A Study on Influential Evaluation of Information Hubs in Social Networks

Objectives: The objective of the work is to identify the most influential nodes and to classify the information hubs in the social network in promoting the viral marketing.  Methods: N-gram model classification approach is used for categorizing the information hubs of different domains.  Findings: The proposed method aims at estimating influence of each user in the network and categorizes the information hubs by using domain based classification to advertise a product in a social network.  Applications/Improvements: The work can further be extended to slice the longer string into N characters to measure the similarity value depending on the set of characters between words and relationship among them.