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20242026
most citedImproving community detection via community association strength scores

1 citations · 1 across the 8 of their papers we have counts for

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cs.SI2026

Twinning Complex Networked Systems: Data-Driven Calibration of the mABCD Synthetic Graph Generator

Piotr Bródka, Michał Czuba, Bogumił Kamiński +4

The increasing availability of relational data has contributed to a growing reliance on network-based representations of complex systems. Over time, these models have evolved to ca…

cs.SI2026

The Needle is a Thread: Finding Planted Paths in Noisy Process Trees

Maya Le, Paweł Prałat, Aaron Smith +1

Motivated by applications in cybersecurity such as finding meaningful sequences of malware-related events buried inside large amounts of computer log data, we introduce the "plante…

cs.SI2025

The Artificial Benchmark for Community Detection with Outliers and Overlapping Communities (ABCD+)

Jordan Barrett, Ryan DeWolfe, Bogumił Kamiński +3

The Artificial Benchmark for Community Detection (ABCD) graph is a random graph model with community structure and power-law distribution for both degrees and community sizes. The…

cs.SI2025★ 1 cited

Improving community detection via community association strength scores

Jordan Barrett, Ryan DeWolfe, Bogumił Kamiński +3

Community detection methods play a central role in understanding complex networks by revealing highly connected subsets of entities. However, most community detection algorithms ge…

cs.SI2024

Counting simplicial pairs in hypergraphs

Jordan Barrett, Paweł Prałat, Aaron Smith +1

We present two ways to measure the simplicial nature of a hypergraph: the simplicial ratio and the simplicial matrix. We show that the simplicial ratio captures the frequency, as w…