%A Jing Dong,Zhang Dayong %T Assessing Trust-Based Users’ Influence in Social Media %0 Journal Article %D 2018 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.2096-3467.2017.1067 %P 26-33 %V 2 %N 7 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_4526.shtml} %8 2018-07-25 %X

[Objective] The paper studies the impacts of trust on social media users’ influence to detect factors affecting information dissemination, which could benefit the development of social media. [Methods] We proposed a comprehensive evaluation index based on the direct and indirect trust, as well as the local and global influence of each individual user of social media. [Results] Simulations based on SIR model showed that original message from individuals with the highest comprehensive index value could reach the largest number of users. [Limitations] The collected data was not comprehensive, which might yield biased results. [Conclusions] The proposed index could effectively measure the trust level of each individual in social media.