Affiliation:
1. University College London , London , UK
2. School of Arts, Culture and Environment, University of Edinburgh , Edinburgh , Scotland
Abstract
Abstract
What does a digital Social Network Analysis reveal about online oceanographic communities on Twitter? We examine the structure of a digital community of practice of oceanographers and ocean-related stakeholders on Twitter using a Social Network Analysis (SNA) approach to understand digital aspects of information production and information flow in oceanography, mapping the social ties between members of a community of practice concerned with the study of the oceans. We carried out the SNA using Docteur Tweety TwExList for data collection, and Gephi to visualize scraped data, and found that although the oceanographic community on Twitter is an active vibrant community, fragmentation between sub-communities exist. Further qualitative sampling revealed where these fragmentations occur between individual researchers, institutions, funding bodies, government agencies, and news outlets as a result of practice, time zones, and geography. The findings also revealed which groups are utilizing Twitter consistently, and which accounts have the potential to connect isolated groups. We recommend that if training were available to assist ocean scientists in understanding the affordances of Twitter, it would be possible to utilise it for better collaboration, community integration, and more effective public outreach.
Subject
Library and Information Sciences,Computer Science Applications,Conservation
Reference105 articles.
1. Abdelsadek, Y. K., F. Chelghoum, I. K. Herrmann, and B. Otjacques. 2018. “Community Extraction and Visualization in Social Networks Applied to Twitter.” Information Sciences 424: 204–23, https://doi.org/10.1016/j.ins.2017.09.022.
2. Aleskerov, F., N. Meshcheryakova, and S. Shvydun. 2016. Centrality Measures in Networks Based on Nodes Attributes, Long-Range Interactions and Group Influence. arXiv preprint arXiv:1610.05892.
3. Almaatouq, A., A. Alabdulkareem, M. Nouh, E. Shmueli, M. Alsaleh, V. K. Singh, A. Alarifi, A. Alfaris, and A. Pentland. 2014. “Twitter: Who Gets Caught? Observed Trends in Social Micro-Blogging Spam.” Paper Presented at the Proceedings of the 2014 ACM Conference on Web Science.
4. Anderson, A. 2017. “Effects of Social Media Use on Climate Change Opinion, Knowledge, and Behavior.” Oxford Research Encyclopedia of Climate Science, https://doi.org/10.1093/acrefore/9780190228620.013.369.
5. Bailey, R. 2017. “What Trump’s Withdrawal from Paris Means for Global Climate Action.” Chatham House. https://www.chathamhouse.org/expert/comment/what-trump-s-withdrawal-paris-means-global-climate-action?gclid = EAIaIQobChMIwLKf5Y7o2QIVCrvtCh3fJg8HEAMYASAAEgLR1PD_BwE#.