The online social network plays a vital role in the day to day life for much purpose. It has been found that the web is used as a tool by many hate groups or extremist groups to promote various kinds of ideologies and practice several kinds of acts. Some of the web forums are being used for open discussions on critical issues influenced by various radical thoughts. In the web forums the influential users have control and dominate the newly joined innocent users through their radical thoughts. In this paper we have proposed an approach to identify the ranked list of influential users and designed an algorithm based on page rank to rank the radically influential users. The Contingency Coefficient measure is found as the most promising measure, when embedded in the customized Page Rank algorithm along with the radicands measure. The collocation measure deals with such ranking problem more effectively than textual and temporal similarity based measures. We have formulated a new measure Sentiment Analysis. It is the process of determining whether a piece of writing is positive, negative or neutral. It's also known as opinion mining, deriving the opinion or attitude of a speaker to eliminate the radical activities.