Twitter UserRank using Hadoop MapReduce

Twitter is a very fast growing social networking site and has millions of users. Twitter user social relationship is based on the follower concept rather than the friend concept. Twitter users can be assigned ranks since followers can be represented using a social graph and the number of followers reflects influence propagation. In this paper, we have computed UserRank for Twitter data using Hadoop MapReduce framework. We further plan to compare and contrast the MapReduce computation of UserRank with a non-distributed approach, in terms of scalability, time, and fault tolerance.