Impact of user influence on information multi-step communication in a micro-blog  

Impact of user influence on information multi-step communication in a micro-blog

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作  者:吴越 胡勇 何小海 邓垦 

机构地区:[1]College of Electronics and Information Engineering, Sichuan University

出  处:《Chinese Physics B》2014年第6期5-12,共8页中国物理B(英文版)

基  金:supported by the National Natural Science Foundation of China(Grant No.60873246);China Information Technology Security Evaluation Center

摘  要:User influence is generally considered as one of the most critical factors that affect information cascading spreading. Based on this common assumption, this paper proposes a theoretical model to examine user influence on the information multi-step communication in a micro-biog. The multi-steps of information communication are divided into first-step and non-first-step, and user influence is classified into five dimensions. Actual data from the Sina micro-blog is collected to construct the model by means of an approach based on structural equations that uses the Partial Least Squares (PLS) technique. Our experimental results indicate that the dimensions of the number of fans and their authority significantly impact the information of first-step conxrnunication. Leader rank has a positive impact on both first-step and non-first-step communication. Moreover, global centrality and weight of friends are positively related to the information non-first-step communication, but authority is found to have much less relation to it.User influence is generally considered as one of the most critical factors that affect information cascading spreading. Based on this common assumption, this paper proposes a theoretical model to examine user influence on the information multi-step communication in a micro-biog. The multi-steps of information communication are divided into first-step and non-first-step, and user influence is classified into five dimensions. Actual data from the Sina micro-blog is collected to construct the model by means of an approach based on structural equations that uses the Partial Least Squares (PLS) technique. Our experimental results indicate that the dimensions of the number of fans and their authority significantly impact the information of first-step conxrnunication. Leader rank has a positive impact on both first-step and non-first-step communication. Moreover, global centrality and weight of friends are positively related to the information non-first-step communication, but authority is found to have much less relation to it.

关 键 词:user influence information multi-step communication micro-blog structural equations 

分 类 号:TP393.092[自动化与计算机技术—计算机应用技术]

 

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