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01-01-2014

A multiscale approach to network event identification using geolocated twitter data

Authors: Chao Yang, Ian Jensen, Paul Rosen

Published in: Computing | Issue 1/2014

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Abstract

The large volume of data associated with social networks hinders the unaided user from interpreting network content in real time. This problem is compounded by the fact that there are limited tools available for enabling robust visual social network exploration. We present a network activity visualization using a novel aggregation glyph called the clyph. The clyph intuitively combines spatial, temporal, and quantity data about multiple network events. We also present several case studies where major network events were easily identified using clyphs, establishing them as a powerful aid for network users and owners.

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Title: A multiscale approach to network event identification using geolocated twitter data
Authors: Chao Yang
Ian Jensen
Paul Rosen
Publication date: 01-01-2014
Publisher: Springer Vienna
Published in: Computing / Issue 1/2014
Print ISSN: 0010-485X
Electronic ISSN: 1436-5057
DOI: https://doi.org/10.1007/s00607-013-0285-5

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