Impact study and modeling of micro-blog users and messages
JIAN Guo-ming
LI Dong-mei
LI Shao-yong
ZHOU Bi-jiang
Abstract：Considering the influence of micro-blog users and micro-blogging news of a micro-blogging group, with micro-blogging users as the vertex, the vertex weighted directed graph model of the relationship between user concerns is established; Through the discussion of the user number of fans, the neighbor set of attention intensity, published or forwarded message factors, the impact factor V is defined, then using the AHP method to determine weight vector method, the influence of micro blogging users model is obtained; the total influence of users of Twitter to be turned, news to be released or forwarding of the number of users and the news was browsing the number of influencing factors are discussed; By determining the weight vectors, the news influence of micro-blogging model is obtained; In addition, the instance data of Nanjing Normal University in 2014 of math modeling contest was verified and solved, and ten big V micro-blogging influential users and the top ten most influential news were obtained.
Keywords：micro-blogimpact factorthe weightuser influencenews influence
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 1-4,64 )