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Reseach Article

Target Advertisement based on Cohesive Structure in a Social Network

by Umasankar Das, Girija Prasad Mohapatra, Kunal Shrivastava
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 77 - Number 2
Year of Publication: 2013
Authors: Umasankar Das, Girija Prasad Mohapatra, Kunal Shrivastava
10.5120/13363-0957

Umasankar Das, Girija Prasad Mohapatra, Kunal Shrivastava . Target Advertisement based on Cohesive Structure in a Social Network. International Journal of Computer Applications. 77, 2 ( September 2013), 1-6. DOI=10.5120/13363-0957

@article{ 10.5120/13363-0957,
author = { Umasankar Das, Girija Prasad Mohapatra, Kunal Shrivastava },
title = { Target Advertisement based on Cohesive Structure in a Social Network },
journal = { International Journal of Computer Applications },
issue_date = { September 2013 },
volume = { 77 },
number = { 2 },
month = { September },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume77/number2/13363-0957/ },
doi = { 10.5120/13363-0957 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:49:10.647185+05:30
%A Umasankar Das
%A Girija Prasad Mohapatra
%A Kunal Shrivastava
%T Target Advertisement based on Cohesive Structure in a Social Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 77
%N 2
%P 1-6
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we propose a model that utilizes the concept of social networking for target advertising of various products. This approach examines the cohesive subgraph structure within a network and model a recommendation system for target advertising. We test the proposed model using synthetic data and our model can help the advertising company to advertise the products at those nodes only, where the user have the interest in that product. This will effectively reduce the advertisement cost.

References
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Index Terms

Computer Science
Information Sciences

Keywords

SNA NN ANN Cardinality cohesive Social network Targeted advertising Recommender system Knowledge discovery