Community Detection Algorithms Tools and Applications

Now day Computer Science made a great effort to analyze large data and provided many network analysis algorithms. With the growth of Social Networks, the size of data on these networks increased rapidly. Finding the Community structures in these networks become a prominent area of research due to its applications in different areas. This paper presents a survey of different community detection algorithms proposed by different researchers and their applications in different fields. This paper highlighted the different areas where these community detection methods can be used like Health care, politics, recommendation system, e-commerce, economics, communication networks, and social networks. The motivation for writing this paper is to categorize all the published community detection algorithms and compare them to identify pros and cons of the algorithms. The paper is also showing progressing research work done by the different researchers in this field. At the end of the paper, the difference between community detection and clustering is discussed to clear these two data science concepts. This paper also presents different Social Network Analysis tools used by different researchers in their research.