activity
20232026
most citedNetwork mutual information measures for graph similarity

15 citations · 25 across the 7 of their papers we have counts for

collaborators

8 papers

cs.SI2026

Scalable detection of higher-order interactions in network data

Yingbang Zang, Yanting Zhang, Alec Kirkley

Complex systems are routinely measured and represented through pairwise networks, even when the underlying interactions involve more than two units at once. Recovering this latent…

cs.SI2026

Hypergraph backboning

Alec Kirkley, Helcio Felippe, Federico Malizia +1

Hypergraphs provide a natural framework for describing complex networked systems with higher-order, non-dyadic interactions. Due to their high dimensionality and often redundant st…

physics.soc-ph2026

Networks of amenities reveal universal homophily and heterophily across global cities

Jianrui Wu, Baiyue He, Alec Kirkley

Agglomeration economies drive urban growth at different spatial scales by enabling productivity gains, knowledge spillovers, and shared inputs among proximate firms and amenities.…

physics.soc-ph2026

Structural reducibility of hypergraphs

Alec Kirkley, Helcio Felippe, Federico Battiston

Higher-order interactions provide a nuanced understanding of the relational structure of complex systems beyond traditional pairwise interactions. However, higher-order network ana…

physics.soc-ph2025

Information theory for hypergraph similarity

Helcio Felippe, Alec Kirkley, Federico Battiston

Comparing networks is essential for a number of downstream tasks, from clustering to anomaly detection. Despite higher-order interactions being critical for understanding the dynam…

cs.SI2024★ 1 cited

Fast nonparametric inference of network backbones for weighted graph sparsification

Alec Kirkley

Network backbones provide useful sparse representations of weighted networks by keeping only their most important links, permitting a range of computational speedups and simplifyin…

physics.soc-ph2024★ 15 cited

Network mutual information measures for graph similarity

Helcio Felippe, Federico Battiston, Alec Kirkley

A wide range of tasks in network analysis, such as clustering network populations or identifying anomalies in temporal graph streams, require a measure of the similarity between tw…

cs.SI2023★ 9 cited

Identifying hubs in directed networks

Alec Kirkley

Nodes in networks that exhibit high connectivity, also called ``hubs'', play a critical role in determining the structural and functional properties of networked systems. However,…