Evolving the attribute flow for dynamical clustering in signed networks

DOI10.1016/J.CHAOS.2018.02.009zbMath1395.91373OpenAlexW2794039857WikidataQ130097376 ScholiaQ130097376MaRDI QIDQ721723

Guijun Li, Hui-Jia Li, Jie Cao, Yanchang Chu, Zhan Bu, Yu-Long Li, Zhong-Yuan Zhang

Publication date: 20 July 2018

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.chaos.2018.02.009

zbMATH Keywords

dynamical systemsclustering algorithmconvergence and divergenceattribute flowsigned networks

Mathematics Subject Classification ID

Social networks; opinion dynamics (91D30) Stochastic network models in operations research (90B15) Mathematical geography and demography (91D20)

Related Items (6)

Social learning with multiple true states ⋮ An interactive propagation model of multiple information in complex networks ⋮ Modularized convex nonnegative matrix factorization for community detection in signed and unsigned networks ⋮ An efficient immunization strategy based on transmission limit in weighted complex networks ⋮ The impact of awareness diffusion on SIR-like epidemics in multiplex networks ⋮ Percolation behaviors of partially edge-coupled interdependent networks

Cites Work

• Statistical physics of vaccination
• Weighted modularity optimization for crisp and fuzzy community detection in large-scale networks
• Reasoning human emotional responses from large-scale social and public media
• Statistical mechanics of complex networks
• Matrix Analysis

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