关键词: 突现计算, Swarm模型, 用户影响力

Abstract:

As an important social media, many scholars have studied the influence of Weibo users, but most of the influence evaluation algorithms are based on the static attributes of users in Weibo topics or the behavioral characteristics of users after the occurrence of Weibo topics. Through the comprehensive analysis of repost, comment, like and combining with emergent computation model, this paper proposes a user influence sorting algorithm based on Swarm model. SMRank algorithm can calculate the influence of users in each time period during the occurrence of Weibo topics, which provides a new method to calculate the influence of users on Weibo topics. Based on the real SinaWeibo data, the results show that the SMRank algorithm can effectively find higher influence users and calculate the users’ influence at different moments.

Key words: emergent computation, Swarm model, user influence