Mining Community-Level Influence in Microblogging Network: A Case Study on Sina Weibo

Algorithm 1

Eliminating zombie fans.

(1) Input: , , , , , ,

(2) Output:

(3) Select the users who are the last 10% of the login frequency and whose login

time interval is greater than 7 days, into the set

(4) Put the users with the top 10% of the diffusing advertisement frequency into

the set

(5) Select the users who are the last 10% of the number of user’ theme

information into the set

(6) Put the users with the top 10% of the attention users into the set

(7) Put the users with the number of fans between 10–200 into the set

(8)

(9) Update and

(10) return  ,