In this paper, we investigate the current software architecture of Twitter searching, and propose a new Microblog Searching Module (MSM) to retrieve microblog messages. MSM mainly consists of three parts. The first one is community detection with Label-Influence-Algorithm (LIA). We have conducted series of experiments in two data sets downloaded from the Sina-Microblog. And the results show that the modularity measure Q of the communities discovered by LIA is well improved. The second one is extracting microblog tags of a microblog user and the community. The last part is designing a module to...
