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The aim of this paper is to present methods to systematically analyzeindividual and group behavioral patterns observed in community drivendiscussion platforms like Reddit where users exchange information and views onvarious topics of current interest. We conduct this study by analyzing thestatistical behavior of posts and modeling user interactions around them. Wehave chosen Reddit as an example, since it has grown exponentially from a smallcommunity to one of the biggest social network platforms in the recent times.Due to its large user base and popularity, a variety of behavior is presentamong users in terms of their activity. Our study provides interesting insightsabout a large number of inactive posts which fail to gather attention despitetheir authors exhibiting Cyborg-like behavior to draw attention. We alsopresent interesting insights about short-lived but extremely active postsemulating a phenomenon like Mayfly Buzz. Further, we present methods to findthe nature of activity around highly active posts to determine the presence ofLimelight hogging activity, if any. We analyzed over $2$ million posts and morethan $7$ million user responses to them during entire 2008 and over $63$million posts and over $608$ million user responses to them from August 2014 toJuly 2015 amounting to two one-year periods, in order to understand how socialmedia space has evolved over the years.

Analyzing behavioral trends in community driven discussion platforms like Reddit