Tibetan Weibo User Group Division Based on Semantic Information in the Era of Big Data
Joint Authors
Qiu, Lirong
Yu, Jia
Li, Jie
Jia, HaoRan
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-08-05
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
In the era of big data, group division in online social network analysis is a basic task.
It can be divided into the group division based on static relationship and the group division based on dynamic relationship.
Compared with the static group division, users express their semantic information in all kinds of social network behaviors, and they tend to interact with other users who have the same idea and attitude; this is how different groups are formed.
In this paper, aimed at the issue that some Tibetan users use Chinese to publish microblogs on social platforms, a group division method based on semantic information of Tibetan users under the big data environment is proposed.
When dividing a large number of Tibetan user groups in a social network, a large amount of semantic information of Tibetan users in the social network is first analyzed.
Then, based on the semantic similarity between users, we aggregate the Tibetan users with high similarities into one group, thus achieving the final group division.
The experimental results illustrate the effectiveness of the method of analyzing Tibetan user semantic information in the context of big data for group partitioning.
American Psychological Association (APA)
Qiu, Lirong& Yu, Jia& Li, Jie& Jia, HaoRan. 2018. Tibetan Weibo User Group Division Based on Semantic Information in the Era of Big Data. Complexity،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1134798
Modern Language Association (MLA)
Qiu, Lirong…[et al.]. Tibetan Weibo User Group Division Based on Semantic Information in the Era of Big Data. Complexity No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1134798
American Medical Association (AMA)
Qiu, Lirong& Yu, Jia& Li, Jie& Jia, HaoRan. Tibetan Weibo User Group Division Based on Semantic Information in the Era of Big Data. Complexity. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1134798
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1134798