A method for evaluating the relationship strength of group users based on co-occurrence Online publication date: Mon, 17-Apr-2023
by Jingke Xu; Fei Xiao
International Journal of Computer Applications in Technology (IJCAT), Vol. 70, No. 2, 2022
Abstract: At present, the inference of users' social relations based on check-in data has become a hot topic. However, the existing methods to evaluate users' relationship strength mainly concentrated between two users, and group users contain greater information and utilisation value. This paper focuses on the co-occurrence phenomenon that group users are in the same time and space, and research group users' relationship strength problem with co-occurrence method and min-max method based on entropy. The real check-in data sets are used to carry out sufficient experiments on the two proposed evaluation methods. The experimental results show that the min-max method can better adapt to the sparse problem of check-in data and reduce the influence of coincidence. Compared with the basic co-occurrence method, it has certain stability in groups of different sizes, and the larger the group size is, the more obvious its advantages are.
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 Computer Applications in Technology (IJCAT):
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