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

Suhas Pandhe; Sahil Pawar

Research Article

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 - Issue 12

Published: April 2015

Authors: Suhas Pandhe, Sahil Pawar

10.5120/20391-2670

PDF

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 },
                        year    = { 2015 },
                        volume  = { 116 },
                        number  = { 12 },
                        pages   = { 35-40 },
                        doi     = { 10.5120/20391-2670 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }

                        %0 Journal Article
                        %D 2015
                        %A Suhas Pandhe
                        %A Sahil Pawar
                        %T Algorithm to Monitor Suspicious Activity on Social Networking Sites using Data Mining Techniques%T 
                        %J International Journal of Computer Applications
                        %V 116
                        %N 12
                        %P 35-40
                        %R 10.5120/20391-2670
                        %I Foundation of Computer Science (FCS), NY, USA

Abstract

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

No index terms available.

Keywords

Data mining Data Analysis ID3 Decision Tree