An Application of Collaborative Data Mining in Social Network for Viral Marketing
 | International Journal of Computer Trends and Technology (IJCTT) |  |
| © - Issue 2013 by IJCTT Journal | ||
| Volume-4 Issue-2 | ||
| Year of Publication : 2013 | ||
| Authors :Shalini Sharma,Vishal Shrivastava. |
Shalini Sharma,Vishal Shrivastava."An Application of Collaborative Data Mining in Social Network for Viral Marketing"International Journal of Computer Trends and Technology (IJCTT),V4(2):142-147 Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract: -Data mining is a process which finds useful patterns from large amount of data. Data mining having various algorithms and techniques. The proposed work focus on clustering application “Collaborative data mining” which aims at mining the subgroups from some networks in the form of graphs, such as social networks. The nodes belonging to the subgroup having strong tie have most of the features in common. In this work using social network, two type of clusters are developed using data mining algorithms, one having strong tie and other having a weak tie between members and then the cluster with strong tie is used for discovering the highly influential node for viral advertising using target marketing to increase the profit with less advertising expense.
References-
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Keywords—Data mining, Collaborative mining, Social network, Viral marketing.