Dynamic Community Detection in Mobile Communication Networks Using Deep Representation Learning and Gaussian Mixture Models

Securing large-scale mobile communication networks requires accurately identifying their dynamic community structures, a challenging task where existing methods often overlook topological nuances and local disturbances. This paper proposes a Dynamic Community Detection model based on representation...

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Bibliografische Detailangaben

Hauptverfasser:	Xumin Zhao, Fenghua Liu, Fangyuan Liu, Zhiqiang Zhang
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2026-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Dynamic community detection representation learning graph self-encoding Gaussian mixture model mobile communication networks network dynamics
Online-Zugang:	https://ieeexplore.ieee.org/document/11359099/
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