A Study on Traffic Analyses in Social Media Network of Twitter through Data Mining Techniques
M.C.S. Geetha1, K. Divya Sri2
1Ms. M.C.S. Geetha, Department of Computer Applications, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
2Ms. K. Divya Sri, MCA Student, Department of Computer Applications, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
Manuscript received on 12 December 2018 | Revised Manuscript received on 23 December 2018 | Manuscript Published on 09 January 2019 | PP: 208-211 | Volume-7 Issue-4S November 2018 | Retrieval Number: E2034017519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Social media helps to share the data around the globe. In this world, data is shared everywhere with the advent of social media, so that people from one place can share the data and their comments to others. Social Media provides comfortable way for sharing one information out of their interests. It can be used to contact their friends as well as making more friends and also search person with same kind of ideas and interests. It is very useful for any disasters occurred. At the time of tragedies social media paves a way for finding them and assist them. However sharing of the information in the social media like twitter, the traffic problem might be occurred due to heavy traffic. The social media user wants a minimum traffic to transmit the data without gap. In order to overcome this problem, this paper helps to study the comparison of various data mining techniques for smooth transfer of data.
Keywords: Social Media Twitter, Data Mining Technique, Content Sharing and Traffic Analyses.
Scope of the Article: Data Mining