Introduction
Bimonthly, started in 1957
Administrator
Shanxi Provincial Education Department
Sponsor
Taiyuan University of Technology
Publisher
Ed. Office of Journal of TYUT
Editor-in-Chief
SUN Hongbin
ISSN: 1007-9432
CN: 14-1220/N
Administrator
Shanxi Provincial Education Department
Sponsor
Taiyuan University of Technology
Publisher
Ed. Office of Journal of TYUT
Editor-in-Chief
SUN Hongbin
ISSN: 1007-9432
CN: 14-1220/N
location: home > paper >
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A Survey of Key Technologies and Applications on Heterogeneous Network Alignment in Social Network Big Data
DOI:
10.16355/j.cnki.issn1007-9432tyut.2017.03.024
Received:
Accepted:
| Corresponding author | Institute | |
| WANG Li | College of Big Data，Taiyuan University of Technology |
abstract:
More online social network platforms offer more services for users, which brings social network big data.The data set about users is always full of noise, unbalance and dynamic. Heterogeneous network alignment becomes a key work for fusing multi-resource data. This article gives a survey on the key technologies and applications of heterogeneous networks alignment. Some challenges are pointed out at the end. All of this will provide useful reference for researchers on social network big data.
Keywords:
heterogeneous network alignment，anchor link prediction，network embedding