том 18 страницы 1926-1936

Human and Social Capital Strategies for Mafia Network Disruption

Тип публикацииJournal Article
Дата публикации2023-03-13
scimago Q1
wos Q1
БС1
SJR2.135
CiteScore12.5
Impact factor8.0
ISSN15566013, 15566021
Computer Networks and Communications
Safety, Risk, Reliability and Quality
Краткое описание
Social Network Analysis (SNA) is an interdisciplinary science that focuses on discovering the patterns of individuals interactions. In particular, practitioners have used SNA to describe and analyze criminal networks to highlight subgroups, key actors, strengths and weaknesses in order to generate disruption interventions and crime prevention systems. In this paper, the effectiveness of a total of seven disruption strategies for two real Mafia networks is investigated adopting SNA tools. Three interventions targeting actors with a high level of social capital and three interventions targeting those with a high human capital are put to the test and compared between each other and with random node removal. Human and social capital approaches were also applied on the Barab\'asi-Albert models which are the one which better represent criminal networks. Simulations showed that actor removal based on social capital proved to be the most effective strategy, by leading to the total disruption of the criminal network in the least number of steps. The removal of a specific figure of a Mafia family such as the Caporegime seemed also promising in the network disruption.
Найдено 
Найдено 

Топ-30

Журналы

1
2
Social Network Analysis and Mining
2 публикации, 11.11%
Applied Network Science
2 публикации, 11.11%
IEEE Transactions on Information Forensics and Security
1 публикация, 5.56%
Symmetry
1 публикация, 5.56%
Information (Switzerland)
1 публикация, 5.56%
Complexity
1 публикация, 5.56%
PLoS ONE
1 публикация, 5.56%
IEEE Transactions on Cybernetics
1 публикация, 5.56%
Advances in Electronic Government, Digital Divide, and Regional Development
1 публикация, 5.56%
Computers and Industrial Engineering
1 публикация, 5.56%
Culture and Psychology
1 публикация, 5.56%
Journal of Computational Social Science
1 публикация, 5.56%
Chaos, Solitons and Fractals
1 публикация, 5.56%
Discover Psychology
1 публикация, 5.56%
IEEE Computational Intelligence Magazine
1 публикация, 5.56%
Computers and Security
1 публикация, 5.56%
1
2

Издатели

1
2
3
4
5
6
Springer Nature
6 публикаций, 33.33%
Institute of Electrical and Electronics Engineers (IEEE)
3 публикации, 16.67%
Elsevier
3 публикации, 16.67%
MDPI
2 публикации, 11.11%
Hindawi Limited
1 публикация, 5.56%
Public Library of Science (PLoS)
1 публикация, 5.56%
IGI Global
1 публикация, 5.56%
SAGE
1 публикация, 5.56%
1
2
3
4
5
6
  • Мы не учитываем публикации, у которых нет DOI.
  • Статистика публикаций обновляется еженедельно.

Вы ученый?

Создайте профиль, чтобы получать персональные рекомендации коллег, конференций и новых статей.
Метрики
18
Поделиться
Цитировать
ГОСТ |
Цитировать
Ficara A. et al. Human and Social Capital Strategies for Mafia Network Disruption // IEEE Transactions on Information Forensics and Security. 2023. Vol. 18. pp. 1926-1936.
ГОСТ со всеми авторами (до 50) Скопировать
Ficara A., Curreri F., Fiumara G., De Meo P. Human and Social Capital Strategies for Mafia Network Disruption // IEEE Transactions on Information Forensics and Security. 2023. Vol. 18. pp. 1926-1936.
RIS |
Цитировать
TY - JOUR
DO - 10.1109/tifs.2023.3256706
UR - https://ieeexplore.ieee.org/document/10068303/
TI - Human and Social Capital Strategies for Mafia Network Disruption
T2 - IEEE Transactions on Information Forensics and Security
AU - Ficara, Annamaria
AU - Curreri, Francesco
AU - Fiumara, G
AU - De Meo, Pasquale
PY - 2023
DA - 2023/03/13
PB - Institute of Electrical and Electronics Engineers (IEEE)
SP - 1926-1936
VL - 18
SN - 1556-6013
SN - 1556-6021
ER -
BibTex
Цитировать
BibTex (до 50 авторов) Скопировать
@article{2023_Ficara,
author = {Annamaria Ficara and Francesco Curreri and G Fiumara and Pasquale De Meo},
title = {Human and Social Capital Strategies for Mafia Network Disruption},
journal = {IEEE Transactions on Information Forensics and Security},
year = {2023},
volume = {18},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
month = {mar},
url = {https://ieeexplore.ieee.org/document/10068303/},
pages = {1926--1936},
doi = {10.1109/tifs.2023.3256706}
}