Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 2, Pages: 1-6
A.N. Arularasan and S. Koteeswaran
1Research Scholar, Department of Computer Science and Engineering, Vel Tech University, Chennai-62, TamilNadu, India. E- Mail: [email protected] 2Associate Professor, Department of Computer Science and Engineering, Vel Tech University, Chennai-62, TamilNadu, India. E- Mail: [email protected]
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.
Keywords: Social Network, Information hub, influence maximization, influential node, Viral Marketing.
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