Mining components of micro-blogging user Influence and their correlations

Measuring micro-blogging user influence is very important both in economic and social fields. In this paper, we detailedly discuss the components of user influence. Considering the time affect, TAC(time-effectiveness attenuation coefficient) is proposed when generating user influence which consists of post influence and follow influence. We also discuss the correlation between the two kinds of influences by use of Spearman's rank correlation coefficient. After a series of experiments, we believe that our method is more accurate and comprehensive when measuring the influences of micro-blogging users.