A Large-Scale Graph Learning Framework of Technological Gatekeepers by MapReduce

MapReduce based graph learning algorithm is applied to the identification of technological gatekeepers in large-scale technological information flow network across large number of enterprises of several industries. Experiments show that the efficiency of Multi Adjacency Matrix algorithm is one time higher than PEGASUS. The effects of the number of cluster nodes and input file formats on the performance of the algorithm are also studied.