Publications

Networks of amenities reveal universal homophily and heterophily across global cities

Hypergraph backboning

Scalable inference of spatial regions and temporal signatures from time series

Heterogeneous Interaction Network Analysis (HINA): A New Learning Analytics Approach for Modelling, Analyzing, and Visualizing Complex Interactions in Learning Processes

Information theory for hypergraph similarity

Belief propagation for finite networks using a symmetry-breaking source node

Learning when to rank: Estimation of partial rankings from sparse, noisy comparisons

Normalized mutual information is a biased measure for classification and community detection

Structural reducibility of hypergraphs

Transfer entropy for finite data

Fast nonparametric inference of network backbones for weighted graph sparsification

HINA: A Learning Analytics Tool for Heterogenous Interaction Network Analysis in Python

Mutual information and the encoding of contingency tables

Network mutual information measures for graph similarity

Bayesian regionalization of urban mobility networks

PANINIpy: Package of Algorithms for Nonparametric Inference with Networks In Python

Network compression with configuration models and the minimum description length

Inference of dynamic hypergraph representations in temporal interaction data

Identifying hubs in directed networks

Improved estimates for the number of non-negative integer matrices with given row and column sums

Characterizing network circuity among heterogeneous urban amenities

Heterogeneous message passing for heterogeneous networks

Implicit models, latent compression, intrinsic biases, and cheap lunches in community detection

Compressing network populations with modal networks reveals structural diversity

Spatial regionalization based on optimal information compression

Connecting intercity mobility with urban welfare

Impact of urban structure on infectious disease spreading

Representative community divisions of networks

Clustering of heterogeneous populations of networks

The friendship paradox in real and model networks

Belief propagation for networks with loops

Integrating online and offline data for crisis management during COVID

Information theoretic network approach to socioeconomic correlations

Robust design from systems physics

Mixing patterns in interdisciplinary co-authorship networks at multiple scales

Balance in signed networks

From the betweenness centrality in street networks to structural invariants in random planar graphs