Navigating the asthma network on Twitter: Insights from social network and sentiment analysis

Hening Pratiwi; Ria Benkő; Ikhwan Yuda Kusuma

doi:10.1177/20552076231224075

Navigating the asthma network on Twitter: Insights from social network and sentiment analysis

Digit Health. 2024 Jan 22:10:20552076231224075. doi: 10.1177/20552076231224075. eCollection 2024 Jan-Dec.

Authors

Hening Pratiwi¹, Ria Benkő^{2

3

4}, Ikhwan Yuda Kusuma^{2

5}

Affiliations

¹ Department of Pharmacy, Faculty of Health Sciences, Jenderal Soedirman University, Purwokerto, Indonesia.
² Institute of Clinical Pharmacy, University of Szeged, Szeged, Hungary.
³ Albert Szent-Györgyi Health Centre, Central Pharmacy, University of Szeged, Szeged, Hungary.
⁴ Albert Szent-Györgyi Health Centre, Emergency Department, University of Szeged, Szeged, Hungary.
⁵ Pharmacy Study Program, Faculty of Health, Universitas Harapan Bangsa, Purwokerto, Indonesia.

Abstract

Background: Asthma is a condition in which the airways become inflamed and constricted, causing breathing difficulties, wheezing, coughing, and chest tightness. Social networks can have a substantial effect on asthma management and results. However, no studies of social networks addressing asthma have been undertaken.

Objective: The aim of this research was to identify the significant social network structures, key influencers, top topics, and sentiments of asthma-related Twitter conversations.

Methods: All the tweets collected for this study included the keyword "asthma" or were mentioned in or in replies to tweets that were performed. For this study, a random sample of Twitter data was collected using NodeXL Pro software between December 1, 2022, and January 29, 2023. The data collected includes the user's display name, Twitter handle, tweet text, and the tweet's publishing date and time. After being imported into the Gephi application, the NodeXL data were then shown using the Fruchterman-Reingold layout method. In our study, SNA (Social Network Analysis) metrics were utilized to identify the most popular subject using hashtags, sentiment-related phrases (positive, negative, or neutral), and top influencer by centrality measures (degree, betweenness).

Results: The study collected 48,122 tweets containing the keyword "asthma" or mentioned in replies. News reporters and journalists emerged as top influencers based on centrality measures in Twitter conversations about asthma, followed by government and healthcare institutions. Education, trigger factors (e.g., cat exposure, diet), and associated conditions were highly discussed topics on asthma-related social media posts (e.g., sarscov2, copd). Our study's sentiment analysis revealed that there were 8427 phrases associated neutral comments (18%), 12,582 words reflecting positive viewpoints (26%), and 27,111 words reflecting negative opinions (56%).

Conclusion: This study investigates the relevance of social media influencers, news reporters, health experts, health organizations, and the government in the dissemination and promotion of asthma-related education and awareness during public health information.

Keywords: Twitter; asthma; network; sentiment; social.