The vertex-centric programming model is an established computational paradigm recently
incorporated into distributed processing frameworks to address challenges in large-scale …

Microblog platforms have been extremely popular in the big data era due to its real-time
diffusion of information. It's important to know what anomalous events are trending on the …

With the increasing availability of graph data and widely adopted cloud computing
paradigm, graph partitioning has become an efficient pre-processing technique to balance …

Many of today's large datasets are organized as a graph. Due to their size it is often
infeasible to process these graphs using a single machine. Therefore, many software …

Graph partition quality affects the overall performance of parallel graph computation
systems. The quality of a graph partition is measured by the balance factor and edge cut …

Graphs have been widely used for complex data representation in many real applications,
such as social network, bioinformatics, and computer vision. Therefore, graph similarity join …

Since Google introduced the first distributed graph computing system Pregel, many similar
systems are proposed. The distributed graph computing systems become a standard …

A well-balanced graph partition with small edge cut ratio is usually preferred because it cuts
down on the costly network communication cost. However, based on an empirical study …

The performance of parallel graph computation systems are greatly affected by the quality of
graph partition. The two main factors which are used to measure graph partition quality are …