Abstract: A method for determining an optimum targeted path from a source user to a target user across social networks includes classifying users connected to the source user into source positive influencers, source zero influencers, and source negative influencers, classifying users connected to the target user into target positive influencers, target zero influencers, and target negative influencers, removing the source zero influencers, the source negative influencers, the target zero influencers, and the target negative influencers from pools of users, compiling a list of each combination of the source positive influencers and the target positive influencers, performing the influence analytics to determine an influence level for each the combination of the source positive influencers and the target positive influencers, assigning a weight to each the combination of the source positive influencers and the target positive influencers based on the influence level, and determining the optimum targeted path based on the

Abstract: A processor implemented method for identifying and segmenting a plurality of online users based on a level of engagement with respect to at least one user group is provided. The method includes obtaining, information associated with one or more user from one or more user groups, computing, one or more parameter of one or more user based on the information associated with the one more user, dynamically obtaining, a score for the one or more user based on one or more parameter, and segmenting, the plurality of online users from the one or more user groups based on the score for the one or more user to obtain a subset of the plurality of online users from the one or more user group including (a) a highest first level of engagement, (b) a second highest level of engagement, and (c) a third highest level of engagement.