TY - GEN
T1 - A Twitter Social Network Analysis
T2 - 19th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2020
AU - Struweg, Ilse
N1 - Publisher Copyright:
© 2020, IFIP International Federation for Information Processing.
PY - 2020
Y1 - 2020
N2 - The process of extricating relationships and interchanges via visual mapping refers to Social Network Analysis (SNA). Through social network and graph theory lenses, this study explore Twitter data shortly after the announcement of the National Health Insurance (NHI) Bill to the South African parliament. An instrumental, single case study design and SNA secured contextual and timely Twitter interchanges of 4 112 tweets of the hashtag “NHI”. Given the growing call for the comprehension of social media network interactions in different contexts, this paper use the underutilized tool for social media analytics, ‘Network Overview, Discovery and Exploration for Excel Pro’ (NodeXL Pro) to extract and visually present knowledge from pairwise relations between actors in the #NHI social media network. The findings explain the data dispersion and network structure of the #NHI case. The results clearly identifies the influencers – mostly the South African government, specific Twitter users and gatekeepers in the announcement of a highly controversial healthcare bill that will affect all South African citizens. The paper contributes theoretically by adding graph theory to the social media research field and to a less studied social media research cluster, namely social media during critical events. The practical contribution of the study is the use of NodeXL Pro, a unique SNA tool for advanced social media crawling, SNA and advanced network metric analysis.
AB - The process of extricating relationships and interchanges via visual mapping refers to Social Network Analysis (SNA). Through social network and graph theory lenses, this study explore Twitter data shortly after the announcement of the National Health Insurance (NHI) Bill to the South African parliament. An instrumental, single case study design and SNA secured contextual and timely Twitter interchanges of 4 112 tweets of the hashtag “NHI”. Given the growing call for the comprehension of social media network interactions in different contexts, this paper use the underutilized tool for social media analytics, ‘Network Overview, Discovery and Exploration for Excel Pro’ (NodeXL Pro) to extract and visually present knowledge from pairwise relations between actors in the #NHI social media network. The findings explain the data dispersion and network structure of the #NHI case. The results clearly identifies the influencers – mostly the South African government, specific Twitter users and gatekeepers in the announcement of a highly controversial healthcare bill that will affect all South African citizens. The paper contributes theoretically by adding graph theory to the social media research field and to a less studied social media research cluster, namely social media during critical events. The practical contribution of the study is the use of NodeXL Pro, a unique SNA tool for advanced social media crawling, SNA and advanced network metric analysis.
KW - NodeXL Pro
KW - Social network analysis
KW - Twitter
UR - http://www.scopus.com/inward/record.url?scp=85084920141&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-45002-1_11
DO - 10.1007/978-3-030-45002-1_11
M3 - Conference contribution
AN - SCOPUS:85084920141
SN - 9783030450014
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 120
EP - 132
BT - Responsible Design, Implementation and Use of Information and Communication Technology - 19th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2020, Proceedings
A2 - Hattingh, Marié
A2 - Matthee, Machdel
A2 - Smuts, Hanlie
A2 - Pappas, Ilias
A2 - Dwivedi, Yogesh K.
A2 - Mäntymäki, Matti
PB - Springer
Y2 - 6 April 2020 through 8 April 2020
ER -