Rosalia, Feni and Yulianto, Yulianto and Tina Kartika, Tina and Jeni, Wulandari and Albet Maydiantoro, Albet A Network of Twitter User on Stunting Issue in Lampung, Indonesia. World Scientific and Engineering Academy and Society.
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Abstract
This study aims to analyze the network of users and hashtag at Twitter messages that are connected to the issue of stunting in Lampung Province, Indonesia. The research process adopts social network analysis (SNA) methods. The research data comes from the Twitter API as many as forty thousand tweets. Data is downloaded, processed, and analyzed with three R, R Studio, and Gephi. Research findings show that Twitter users linked to stunting have different: (a) degree scores (13%, 12%, <10%); (b) betweenness scores (4%, 2.67%, 1.07%, and <1%); and (c) a closeness score that divides the actors into two groups: a closeness score equal to 1 and a closeness score below 1. The hashtags #pakhalimtahanstunting and #jokowimenbangundesa have become popular hashtags among Twitter users related to stunting issues. This study concludes that central and local government actors both encourage preventive and cross-sectoral intervention even though there are still few of collaboration between actors and institutions involved in this process.
| Item Type: | Other |
|---|---|
| Subjects: | H Social Sciences > H Social Sciences (General) |
| Divisions: | Fakultas Ilmu Sosial dan Ilmu Politik (FISIP) > Prodi Ilmu Pemerintahan |
| Depositing User: | FENI ROSAL |
| Date Deposited: | 12 Jan 2023 02:20 |
| Last Modified: | 12 Jan 2023 02:20 |
| URI: | http://repository.lppm.unila.ac.id/id/eprint/47739 |
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