摘要：Traditional social network has a glittering array of demerits such as low speed as well as low efficiency. This paper comes up with social network behavior search algorithm based on Hadoop Cloud Computing, which mainly adds impact factors, time arrow and page correlation factors into digging factors so as to improve the performance of digging computing and the search efficiency. The experiment proves that the computing has good effect and has instructive significance for user analysis of Cloud Computing.
