Abstract: Social Network is a network of individuals connected by interpersonal relationships. A social network data refers to the data generated from people socializing on this social media. This user generated data helps to examine several assets of the socializing community when analyzed and mined. Data mining is the process of analyzing data from different perspectives for finding unknown insights. Association Rule mining, one of the significant task of data mining helps in the discovery of associations, correlations in social networks. This paper presents an approach of extracting associations between the contents of Social Network Data using Apriori Algorithm based on MapReduce framework which is a programming model working in parallel form to find frequent itemsets for the Social Network data and then makes use of Genetic Algorithm for generating association rules from the frequent itemsets. Here Genetic Algorithm is used as an optimization technique to generate Association Rules.
Keywords: Data mining, Genetic Algorithm, Apriori Algorithm, Association rules, MapReduce.