Four-Cycle Counting in Low-Degeneracy Graph Streams

Sebastian Lüderssen; Stefan Neumann; Pan Peng

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arXiv · 2606.17732

Four-Cycle Counting in Low-Degeneracy Graph Streams

Sebastian Lüderssen·Stefan Neumann·Pan Peng

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Abstract

We study the problem of $(1+\varepsilon)$-approximating the number of four-cycles in graphs given as arbitrary order edge streams. We propose two new algorithms based on sampling induced subgraphs. Our first contribution is a two-pass algorithm that uses $\widetilde{O}(\kappa m / \sqrt{T})$ space, where $m$ is the number of edges, $T$ is the number of four-cycles, and $\kappa$ is the graph's degeneracy. This algorithm improves upon existing theoretical bounds and is provably optimal for constant-degeneracy graphs, matching the known $\Omega(m/\sqrt{T})$ lower bound up to lower-order factors. Our second contribution is a one-pass algorithm that remains accurate when four-cycles are not highly concentrated around individual nodes, edges, or wedges; this structural property is common in sparse social and collaboration networks. We evaluate both algorithms on a variety of real-world graph streams. The two-pass algorithm consistently outperforms state-of-the-art methods, using substantially less space to achieve a desired accuracy. The one-pass algorithm is competitive when four-cycles are evenly distributed, matching our theoretical analysis. Unlike several recent works, our algorithms perform well even on non-bipartite graphs such as social networks.

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BibTeX RIS

Sebastian Lüderssen, Stefan Neumann, Pan Peng. 2026-06-16. Four-Cycle Counting in Low-Degeneracy Graph Streams. https://arxiv.org/abs/2606.17732

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