Abstract: Analysis of motorcycle gang networks in Indonesia was conducted to determine the dynamics of the motor gang network. This analysis is needed by the government in making appropriate and effective policies in overcoming social problems caused by the existence of this group. The purpose of this study is to detect and determine the community structure of motorcycle gang networks in Indonesia through the use of big data available on the internet, especially social media. This research also utilizes several approaches such as social and behavioral sciences, as well as the computer technology in understanding and finding solutions to problems that arise in society. This study uses a social network analysis method as an instrument that will reveal the social structure of motorcycle gangs with a network centrality approach and community detection. This research succeeded in finding the network structure pattern and network insight of motorcycle gangs by finding the most influential actors. The study also found 25 motorcycle gang groups with high-value network interactions and these groups had more than 2000 active members on social media. In the biker gang social network analysis, the most influential actor has 531 degrees with a weighted degree of 1557.

Edi Surya Negara, Ria Andryani, Deni Erlansyah and Rezki Syaputra, “Analysis of Indonesian Motorcycle Gang with Social Network Approach” International Journal of Advanced Computer Science and Applications(IJACSA), 11(12), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0111224

@article{Negara2020,
title = {Analysis of Indonesian Motorcycle Gang with Social Network Approach},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0111224},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0111224},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {12},
author = {Edi Surya Negara and Ria Andryani and Deni Erlansyah and Rezki Syaputra}
}