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As an important technique in modern sociology, social network analysis has gained a lot of attention from many disciplines, and been used as important complements to traditional statistics and data analysis. In order to make it affordable for analysts with massive and fast growing networks, we present X-RIME, a cloud-based library for large scale social(More)
In this paper, we address the problem caused by fixed assignment of task slots in Hadoop MapReduce. It is infeasible to manually configure optimal task slots since the characteristics of various workloads are different. We design and implement an automatic control mechanism to dynamically assign task slots based on the resource utilization on each Task(More)
In this paper, we present a community-detection solution for massive-scale social networks using MapReduce, a parallel programming framework. We use a similarity metric to model the community probability, and the model is designed to be parallelizable and scalable in the MapReduce framework. More importantly, we propose a set of degree-based preprocessing(More)
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