Social Network Data Distribution Based on MapReduce and Genetic Algorithm

This research paper attempts to study the social network data distribution based on MapReduce and genetic algorithm. First, it introduces the proposal, principle and process of MapReduce, and then it uses MapReduce to perform distributed processing on social network data. Furthermore, it introduces the application and processing of genetic algorithm in social network data distribution analysis. Finally, MapReduce is used to strengthen the clustering calculation of genetic algorithm and improve the feasibility of the algorithm.