The traditional microblog community detection algorithm has the characteristic of low coupled clustering and the overlapping degree can not be controlled.In this paper

we present a divisive approach for overlapping microblog community detection algorithm via core tags.Firstly

the key idea is to develop a tag weighing strategy by taking advantage of the co-occurrence of tags and inverse user frequency.Then tag correlation can be exploited

which investigates both inter and intra correlation of tags

and the tags for users can therefore be expanded.Users containing certain tag in the whole community are extracted as a temporary group and the quality value is calculated under the current partition.The most appropriate core tag is selected and the corresponding group is then updated until certain requirements are satisfied.The community detected by this algorithm share common core tags and the partition results can be revised based on the explicit and implicit interest of users

together with the users' attention and practical application.Experimental results show that the method is effective and has practical significance.