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Aiming at the problems of current edge cache strategy with high transmission delay and insufficient user social relation in small areas, this paper proposed an edge cache strategy based on social relation perception which combined with average popularity of hot content and user interest. Firstly, according to the average popularity of hot content and the interest of users, this paper estimated the needs of users. The similarity of users' demands reflected the strength of users' social relationships. Then, it selected the user as the secondary cache location based on the relationship strength of the user. Finally, considering the selection of cache location and user requirements, this paper proposed a joint cache strategy with base station cooperative cache and user-assisted cache. Simulation results show that the proposed caching strategy is superior to the traditional ones with regard to the cache hit ratio and system cache delay. [ABSTRACT FROM AUTHOR]