Social network analysis of self-taught e-learning communities

The technique of Social Network Analysis (SNA) has been for years used extensively in the fields of sociology and communication research. Recently however, SNA has been extended to study online communication and virtual communities. In this paper, we have used SNA to analyse the social networks that have formed around a self-taught e-learning community. In traditional face-to-face learning environments, the students are part of a classroom where there is a teacher who presents the lectures and supervises the communication interactions. But what happens when the learning takes place online and there is no teacher to mentor the process? We have carried out SNA on such a community with the aim of discovering what roles, groups and characteristics the students take on when there is no teacher present and discuss the implications of our results.

[1]  L. Freeman.  Centrality in social networks conceptual clarification , 1978 .

[2]  T B Jankowski,et al.  Participatory design of an Internet-based information system for aging services professionals. , 1998, The Gerontologist.

[3]  Samuel Leinhardt,et al.  Roles and Positions: A Critique and Extension of the Blockmodeling Approach , 1983 .

[4]  Frank Harary,et al.  Graph Theory , 2016 .

[5]  Martin G. Everett,et al.  Two algorithms for computing regular equivalence , 1993 .

[6]  Steven B. Andrews,et al.  Structural Holes: The Social Structure of Competition , 1995, The SAGE Encyclopedia of Research Design.

[7]  Panayiotis Zaphiris,et al.  Design methodology of an online greek language course , 2001, CHI Extended Abstracts.

[8]  Linton C. Freeman,et al.  The gatekeeper, pair-dependency and structural centrality , 1980 .

[9]  John M. Roberts.  Simple methods for simulating sociomatrices with given marginal totals , 2000, Soc. Networks.

[10]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994 .

[11]  Gilad Ravid,et al.  Cohesion and roles: network analysis of CSCL communities , 2003, Proceedings 3rd IEEE International Conference on Advanced Technologies.

[12]  Blake Ives,et al.  An empirical study of the impact of user involvement on system usage and information satisfaction , 1986, CACM.

[13]  H. White,et al.  “Structural Equivalence of Individuals in Social Networks” , 2022, The SAGE Encyclopedia of Research Design.

[14]  Vladimir Batagelj,et al.  Exploratory Social Network Analysis with Pajek , 2005 .

[15]  R. Darrell Bock,et al.  An Adaptation of Holzinger's B-Coefficients for the Analysis of Sociometric Data , 1950 .