Central Actor Identification of Crime Group using Semantic Social Network Analysis

Abstract

The Police as law enforcers who authorize in terms of social protection are expected to do both the prevention and investigation efforts also the settlement of criminal cases that occurred in the society. This research can help police to identify the main actor faster and leads to solving crime-cases. The use of overall centrality is very helpful in determining the main actors from other centrality measures. The purpose of this research is to identify the central actor of crimes done by several people. Semantic Social Network Analysis is used to perform central actor identification using five centrality measurements, such as degree centrality, betweenness centrality, closeness centrality, eigenvector centrality, and overall centrality. As for the relationship between actors, this research used social relation such as friendship, colleague, family, date or lover, and acquaintances. The relationship between actors is measured by first four centrality measures then accumulated by overall centrality to determine the main actor. The result showed 80.39% accuracy from 102 criminal cases collected with at least 3 actors involved in each case.

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“…A node with high closeness centrality value indicates that node is close to other nodes in the network [29], [34]. In this research, it shows the ability of a hashtag to reach another hashtags in the network.…”

“…There are four centrality measures used in this research, such us degree centrality, betweenness centrality, closeness centrality, and eigenvector centrality. These centrality measures are widely used to analyze network's structure in many fields namely criminality [29], psychology [30] , social media [17], [22], [31], and tourism [26]- [28], [32].…”

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“…In 2017 [12], Setatama and Tricahyono implemented Social Network Analysis to analyze the most influential actors in the spread of the country branding "Wonderful Indonesia." Tahalea and Azhari, in 2019 [13], used SNA to identify the central actor of crimes done by several people using five centrality measurements, such as degree, betweenness, closeness, and eigenvector centrality. This study showed 80.39% accuracy from 102 criminal cases gathered with at least three actors involved in each case.…”

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