The impact of using social network on academic performance by using contextual and localized data analysis of facebook groups

Author Affiliation

Nasir Touheed is Professor at Institute of Business Administration (IBA), Karachi

Faculty / School

Faculty of Computer Sciences (FCS)

Department

Department of Computer Science

Was this content written or created while at IBA?

Yes

Document Type

Article

Source Publication

International Journal of Advanced Computer Science and Applications

ISSN

2158-107X

Disciplines

Computer Sciences

Abstract

Social Networks due to their intrinsic nature of being addictive have become an integral part of our civilization and plays an important role in our daily interactions. Facebook being the largest global online network, is used as a primary platform for carrying out our study and hypothesis testing. We built a web crawler for data extraction and used that data for our analysis. Primary goal of this study is to identify patterns among members of a Facebook group using a contextual and localised approach. We also intend to validate some hypotheses using a data driven approach like comparison of student's social participation and activeness with actual class participation and its impact on his/her grades. We have also used user interactions in Facebook groups for identifying close relationships. The polarity of content in a group's comments and posts defines a lot about that group and is also conferred in this paper.

Indexing Information

Scopus, Web of Science - Emerging Sources Citation Index (ESCI)

Publication Status

Published

Link to Full Text

Share

COinS