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Prediction of Collective Behavior in Live Social Media
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 95 - Number 18 |
| Year of Publication: 2014 |
| Authors: Kanchan U. Jadhav, Nalini A. Mhetre |
10.5120/16692-6816
|
Kanchan U. Jadhav, Nalini A. Mhetre . Prediction of Collective Behavior in Live Social Media. International Journal of Computer Applications. 95, 18 ( June 2014), 8-11. DOI=10.5120/16692-6816
Abstract
Human interest is the precious thing in the present world. Currently, online social networks such as Facebook, Twitter, Google+, LinkedIn, and Foursquare have become extremely popular all over the world and play a significant role in people's daily lives. Social media has provided simple communication and propagation of data, normally, through commenting, sharing and publishing. Now a day's social networking site performs more important activity for businesses or social work. If the interest of the user is already known then it can be easy target for any business or social activity. So it is important to find out behavior or interest of the users. This work, intend to predict behavior of users in social media. Therefore our proposed system is going to show the behavior of the social networking user by extracting the online social networking data. Then construction of node graph and community graph to forms the grouping of similar behavior users. And then perform the clustering and classification for getting more accurate behavioral result of user.
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