Social network analysis with collaborative learning: A review

Abstract

When the information is needed to be categorized in the view of user conduct, the approach of social network analysis is considered. It is the process of studying social structures through the use of networks and graph theory. It has come up as a vital procedure in modern sociology. Among them, one of the most up-to-date methods of using SNA is the study of Computer-Aided Collaborative Learning (CSCL). SNA is used to recognize how learners work in area of quality, length, frequency, and volume and communication schemes when applied to CSCL. Alongside, SNA can focus on detailed features of the network connection or the complete network as a unit. It utilizes graphical representation, written illustration, and information outline to consider the links inside a CSCL network. While applying SNA to a CSCL domain, the individual discussions are managed as a social network. This article presents a systematic overview of the basic aspects of social network analysis and is based on their attributes and relationships. It also assists to measure social processes in collaborative learning experiences which is shown through a sample case study.