SNAPP is a software tool that allows users to visualize the network of interactions resulting from discussion forum posts and replies. The network visualisations of forum interactions provide an opportunity for teachers to rapidly identify patterns of user behaviour – at any stage of course progression. SNAPP has been developed to extract all user interactions from various commercial and open source learning management systems (LMS) such as BlackBoard (including the former WebCT), and Moodle. SNAPP is compatible for both Mac and PC users and operates in Internet Explorer, Firefox and Safari.
Most of the student data generated from Learning Management Systems (LMS) include reports on the number of sessions (log-ins), dwell time (how long the log-in lasted) and number of downloads. This tells us a lot about content retrieval in a transmission model of learning and teaching, but not about how students are interacting with each other in more socio-constructivist practice. Discussion forum activity is a good indicator of student interactions and is systemically captured by most LMS. SNAPP uses information on who posted and replied to whom, and what major discussions were about, and how expansive they were, to analyse the interactions of a forum and display it in a Social Network Diagram. The following figures illustrate how SNAPP re-interprets discussion forum postings into a network diagram.
visone is a software for the visual creation, transformation, exploration, analysis and representation of network data, jointly developed at the University of Konstanz and the Karlsruhe Institute of Technology since 2001.
ThinkUp is a free, open source web application that captures your posts, tweets, replies, retweets, friends, followers and links on social networks like Twitter and Facebook.
With ThinkUp, you can store your social activity in a database that you control, making it easy to search, sort, analyze, publish and display activity from your network. All you need is a web server that can run a PHP application.
This page contains information about the International Network for Social Network Analysis and related subjects. Here you will find Social Networks information, reference sources, software, membership services and links to related content.
Social Networks nach Regionen Deutschland, Deine Netzwerke!,Alles nur Facebook und StudiVZ? Von wegen - die Deutschen zeigen bei sozialen Netzwerken ganz regionale Vorlieben. Vor allem der Süden mag es extravagant. <i>In Bildern.</i>
Entrance into the tools which enables massive feed processing, only thing missing is the realtime semantic annotation of the filtered feeds; Introduces activity streams for me, which seams like an opportunity to set up service networks
NetMiner is an innovative software tool for Exploratory Analysis and Visualization of Network Data. NetMiner allows you to explore your network data visually and interactively, and helps you to detect underlying patterns and structures of the network
H. Nguyen, D. Bozhkov, Z. Ahmadi, N. Nguyen, and T. Doan. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, (July 2022)
N. Weibel, L. Cowan, L. Pina, W. Griswold, and J. Hollan. Adjunct Proceedings of the 23Nd Annual ACM Symposium on User Interface Software and Technology, page 405--406. New York, NY, USA, ACM, (2010)Poster.
M. Atzmueller, L. Thiele, G. Stumme, and S. Kauffeld. Proc. Annual Machine Learning Conference of the Benelux (Benelearn 2017), Eindhoven, The Netherlands, Eindhoven University of Technology, (2017)
M. Atzmueller, L. Thiele, G. Stumme, and S. Kauffeld. Proc. Annual Machine Learning Conference of the Benelux (Benelearn 2017), Eindhoven, The Netherlands, Eindhoven University of Technology, (2017)
M. Atzmueller. Proc. ECML/PKDD 2014: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, volume 8726 of LNCS, page 485--488. Heidelberg, Germany, Springer Verlag, (2014)
M. Atzmueller, S. Bobek, M. Kibanov, and G. Nalepa. Proceedings of the 2014 International Smart University Workshop (SmartU 2014), London, UK, London, UK, (2014)
Gunjal, and Bhojaraju. Proceedings of International Conference on What Next in Libraries (WNL-2K15), January 21-23, Silchar, NIT Silchar, Assam, (2015)
M. Atzmueller, L. Thiele, G. Stumme, and S. Kauffeld. Proc. Annual Machine Learning Conference of the Benelux (Benelearn 2017), Eindhoven, The Netherlands, Eindhoven University of Technology, (2017)