Balance in signed networks. - Alec Kirkley; George T. Cantwell; M. E. J. Newman (CoRR, 2018)

Mixing Patterns in Interdisciplinary Collaboration Networks: Assessing Interdisciplinarity Through Multiple Lenses. - Shihui Feng; Alec Kirkley (CoRR, 2020)

Online geolocalized emotion across US cities during the COVID crisis: Universality, policy response, and connection with local mobility. - Shihui Feng; Alec Kirkley (CoRR, 2020)

Message passing for probabilistic models on networks with loops. - Alec Kirkley; George T. Cantwell; M. E. J. Newman (CoRR, 2020)

An information theoretic network approach to socioeconomic correlations. - Alec Kirkley (CoRR, 2020)

The friendship paradox in real and model networks. - George T. Cantwell; Alec Kirkley; M. E. J. Newman (J. Complex Networks, 2021)

Representative community divisions of networks. - Alec Kirkley; M. E. J. Newman (CoRR, 2021)

Clustering of heterogeneous populations of networks. - Jean-Gabriel Young; Alec Kirkley; M. E. J. Newman (CoRR, 2021)

Spatial regionalization as optimal data compression. - Alec Kirkley (CoRR, 2021)

Compressing network populations with modal networks reveals structural diversity. - Alec Kirkley; Alexis Rojas; Martin Rosvall; Jean-Gabriel Young (CoRR, 2022)

Implicit models, latent compression, intrinsic biases, and cheap lunches in community detection. - Tiago P. Peixoto; Alec Kirkley (CoRR, 2022)

Heterogeneous message passing for heterogeneous networks. - George T. Cantwell; Alec Kirkley; Filippo Radicchi (CoRR, 2023)

Characterizing the Directness of Accessibility Among Heterogeneous Urban Amenities with Network First Passage Distances. - Bibandhan Poudyal; Gourab Ghoshal; Alec Kirkley (CoRR, 2023)

Normalized mutual information is a biased measure for classification and community detection. - Maximilian Jerdee; Alec Kirkley; M. E. J. Newman (CoRR, 2023)

Constructing hypergraphs from temporal data. - Alec Kirkley (CoRR, 2023)

Identifying hubs in directed networks. - Alec Kirkley (CoRR, 2023)

Urban Boundary Delineation from Commuting Data with Bayesian Stochastic Blockmodeling: Scale, Contiguity, and Hierarchy. - Sebastian Morel-Balbi; Alec Kirkley (CoRR, 2024)

Network mutual information measures for graph similarity. - Helcio Felippe; Federico Battiston; Alec Kirkley (CoRR, 2024)

Mutual information and the encoding of contingency tables. - Maximilian Jerdee; Alec Kirkley; M. E. J. Newman (CoRR, 2024)

Fast nonparametric inference of network backbones for graph sparsification. - Alec Kirkley (CoRR, 2024)

PANINIpy: Package of Algorithms for Nonparametric Inference with Networks In Python. - Alec Kirkley; Baiyue He (J. Open Source Softw., 2024)

Learning when to rank: Estimation of partial rankings from sparse, noisy comparisons. - Sebastian Morel-Balbi; Alec Kirkley (CoRR, 2025)

Transfer entropy for finite data. - Alec Kirkley (CoRR, 2025)

HINA: A Learning Analytics Tool for Heterogenous Interaction Network Analysis in Python. - Shihui Feng; Baiyue He; Alec Kirkley (J. Open Source Softw., 2025)