Paper Info
Title
Energy Disruptive Centrality With An Application To Criminal Network
Abstract
Many social interactions can be modeled by networks, where social actors are represented by vertices and their relations by edges. Researchers, over the years, have used social network analysis (SNA) to study the topological structure of the network and understand relational patterns. More recently, scholars have included in the SNA the actors' attributes in the search for a better understanding, given that these attributes can influence the way that the relationships occur and consequently models the structure of the network. In this paper, we propose two centrality measures, based on the law of gravity, where the strength of the nodes' attributes is combined with the strength of the relationships between them. We used an energy disruptive measure to target a network of convicts, monitored electronically, and the network of hijackers of Al Qaedas 9/11 attack with the aim of structurally and functionally dismantling it. The network damage was demonstrated by the robustness, measure which takes into account the size of the principal component, and also through two new measures proposed in this work: the attribute load, measure that analyzes the loss of nodes' attributes; and the toughness, which takes into account the maximum sum of edges' weights. Results show that, when used as a target method, the energy disruptive centrality was the most efficient strategy, providing greater network damage than other centrality measures analyzed.(c) 2021 Elsevier B.V. All rights reserved.
Year
DOI
Venue
2021
10.1016/j.cnsns.2021.105834
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
Keywords
DocType
Volume
Networks damage, Nodes attributes, Criminal networks, Gravity
Journal
99
ISSN
Citations 
PageRank 
1007-5704
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Ricardo Lopes de Andrade100.34
Leandro Chaves Rêgo200.34
ticiana33214.96
José Antônio Fernandes de Macêdo446551.40
Wellington C.P. Silva500.34