CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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id caadria2016_395
authors Ugarte, J. P. and M. Leef
year 2016
title Digital Geo-Plexus: Instagram as a tool for re-evaluating notions of proximity
source Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 395-404
summary The research presented in this paper describes the develop- ment of an Instagram-based multidimensional clustering algorithm. The algorithm analyses large datasets of Instagram images to establish new metrics that qualitatively assess proximity relations in a given geographical area —i.e. negotiates multiple acceptations of proximity. Influenced by Qualitative Spatial Reasoning, Lewis Mumford’s geo- graphic plexus and Kevin Lynch’s perceptual mapping, a graphic GUI-based application has been developed to produce real-time visu- alizations —maps, network graphs, and charts— by means of brows- ing, downloading and post-processing Instagram feeds. First, the ap- plication’s functioning will be described; second, several graphic visualizations will demonstrate the capabilities of the software; third, limitations and further development will be discussed.
keywords Instagram; big data; social network
series CAADRIA
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