摘要
【目的】通过研究社交媒体用户信任度评估和传播影响力,发现推动或制约信息传播的关键因素,为促进社交媒体健康有序发展提供服务。【方法】根据网络信任特点,提出一种基于直接信任和间接信任的综合评估指标,该指标综合考虑个体的局部影响力和全局调控能力。【结果】SIR模型评估实验结果表明,综合评估指标值最大的个体发起的传播能在较短的传播时间内达到最大的范围。【局限】数据来源不够广泛,可能导致研究偏差。【结论】所构建的综合评估指标能够更为准确地度量网络中每个个体的信任水平。
[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.
作者
景东
张大勇
Jing Dong;Zhang Dayong(Key Laboratory of Interactive Media Design and Equipment Services Innovation,Harbin Institute of Technology,Harbin 150001,China)
出处
《数据分析与知识发现》
CSSCI
CSCD
北大核心
2018年第7期26-33,共8页
Data Analysis and Knowledge Discovery
基金
国家社会科学基金项目"社交媒体突发公共事件的协同应急机制研究"(项目编号:14CXW045)
教育部人文社会科学基金项目"微博突发公共事件传播路径的实时分析及趋势预测"(项目编号:13YJC860013)
中央高校基本科研业务费专项资金资助项目"我国网络文化分级监管体系构建与集成策略研究"(项目编号:HIT.HSS.201119)的研究成果之一