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Local experts finding using user comments in location-based social networks

Cao, Jiuxin; Yang, Yuntao; Cao, Biwei; Xue, Lingyun; Li, Shancang; Iqbal, Muddesar; Mumtaz, Shahid

Authors

Jiuxin Cao

Yuntao Yang

Biwei Cao

Lingyun Xue

Shancang Li

Muddesar Iqbal

Shahid Mumtaz



Abstract

The opinions of local experts in the location-based social network are of great significance to the collection and dissemination of local information. In this paper, we investigated in-depth how the user comments can be used to identify the local expert over social networks. We first illustrate the existences of potential local experts in a social network using a scored model by considering the personal profiles, comments, friend relationship, and location preferences. Then, a multi-dimensional model is proposed to evaluate the local expert candidates and a local expert discovery algorithm is proposed to identify local experts. Meanwhile, a scoring algorithm is proposed to train the weights in the model. Finally, an expert recommendation list can be given based on the score ranks of the candidates. Experimental results demonstrate that effectiveness of proposed model and algorithms

Journal Article Type Article
Acceptance Date Feb 7, 2019
Online Publication Date Mar 22, 2019
Publication Date Sep 1, 2019
Deposit Date Mar 13, 2019
Publicly Available Date Mar 23, 2020
Journal Transactions on Emerging Telecommunications Technologies
Print ISSN 2161-3915
Publisher Wiley
Peer Reviewed Peer Reviewed
Volume 30
Issue 9
Article Number e3600
DOI https://doi.org/10.1002/ett.3600
Keywords comments over social network, scoring model, local expert
Public URL https://uwe-repository.worktribe.com/output/850242
Publisher URL https://doi.org/10.1002/ett.3600
Additional Information Additional Information : This is the peer reviewed version of the following article: Cao, J., Yang, Y., Cao, B., Xue, L., Li, S., Iqbal, M. and Mumtaz, S. (2019) Local experts finding using user comments in location-based social networks. Transactions on Emerging Telecommunications Technologies, which has been published in final form at https://doi.org/10.1002/ett.3600. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
Contract Date Apr 1, 2019

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