Recognition of Opinion Leaders in Microblog Based on Rough Set and AHM

Traditionally, there are two general types of methods to seek for an opinion leader, which are index weighting method and digging of social network structure. But simply relying on index weighting method to find an opinion leader would be affected by the subjective idea of the opinion leaders, while the method of digging out social network structure is also limited due to the seeming invisible relationship among the users and the unreliable evaluation of the other quality of the users. The article brings up an integrated index weighting algorithm based on rough set and AHM algorithm judging from the goods and weakness of the methods mentioned above. In this way, it is possible to have an integrated index of both subjective and objective standard to judging on the potential opinion leaders in the meantime avoiding the disadvantages of using one single method. The article has some exemplification research on certain hot hits on Weibo. By comparing the output of the three methods, it is concluded that this methods is featured as simple and objective.