Open AccessAnalisis Sentralitas Aktor dalam Memahami Jaringan Peredaran Gelap Narkoba di Kalimantan Barat
Author(s) -
Fathurrohman Fathurrohman
Publication year - 2020
Publication title -
wacana publik
Language(s) - English
Resource type - Journals
ISSN - 2656-9558
DOI - 10.37295/wp.v14i02.48
Subject(s) - centrality , social network analysis , drug trafficking , network structure , network analysis , bridge (graph theory) , network science , meaning (existential) , position (finance) , political science , criminology , business , complex network , sociology , computer science , law , engineering , psychology , biology , social media , world wide web , mathematics , machine learning , combinatorics , electrical engineering , psychotherapist , finance , anatomy
Drug trafficking networks are formed in a number of ways. The form of the network is structured based on the situations faced by them in the field. The actors involved in the network adapt in forming their network with the main objective of the drug trafficking business which continues to grow and is dynamic. The diversity of drug trafficking networks requires law enforcers to understand the shape and structure of the network so that efforts to destroy the network can be carried out more effectively. This study aims to determine the benefits of the centrality level of actors in a drug trafficking network so that it can be used by law enforcers to damage the network. With a social network analysis approach, researchers can map the interactions of the perpetrators so that it is possible to identify individuals (or groups) who have important positions in the structure of the drug network. The research found that two groups of crime networks in West Kalimantan had a relationship with an actor who served as a bridge between the two networks. Actors with high centrality values are generally leaders in the network as in this study. In addition, even though the position in the network is considered low, for example a courier, it still has an important meaning in assessing the importance of actors in the network.