Algorithm of identifying opinion leaders in BBS

Opinion leaders play a very important role in online communities, which can guide the direction of public opinion. This paper proposes a method to identify opinion leaders, which combine the content influence with the emotion influence as the total influence. Then we take the result as the authority value as the weight of the link between users. On this basis, an algorithm named ISRank is proposed to identify the opinion leaders in BBS, and experiments indicate that ISRank algorithm can effectively improve the accuracy of mining opinion leaders.