Social Networking Analysis: A case study in Tools
Tushar Kaushik1, Sarthak Singhal2, Jayant Mandan3, Kamlesh Sharma4
1Tushar Kaushik, B.Tech-4th Year, students, Department of Computer Science and Engineering, FET Manav Rachna International Institute of Research and Studies, Faridabad (Haryana), India.
2Sarthak Singhal, B.Tech-4th Year, students, Department of Computer Science and Engineering, FET Manav Rachna International Institute of Research and Studies, Faridabad (Haryana), India.
3Jayant Mandan, B.Tech-4th Year, students, Department of Computer Science and Engineering, FET Manav Rachna International Institute of Research and Studies, Faridabad (Haryana), India.
4Dr. Kamlesh Sharma, Associate Professor, Department of Computer Science and Engineering, FET Manav Rachna International Institute of Research and Studies, Faridabad (Haryana), India.
Manuscript received on 18 December 2018 | Revised Manuscript received on 27 December 2018 | Manuscript published on 30 December 2018 | PP: 52-57 | Volume-8 Issue-2, December 2018 | Retrieval Number: B5537128218/18©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© 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 network sites like Twitter, fb, and Google Hangouts appear like the highest visited sites at the net. They contain a large volume of dependent, semi-dependent and unstructured information about the users and additionally the relationships amongst them. The analysis of such great amount of knowledge could be a difficult issue. huge information forms an easy/straightforward means through that it becomes easy to scale, diversify, and interactively analyze this vast quantity of knowledge that has many billions of rows and columns among the tables. To perform cost-efficient method of such sizable quantity of information, special graph based tools for mining are required so one can definitely shape the social web. A lot of such tools for analysisare accessible with their own alternatives and advantages. Selecting associate degree applicable tool for a selected task is tough to make your mind up. This paper focuses on numerous graphics tools which could be used to extract/analyze a great amount of knowledge
Keywords: Component; Formatting; Style; Styling; Insert (Key Words)
Scope of the Article: Component-Based Software Engineering