International Journal of Science and Technology

International Journal of Science and Technology>> Volume 7, Number 9, September 2017

International Journal of Science and Technology

A Fine Grained Technique for Viral Marketing based on Social Network: A Machine Learning Approach

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Author Debajyoti Karmaker, Hafizur Rahman, Mohammad Saiedur Rahaman, Md. Kamrul Bari
On Pages 89-95
Volume No. 1
Issue No. 2
Issue Date August 01, 2011
Publishing Date August 01, 2011
Keywords Decision tree, Decision rule, Post Pruning, Viral marketing, Machine learning, Entropy.


Social networking sites are the platform to share familiar interest, and it is free of charge. But the e-commerce made it possible for the Social applications (specially the games) a potential business sector for different game development firms. Collectively the main focus of Facebook applications is to connect a user with a network and to do so the games are initially free of cost. Although the developing firms can make profit with it but the main earnings are from virtual currency (e-commerce) by providing extra benefits with the game. The problem is to identify and segmenting the potential buyer for a game and how to do marketing. This research presents a machine learning approach to generate some efficient rule based decision for viral marketing. 

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