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id caadria2018_158
authors Koh, Immanuel
year 2018
title Learning Design Trends from Social Networks - Data Mining, Analysis & Visualization of Grasshopper® Online User Community
source T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 277-286
summary The paper has demonstrated that the increasingly online relationship between designers and their digital tools can be quantitatively represented, described and analyzed through the data-mining of design-domain specific and tool-based social network (i.e. Grasshopper3D). It explores design trends' correlations based on network user groups' size, users' demographics, nodes' degree centrality and discussion threads' popularity.
keywords Social Networks; Design Trends; Big Data; Parametric Design Tools; Data Visualization
series CAADRIA
email immanuel.koh@epfl.ch
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last changed 2018/05/17 07:08
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