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fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Stepanyan, Karen; Borau, Kerstin; Ullrich, Carsten (2010)
Languages: English
Types: Unknown
Subjects: LB2300, L1, QA76
This paper summarises the analyses of participant interaction within the Twitter microblogging environment. The study employs longitudinal probabilistic social network analysis (SNA) techniques to identify the patterns and trends of network dynamics. It explores the associations of student achievement records with the observed network. The results indicate tendencies towards: [i] reciprocal interaction; and [ii] adoption of a selective approach in communication over time, implying that students tend to communicate with fewer peers over time. The evaluations that examine achievement score attributes indicate [iii] network homogeneity and popularity effects associated to achievement scores – suggesting greater interaction among students of similar levels and more attention to higher achieving students.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] K. Borau, C. Ullrich, J. Feng, and R. Shen, "Microblogging for Language Learning: Using Twitter to Train Communicative and Cultural Competence," 2009, p. 87.
    • [2] P. Chen, R. Gonyea, and G. Kuh, "Learning at a distance: Engaged or not," Innovate, 2008.
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    • [7] C. Haythornthwaite, "Social Network Methods and Measures for Examining E-learning," Social Networks, 2005.
    • [8] T. A. B. Snijders, "The Statistical Evaluation of Social Network Dynamics," Sociological Methodology, vol. 31, pp. 361-395, 2001.
    • [9] C. Steglich, T. A. B. Snijders, and P. West, "Applying SIENA: An Illustrative Analysis of the Coevolution of Adolescents' Friendship Networks, Taste in Music, and Alcohol Consumption," Methodology, vol. 2, pp. 48-56, 2006.
    • [10] T. A. B. Snijders, C. E. G. Steglich, M. Schweinberger, and M. Huisman, "Manual for SIENA, version 3," Groningen, The Netherlands: University of Groningen, 2006.
    • [11] M. McPherson, L. Smith-Lovin, and J. M. Cook, "Birds of a Feather: Homophily in Social Networks," Annual Reviews in Sociology, vol. 27, pp. 415-444, 2001.
    • [12] T. Snijders, C. Steglich, and M. Schweinberger, "Modeling the coevolution of networks and behavior," Longitudinal models in the behavioral and related sciences, pp. 41-71, 2007.
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