Detecting dense subgraphs in complex networks based on edge density coefficient

Densely connected patterns in biological networks can help biologists to elucidate meaningful insights. How to detect dense subgraphs effectively and quickly has been an urgent challenge in recent years. In this paper, we proposed a local measure named the edge density coefficient, which could indic...

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Bibliographische Detailangaben

Hauptverfasser:	Hang Zhang, Xiangzhen Zan, Changcheng Huang, Xiangou Zhu, Chengwen Wu, Shudong Wang, Wenbin Liu
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Image edge detection
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