Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/1796
Title: Visualizing and Analyzing Productive Structures and Patterns in Online Communities Using Multilevel Social Network Analysis
Authors: Teo, Jie
Johri, Aditya
Mitra, Raktim
Issue Date: Jun-2013
Publisher: International Society of the Learning Sciences
Citation: Teo, J., Johri, A., & Mitra, R. (2013). Visualizing and Analyzing Productive Structures and Patterns in Online Communities Using Multilevel Social Network Analysis. In Rummel, N., Kapur, M., Nathan, M., & Puntambekar, S. (Eds.), To See the World and a Grain of Sand: Learning across Levels of Space, Time, and Scale: CSCL 2013 Conference Proceedings Volume 2 — Short Papers, Panels, Posters, Demos & Community Events (pp. 173-176). Madison, WI: International Society of the Learning Sciences.
Abstract: What does the social network structure of productive online communities look like? We present findings from a study that examined this question in the context of a popular Java programming help forum. Using techniques informed by social network analysis, we leveraged GephiTM to visualize the social network of the online community and identified a core group of active help-givers central to the community. We then performed network motif analysis and found that a small selection of network motifs or patterns constitute the main building blocks of the entire network..
URI: https://doi.dx.org/10.22318/cscl2013.2.173
https://repository.isls.org//handle/1/1796
Appears in Collections:CSCL 2013

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