Multi-layer network community discovery method based on attribute embedding

The invention discloses a multilayer network community discovery method based on attribute embedding, and relates to the field of community discovery. The method is suitable for a business scene of community discovery of complex network data in the Internet, based on network topology structure data...

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Bibliographische Detailangaben
Hauptverfasser:	NIE MINGSHUO, WANG DONGQI, CHEN DONGMING, WANG JIE, MENG JIANGNAN
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	The invention discloses a multilayer network community discovery method based on attribute embedding, and relates to the field of community discovery. The method is suitable for a business scene of community discovery of complex network data in the Internet, based on network topology structure data and attribute information given by a user, vector representation of nodes is generated, community discovery is carried out according to the vector representation, the nodes in the network are sampled by using breadth-first search and depth-first search in a Node2vec algorithm, and the community discovery is carried out according to the sampled nodes. The node sequence of the nodes is obtained, the topological structure and the attribute information of the network are completely reserved in the learned vector representation, and the embedded representation of the topological structure information and the attribute information of the nodes in the network is obtained. And completing the discovery of the community in t