The key user discovery model based on user importance calculation Online publication date: Wed, 11-Mar-2020
by Lei Zhang; Dandan Jiang; Ruirong Xue; Yawen Yi; Xiangfeng Luo
International Journal of Computational Science and Engineering (IJCSE), Vol. 21, No. 2, 2020
Abstract: Recently, more and more users publish their views on events in social media. Identifying influential users in social media can help to analyse the impact of hot events or enterprise products in the real world. The existing mainstream methods are based on attribute analysis or network analysis. But attribute-based methods only select relatively simple characteristics without examining the event targeted properties; the network-based methods only use the user behaviour relation or the content association relation to build a network without considering the user attributes. Therefore, they cannot effectively calculate the user importance. This paper proposes a multi-angle user importance calculation method with event-specificity. In our method, the overall importance of a user is measured by taking the four levels within the user layer, the fan layer, the microblog layer, and the event layer into account. Experimental results show that our method can effectively calculate the importance of users.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Science and Engineering (IJCSE):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook