip S. Chodrow, Nate Veldt, Austin R. Benson
Hypergraphs are a natural modeling paradigm for a wide range of complex relational systems. A standard analysis task is to identify clusters of closely related or densely interconn…
Emergence of Hierarchy in Networked Endorsement Dynamics
Mari Kawakatsu, Philip S. Chodrow, Nicole Eikmeier +1
Many social and biological systems are characterized by enduring hierarchies, including those organized around prestige in academia, dominance in animal groups, and desirability in…
Moments of Uniform Random Multigraphs with Fixed Degree Sequences
Philip S. Chodrow
We study the expected adjacency matrix of a uniformly random multigraph with fixed degree sequence . This matrix arises in a variety of analyses of n…