Revealing the community structure of urban bus networks: a multi-view graph learning approach

DOI10.1007/S11067-024-09626-2MaRDI QIDQ6636430

Haipeng Shao, Ximing Ji, Shuaiming Chen

Publication date: 12 November 2024

Published in: Networks and Spatial Economics (Search for Journal in Brave)

zbMATH Keywords

community detectionpoint of interestgraph convolutional networkspatial characteristicsurban bus network

Mathematics Subject Classification ID

Multivariate analysis (62Hxx) Operations research and management science (90Bxx) Mathematical sociology (including anthropology) (91Dxx)

Cites Work

• Title not available (Why is that?)
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• Pseudo-likelihood methods for community detection in large sparse networks
• Structural properties of urban bus and subway networks of Madrid
• Site-specific optimization of bus stop locations and designs over a corridor
• Community structure in social and biological networks
• Fast unfolding of communities in large networks
• Computing Communities in Large Networks Using Random Walks
• The worldwide air transportation network: Anomalous centrality, community structure, and cities' global roles

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