As the network technique is fast developing, the microblog has been a significantcarrier representing the social public opinions. Therefore, it is important to investigatethe propagation characteristics of the topics and to unearth the opinion leaders inMicro-blog network. The propagation status of the hot topics in the Micro-blog isinfluenced by the authority of the participating individuals. We build a time-varyingmodel with the variational external field strength to simulate the topic propagationprocess. This model also fits for the multimodal events. The opinion leaders areimportant individuals who remarkably influence the topic discussions in its propagationprocess. They can help to guide the healthy development of public opinion. We buildan AHP model based on the influence, the support, and the activity of a node, as wellas a microblog-rank algorithm based on the weighted undirected network, to unearthand analyze the opinion leaders’ characteristics. The experiments in the data, collectedfrom the Sina Micro-blog from October 2012 to November 2012 and from January 2013 to February 2013, showthat our models predict the trend of hot topic efficiently and the opinion leaders wefound are reasonable.
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