|Appears in Collections:||Management, Work and Organisation Journal Articles|
|Peer Review Status:||Refereed|
|Title:||International Gynaecological Cancer Society (IGCS) 2020 Annual Global Meeting: Twitter activity analysis|
|Author(s):||Bhandoria, Geetu Prakash|
Jones, Sadie Esme Fleur
Eriksson, Ane Gerda
|Keywords:||Obstetrics and Gynaecology|
|Citation:||Bhandoria GP, Nair N, Jones SEF, Eriksson AG, Hsu H, Noll F & Ahmed W (2021) International Gynaecological Cancer Society (IGCS) 2020 Annual Global Meeting: Twitter activity analysis. International Journal of Gynecological Cancer. https://doi.org/10.1136/ijgc-2021-002781|
|Abstract:||Objectives Twitter is the most frequently used social media platform by healthcare practitioners, at medical conferences. This study aimed to analyze Twitter conversations during the virtual International Gynecological Cancer Society 2020 conference to understand the interactions between Twitter users related to the conference. Methods Tweets using the hashtag ‘#IGCS2020’ were searched using the Twitter Search Application Programming Interface (API) during the period 10–13 September 2020. NodeXL Pro was used to retrieve data. The Clauset-Newman-Moore cluster algorithm clustered users into different groups or ‘clusters’ based on how users interacted. Results There were 2009 registrants for the virtual IGCS 2020 conference. The total number of users within the network was 168, and there were 880 edges connecting users. Five types of edges were identified as follows: ‘replies to’ (n=18), ‘mentions’ (n=221), ‘mentions in retweets’ (n=375), retweets (n=198), and tweets (n=68). The most influential account was that of the IGCS account itself (@IGCSociety). The overall network shape resembled a community where distinct groups formed within the network. Our current analyses demonstrated that less than 10% of the total members interacted on Twitter. Conclusion This study identified the most influential Twitter users within the ‘#IGCS2020’ community. he results also confirmed the community network shape of the #IGCS2020 hashtag and found that the most frequent co-related words were ‘ovarian’ and ‘cancer’ (n=39).|
|Rights:||This article has been accepted for publication in International Journal of Gynecological Cancer following peer review. The definitive copyedited, typeset version Bhandoria GP, Nair N, Jones SEF, Eriksson AG, Hsu H, Noll F & Ahmed W (2021) International Gynaecological Cancer Society (IGCS) 2020 Annual Global Meeting: Twitter activity analysis. International Journal of Gynecological Cancer, 31:1453-1458 is available online at: https://doi.org/10.1136/ijgc-2021-002781 © Authors 2021. Reuse of this manuscript version (excluding any databases, tables, diagrams, photographs and other images or illustrative material included where a another copyright owner is identified) is permitted strictly pursuant to the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC-BY-NC 4.0) http://creativecommons.org|
|Main Document.pdf||Fulltext - Accepted Version||325.07 kB||Adobe PDF||View/Open|
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