Open AccessImplementation of Social Network Analysis in the Spread of Natuna Issues on Twitter
Author(s) -
Ashif Dzilfiqar Thayyibi,
Juliana Mansur
Publication year - 2021
Publication title -
jurnal informatika dan sains/jisa (jurnal informatika dan sains)
Language(s) - English
Resource type - Journals
eISSN - 2776-3234
pISSN - 2614-8404
DOI - 10.31326/jisa.v4i1.899
Subject(s) - centrality , social media , social network analysis , the internet , data science , visualization , computer science , social network (sociolinguistics) , world wide web , sociology , data mining , mathematics , combinatorics
Currently, the growth of internet users has been accompanied by the development of applications that support interaction among users, which is called social media. One of the popular social media in society today is twitter. Data on Twitter can be presented in a graph structure visualization in nodes that represent actors and edges that represent relationships between actors. In an effort to find the most influential actors and actors who interact the most in spreading the Natuna topic on social media twitter, an analysis will be carried out using the Social Network Analysis method using the Degree Centrality approach. The data used in this study were taken from December 20, 2019 at 00.00 WIB to January 7, 2020 at 10.00 WIB consisting of 71,477 nodes and 147066 edges. The results of this study can be concluded that the @susipudjiastuti account is the most influential actor and plays an important role in social networking because the @susipudjiastuti account is the most linked account with 29755 links. Meanwhile, the @ shaktia704 account was the most active account during the data collection period, which reached 259 links.