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.
 2009, Association for the Advancement of Artificial Intelligence(www.aaai.org)Nitin Agarwal, Huan Liu, Sudheendra Murthy, Arunabha Sen, and Xufei Wang- A Social Identity Approach to Identify Familiar Strangers in a Social Network.
 2002 ACM, Matthew Richardson and Pedro Domingos- Mining Knowledge-Sharing Sites for Viral Marketing.
 2009, Sudipto Das Ömer E?gecio?glu Amr El Abbadi- Anonymizing Edge-Weighted Social Network Graphs.
 ISSN : 0976-5166, Vol. 1 No. 4 301-305, Mrs. Bharati M. Ramageri- Data Mining Techniques And Applications.
 WWW. Prenhall.com/Koter- Marketing Management.
 Han Kamber Pei(Data Mining).
Keywords—Data mining, Collaborative mining, Social network, Viral marketing.