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Impact of user influence on information multi-step communication in micro-blog |
Wu Yue (吴越), Hu Yong (胡勇), He Xiao-Hai (何小海), Deng Ken (邓垦) |
College of Electronics and Information Engineering, Sichuan University, Chengdu 610064, Chine |
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Abstract User influence is generally considered as one of the most critical factors that affect the information cascading spreading. Based on the common assumption, this paper proposes a theoretical model to examine the force from user influence on the information multi-step communication in micro-blog. Multi-step of information communication is divided into first-step and non-first-step, and user influence is classified into five dimensions. Actual data from Sina micro-blog is collected to construct the model by means of an approach based on structural equations with Partial Least Squares (PLS) technique. Experimental results indicate that the dimensions of number of fans and authority significantly impact the information first-step communication. 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.
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Received: 22 August 2013
Revised: 27 November 2013
Accepted manuscript online:
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PACS:
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01.10.-m
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(Announcements, news, and organizational activities)
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02.50.-r
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(Probability theory, stochastic processes, and statistics)
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89.75.Hc
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(Networks and genealogical trees)
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Fund: Project supported by the National Natural Science Foundation of China (Grant No. 60873246) and China Information Technology Security Evaluation Center. |
Corresponding Authors:
Hu Yong
E-mail: huyong@scu.edu.cn
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About author: 2014-4-15 |
Cite this article:
Wu Yue (吴越), Hu Yong (胡勇), He Xiao-Hai (何小海), Deng Ken (邓垦) Impact of user influence on information multi-step communication in micro-blog 2014 Chin. Phys. B 23 060101
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Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
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