Abstract: On the basis of static and dynamic features of social network, we studied community mining problemin social network. We introduced the concept of limbic Ξ coefficient and closed threshold value etc., and Dets tructure algorithm for static social network. Focusing on the dynamic nature of social n etwork, weproposedthe amalgamation mining algorithm based on the attenuation strategy. Both the algorithms have made good results in application.

Key words: static social network, community mining, dynamic social network