10 Airlines official micro-blog on the sina microblog platform as sample, airline official microblog influence is analysed. Six indexes, fans number, microblog open time; average daily microblog number, proportion of original microblog, average comment number and reposted number are used to found the principal component analysis model. Three principal components microblog activity, fans initiative and microblog innovation degree, contribute 84% of the total resources. Suggestions to improve airline microblog influence are given based on characteristics of the model.