A degree-corrected stochastic block model for community discovery in signed networks with heterogeneous degree distributions

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Zhejian Yang, Yang Li, Bo Yu, Jifeng Hu, Hechang Chen

Published: 01 Jan 2026, Last Modified: 09 Nov 2025Pattern Recognit. 2026EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•DCS2BM for signed networks with heterogeneous degree distributions.•Explicitly captures the underlying generative process of community structures.•Learning algorithm with simultaneous model selection and parameter estimation.•Enhancing scalability for analyzing large-scale networks with complex degree patterns.