The Twitter Explorer: A Framework for Observing Twitter through Interactive Networks

We present an open-source interface for scientists to explore Twitter data through interactive network visualizations. Combining data collection, transformation and visualization in one easily accessible framework, the twitter explorer connects distant and close reading of Twitter data through the...

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Main Authors: Armin Pournaki, Felix Gaisbauer, Sven Banisch, Eckehard Olbrich
Format: Article
Language:English
Published: DIGSUM 2021-03-01
Series:Journal of Digital Social Research
Subjects:
Online Access:https://publicera.kb.se/jdsr/article/view/24988
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author Armin Pournaki
Felix Gaisbauer
Sven Banisch
Eckehard Olbrich
author_facet Armin Pournaki
Felix Gaisbauer
Sven Banisch
Eckehard Olbrich
author_sort Armin Pournaki
collection DOAJ
description We present an open-source interface for scientists to explore Twitter data through interactive network visualizations. Combining data collection, transformation and visualization in one easily accessible framework, the twitter explorer connects distant and close reading of Twitter data through the interactive exploration of interaction networks and semantic networks. By lowering the technological barriers of data-driven research, it aims to attract researchers from various disciplinary backgrounds and facilitates new perspectives in the thriving field of computational social science.
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publishDate 2021-03-01
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record_format Article
series Journal of Digital Social Research
spelling doaj-art-251d8b3e7ca64591bc74e29b056a26752025-08-20T02:18:42ZengDIGSUMJournal of Digital Social Research2003-19982021-03-013110.33621/jdsr.v3i1.64The Twitter Explorer: A Framework for Observing Twitter through Interactive NetworksArmin Pournaki0Felix Gaisbauer1Sven Banisch2Eckehard Olbrich3Max Planck Institute for Mathematics in the Sciences, Leipzig, GermanyMax Planck Institute for Mathematics in the Sciences, Leipzig, GermanyMax Planck Institute for Mathematics in the Sciences, Leipzig, GermanyMax Planck Institute for Mathematics in the Sciences, Leipzig, Germany We present an open-source interface for scientists to explore Twitter data through interactive network visualizations. Combining data collection, transformation and visualization in one easily accessible framework, the twitter explorer connects distant and close reading of Twitter data through the interactive exploration of interaction networks and semantic networks. By lowering the technological barriers of data-driven research, it aims to attract researchers from various disciplinary backgrounds and facilitates new perspectives in the thriving field of computational social science. https://publicera.kb.se/jdsr/article/view/24988interfacetwittercomplex networksdigital methodscomputational social science
spellingShingle Armin Pournaki
Felix Gaisbauer
Sven Banisch
Eckehard Olbrich
The Twitter Explorer: A Framework for Observing Twitter through Interactive Networks
Journal of Digital Social Research
interface
twitter
complex networks
digital methods
computational social science
title The Twitter Explorer: A Framework for Observing Twitter through Interactive Networks
title_full The Twitter Explorer: A Framework for Observing Twitter through Interactive Networks
title_fullStr The Twitter Explorer: A Framework for Observing Twitter through Interactive Networks
title_full_unstemmed The Twitter Explorer: A Framework for Observing Twitter through Interactive Networks
title_short The Twitter Explorer: A Framework for Observing Twitter through Interactive Networks
title_sort twitter explorer a framework for observing twitter through interactive networks
topic interface
twitter
complex networks
digital methods
computational social science
url https://publicera.kb.se/jdsr/article/view/24988
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