Title: A method for evaluating the relationship strength of group users based on co-occurrence

Authors: Jingke Xu; Fei Xiao

Addresses: School of Computer Science and Engineering, Shenyang Jianzhu University, Shenyang, Liaoning, China; Liaoning Province Big Data Management and Analysis Laboratory of Urban Construction, Shenyang, Liaoning, China ' School of Computer Science and Engineering, Shenyang Jianzhu University, Shenyang, Liaoning, China; Liaoning Province Big Data Management and Analysis Laboratory of Urban Construction, Shenyang, Liaoning, China

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.

Keywords: check-in data; group users; relationship strength; co-occurrence in time and space.

DOI: 10.1504/IJCAT.2022.130294

International Journal of Computer Applications in Technology, 2022 Vol.70 No.2, pp.104 - 112

Received: 09 Aug 2021
Accepted: 21 Jan 2022
Published online: 17 Apr 2023 *

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