Predictive Analysis of Facebook using WEKA

Main Article Content

Raghvendra Singh, Veenu Yadav, Dilip Kum

Abstract

Web-based social networks have become more prevalent as a medium for connecting like-minded people. The public accessibility of such social networks with the capability to share information, thoughts, opinions, and experience offers great potential to mankind and organizations. Social network has gained amazing attention in the last decade. Accessing social network sites such as Facebook, Google+, Twitter and LinkedIn through the internet and the web 2.0 technologies has become more affordable. Facebook is social networking service on which after registering on the the site, users can create their profile, add other users as friends, interchange messages, post status updates, photos, and share videos etc. People are more interested in and relying on Facebook for information, news and opinion of other users on various subject matters. Based on the data available for the facebook, the number of profiles has increasing expressively but with the fast growth of users, fake profiles/users have also grown. The WEKA data mining tool was used by performing adjustments of the attributes in order to come up with a decisive output. This paper presents the comprehensive review of social network and the trustworthiness of social networks.

Article Details

How to Cite
, R. S. V. Y. D. K. (2018). Predictive Analysis of Facebook using WEKA. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 4(4), 831–834. Retrieved from https://ijfrcsce.org/index.php/ijfrcsce/article/view/1621
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