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International Journal of Statistika and Mathematika, ISSN: 2277- 2790 E-ISSN: 2249-8605

Volume 8, Issue 3, January 2014 pp 87-92

Research Article

An Evaluation of Identify and Sharing Behaviour in Social Network Students Communities:

A Statistical Study

G. Manimannan¹, Aparna B. R.², G. Usha³

¹Assistant Professor, ^2,3Post Graduate Student, Department of Statistics

In this paper multi-level analysis was carried out among social networking behaviour of student’s communities. The primary data was collected from Bhavan’s Vivekananda College in Secunderabad (India) based interview method. Data were collected from primary sources containing 481 respondents using simple random sampling method. Those who never had a Facebook account did not participate in the survey. The data deals with demographic details, messaging, student’s favourite Facebook activity and user attitudes. The Facebook users, fifty seven percentages are male and forty three percentages are female. Most of the male and female students mention their real name, identifiable image on their Facebook profile. An undergraduates and post graduates students spend every day on Facebook and on the average the students has friends on the Facebook is 10 to 150. Gender and Class was significantly associated with profile name, image identification, time spend on Facebook and searching of the students. In addition, to found the hidden pattern of Facebook user’s activity and attitudes using k-means clustering technique and discriminant analysis.