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Algorithm to Monitor Suspicious Activity on Social Networking Sites using Data Mining Techniques

by Suhas Pandhe, Sahil Pawar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 116 - Number 12
Year of Publication: 2015
Authors: Suhas Pandhe, Sahil Pawar

Suhas Pandhe, Sahil Pawar . Algorithm to Monitor Suspicious Activity on Social Networking Sites using Data Mining Techniques. International Journal of Computer Applications. 116, 12 ( April 2015), 35-40. DOI=10.5120/20391-2670

@article{ 10.5120/20391-2670,
author = { Suhas Pandhe, Sahil Pawar },
title = { Algorithm to Monitor Suspicious Activity on Social Networking Sites using Data Mining Techniques },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 116 },
number = { 12 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 35-40 },
numpages = {9},
url = { },
doi = { 10.5120/20391-2670 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:56:57.891082+05:30
%A Suhas Pandhe
%A Sahil Pawar
%T Algorithm to Monitor Suspicious Activity on Social Networking Sites using Data Mining Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 116
%N 12
%P 35-40
%D 2015
%I Foundation of Computer Science (FCS), NY, USA

In today's world social networks have become a platform to express opinions or feelings related to current events or any other topics. But sometimes provocative posts related to renowned people, religion, sexuality, countries or any other sensitive topics create havoc in the society. Such posts must be administered and removed before they spread and hurt people's feelings resulting into tension in the society and possible riots. This paper discusses about the techniques to identify such suspicious posts and report them to curb the spread of provoking posts.

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Index Terms

Computer Science
Information Sciences


Data mining Data Analysis ID3 Decision Tree