Abstract
A framework, the IGCV (Identification, Grouping, Clustering and Visualisation) framework, is described to support the temporal analysis of social network data. More specifically the identification and visualisation of “traffic movement” of patterns in such networks, and how such patterns change over time. A full description of the operation of IGCV is presented, together with an evaluation of its operation using a cattle movement network.
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Nohuddin, P.N., Sunayama, W., Christley, R., Coenen, F., Setzkorn, C. (2011). Trend Mining and Visualisation in Social Networks. In: Bramer, M., Petridis, M., Nolle, L. (eds) Research and Development in Intelligent Systems XXVIII. SGAI 2011. Springer, London. https://doi.org/10.1007/978-1-4471-2318-7_21
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DOI: https://doi.org/10.1007/978-1-4471-2318-7_21
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