Computer Science ›› 2018, Vol. 45 ›› Issue (7): 38-41, 77.doi: 10.11896/j.issn.1002-137X.2018.07.006

• CCF Big Data 2017 • Previous Articles     Next Articles

Network Representation Model Based on Multi-architectures and Text Fusion

LI Jia-yi1,ZHAO Yu1,WANG Li2   

  1. College of Information and Computer,Taiyuan University of Technology,Jinzhong,Shanxi 030600,China1;
    College of Data Science,Taiyuan University of Technology,Jinzhong,Shanxi 030600,China2
  • Received:2017-07-22 Online:2018-07-30 Published:2018-07-30

Abstract: Network representation obtains the vector representations of nodes by deeply learning network structure,and mines the potential information on the network,which is an important method of reducing dimension in social computing.As for TADW,which is a network representation method based on matrix decomposition and combining text and structure,this paper first analyzed and discussed the influence of the location of text attributes matrix on network representation.Then,it proposed a social network representation method that incorporates relationship structure,interaction structure and textual attributes.Experimental results on multiple datasets show that the proposed method outperforms other classical network representation methods in classification tasks.

Key words: Social network, Representation learning, Multi-network structures, Matrix factorization

CLC Number: 

  • TP181
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