Title: A research on influence factors of user's tie strength integrated with topic orientation

Authors: Wanqiong Tao; Chunhua Ju; Chonghuan Xu

Addresses: Business Administration College, School of Management and E-business, Contemporary Business and Trade Research Centre, Contemporary Business and Collaborative Innovation Research Centre, Zhejiang Gongshang University, Hangzhou City, China ' Business Administration College, School of Management and E-business, Contemporary Business and Trade Research Centre, Contemporary Business and Collaborative Innovation Research Centre, Zhejiang Gongshang University, Hangzhou City, China ' Business Administration College, School of Management and E-business, Contemporary Business and Trade Research Centre, Contemporary Business and Collaborative Innovation Research Centre, Zhejiang Gongshang University, Hangzhou City, China

Abstract: This paper studies the influence factors of tie strength between users in online social networks while considering the effect of topic orientation on user behaviour. We compare various models to identify the optimal classification model of tie strength. Furthermore, we explore the importance of different attributes including the users' different behaviours under different topic orientation on tie strength between users. The research finds that the most effective classification model is decision tree J48. According to the importance ranking of attributes, it is also found that the factor of frequency of interaction has the most prominent ability to distinguish tie strength in general. In general, users' different interaction behaviours with diverse topic orientation have varying abilities to distinguish the tie strength. The results of this study are helpful to support the further development of research in tie strength calculation.

Keywords: influence factor; online social networks; tie strength; topic orientation.

DOI: 10.1504/IJWMC.2020.106773

International Journal of Wireless and Mobile Computing, 2020 Vol.18 No.3, pp.255 - 265

Received: 19 Sep 2019
Accepted: 09 Dec 2019

Published online: 31 Mar 2020 *

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