Social Network Analysis is one of the extensively analysed and researched areas in the current era. Due to the advancements in technology and hence the incremented count of Internet users, this field has gained remarkable attention in the past few years. The massive, noisy and unstructured nature of online datasets that are generating every minute from social networking profiles, blogs, comments, reviews in form of thumbs up and thumbs down, star ratings has posed great challenges for researchers and analysts in order to mine quality facts. The outcomes from the mining of this data expedite and improve the decision forming process. This paper outlines the different issues and the subfields that can be considered as part of Social Network Analysis and need to be studied .It also presents the related algorithms and techniques defined earlier.

Data Mining, Influence Propagation, Recommender System, Opinion Mining, Link Analysis, Community Detection, Sentiment Analysis

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