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Exploring the effect of streamed social media data variations on social network analysis

To study the effects of online social network (OSN) activity on real-world offline events, researchers need access to OSN data, the reliability of which has particular implications for social network analysis. This relates not only to the completeness of any collected dataset, but also to constructi...

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Detalles Bibliográficos
Autores principales: Weber, Derek, Nasim, Mehwish, Mitchell, Lewis, Falzon, Lucia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8257040/
https://www.ncbi.nlm.nih.gov/pubmed/34249172
http://dx.doi.org/10.1007/s13278-021-00770-y
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author Weber, Derek
Nasim, Mehwish
Mitchell, Lewis
Falzon, Lucia
author_facet Weber, Derek
Nasim, Mehwish
Mitchell, Lewis
Falzon, Lucia
author_sort Weber, Derek
collection PubMed
description To study the effects of online social network (OSN) activity on real-world offline events, researchers need access to OSN data, the reliability of which has particular implications for social network analysis. This relates not only to the completeness of any collected dataset, but also to constructing meaningful social and information networks from them. In this multidisciplinary study, we consider the question of constructing traditional social networks from OSN data and then present several measurement case studies showing how variations in collected OSN data affect social network analyses. To this end, we developed a systematic comparison methodology, which we applied to five pairs of parallel datasets collected from Twitter in four case studies. We found considerable differences in several of the datasets collected with different tools and that these variations significantly alter the results of subsequent analyses. Our results lead to a set of guidelines for researchers planning to collect online data streams to infer social networks.
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spelling pubmed-82570402021-07-06 Exploring the effect of streamed social media data variations on social network analysis Weber, Derek Nasim, Mehwish Mitchell, Lewis Falzon, Lucia Soc Netw Anal Min Original Article To study the effects of online social network (OSN) activity on real-world offline events, researchers need access to OSN data, the reliability of which has particular implications for social network analysis. This relates not only to the completeness of any collected dataset, but also to constructing meaningful social and information networks from them. In this multidisciplinary study, we consider the question of constructing traditional social networks from OSN data and then present several measurement case studies showing how variations in collected OSN data affect social network analyses. To this end, we developed a systematic comparison methodology, which we applied to five pairs of parallel datasets collected from Twitter in four case studies. We found considerable differences in several of the datasets collected with different tools and that these variations significantly alter the results of subsequent analyses. Our results lead to a set of guidelines for researchers planning to collect online data streams to infer social networks. Springer Vienna 2021-07-05 2021 /pmc/articles/PMC8257040/ /pubmed/34249172 http://dx.doi.org/10.1007/s13278-021-00770-y Text en © Crown 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Article
Weber, Derek
Nasim, Mehwish
Mitchell, Lewis
Falzon, Lucia
Exploring the effect of streamed social media data variations on social network analysis
title Exploring the effect of streamed social media data variations on social network analysis
title_full Exploring the effect of streamed social media data variations on social network analysis
title_fullStr Exploring the effect of streamed social media data variations on social network analysis
title_full_unstemmed Exploring the effect of streamed social media data variations on social network analysis
title_short Exploring the effect of streamed social media data variations on social network analysis
title_sort exploring the effect of streamed social media data variations on social network analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8257040/
https://www.ncbi.nlm.nih.gov/pubmed/34249172
http://dx.doi.org/10.1007/s13278-021-00770-y
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