Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  investigate features and propose a method to identify influential users on Sina-ibo, one of the most famous micro-blogging services in China.  first investigate features such as users' follor number distribution, relation beten ibo number and follor number and analysis of user interaction. Due to the existing methods are not very comprehensive in measuring the influence of user,  propose a new model. In which,  take the three basic actions: following, reteting and commenting into consideration. Based on the ight and networks of them,  construct a ighted network, then employ ighted PageRank and Hypertext Induced Topic Selection algorithm to calculate user influence. Compared with other two methods, the experiment results suggest that our model offers a new way to identify influential user, and it is more comprehensive and stable than the other two.
['Yong Zhang', 'Jiaqin Mo', 'Tingting He']
I am writing a research paper on a idea User influence analysis on micro blog
[{"from": "human", "value": "I am writing a research paper on a idea User influence analysis on micro blog"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  investigate features and propose a method to identify influential users on Sina-ibo, one of the most famous micro-blogging services in China.  first investigate features such as users' follor number distribution, relation beten ibo number and follor number and analysis of user interaction. Due to the existing methods are not very comprehensive in measuring the influence of user,  propose a new model. In which,  take the three basic actions: following, reteting and commenting into consideration. Based on the ight and networks of them,  construct a ighted network, then employ ighted PageRank and Hypertext Induced Topic Selection algorithm to calculate user influence. Compared with other two methods, the experiment results suggest that our model offers a new way to identify influential user, and it is more comprehensive and stable than the other two."}]