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Algorithm to Monitor Suspicious Activity on Social Networking Sites using Data Mining Techniques
| 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 |
10.5120/20391-2670
|
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
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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