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The Evaluation Model Research on Information Dissemination Influence of Micro-blog Individual |
Lin Chen1,2 |
1. Department of Military Information Management, Shanghai Branch of Nanjing Institute of Politics, Shanghai 200433, China; 2. Post-doctoral Mobile Stations, Shanghai Branch of Nanjing Institute of Politics, Shanghai 200433, China |
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Abstract [Objective] Forwarding number is usually as the one and only criterion in Micro-blog individual evaluation of information dissemination influence. When individual increases forwarding number using ‘buying fans’, evaluation result can't reflect its true influence. [Methods] From the perspective of dissemination results, this paper redefines propagation depth, speed and gives quantitative methods, combined with the forwarding number (propagation breadth) together as evaluation dimensions, constructs evaluation model based on dimensions. [Results] Experimental results show that compared forwarding number, the new model can truly reflect the individual information dissemination influence, in particular, can distinguish the difference between individuals with the same forwarding number. [Limitations] Experimental data is obtained by using Weibo API, but how much data returned is limited. To get the full dissemination of data, the experiment selects individuals that forwarding number of its information is lower than 2 000. But the model is not affected by data size, while data integrity should be ensured for using. [Conclusions] This paper provides a new, more accurate information dissemination influence evaluation model with strong theoretical and practical value.
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Received: 22 October 2013
Published: 06 March 2014
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