A Forwarding Prediction Model of Social Network based on Heterogeneous Network

Weibo and other online social networks have be-come the basic platform for information dissemination and diffusion. Prediction of information forwarding in social networks has attracted a lot of research work, especially how to effectively consider the characteristics of users and information, as we...

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Vydáno v:IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) (Online) Ročník 5; s. 960 - 964
Hlavní autoři: Xie, Tianyu, Wu, Chunhua, Zheng, Kangfeng
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 12.03.2021
Témata:
Blogs
Conferences
forwarding prediction
Graph representation algorithm
Heterogeneous networks
Information technology
Metapath2vec
Prediction algorithms
Predictive models
Social network
Social networking (online)
weighted heterogeneous networks
ISSN:2689-6621
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Popis
Shrnutí:Weibo and other online social networks have be-come the basic platform for information dissemination and diffusion. Prediction of information forwarding in social networks has attracted a lot of research work, especially how to effectively consider the characteristics of users and information, as well as the interaction between them. In this paper, we construct a weighted heterogeneous network based on users and information, and propose an improved heterogeneous network graph representation algorithm Mpath-wMetapath2vec to generate low dimensional representation for forwarding prediction. The experimental results on Weibo dataset show that our model outperforms the algorithms without considering node features and other graph vector representation algorithms.
ISSN:2689-6621
DOI:10.1109/IAEAC50856.2021.9390634