Weibo Information Propagation Dissemination Based on User Behavior Using ELM
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-26
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Information dissemination prediction based on Weibo has been a hot topic in recent years.
In order to study this, people always extract features and use machine learning algorithms to do the prediction.
But there are some disadvantages.
Aiming at these deficiencies, we proposed a new feature, the dependency between the Weibos involved in geographical locations and location of the user.
We use ELM to predict behaviors of users.
An information dissemination prediction model has also been proposed in this paper.
Experimental results show that our proposed new feature is real and effective, and the model we proposed can accurately predict the scale of information dissemination.
It also can be seen in the experimental results that the use of ELM significantly reduces the time, and it has a better performance than the traditional method based on SVM.
American Psychological Association (APA)
Liu, Huilin& Li, Yao. 2015. Weibo Information Propagation Dissemination Based on User Behavior Using ELM. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1074956
Modern Language Association (MLA)
Liu, Huilin& Li, Yao. Weibo Information Propagation Dissemination Based on User Behavior Using ELM. Mathematical Problems in Engineering No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1074956
American Medical Association (AMA)
Liu, Huilin& Li, Yao. Weibo Information Propagation Dissemination Based on User Behavior Using ELM. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1074956
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074956