Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Annamaria Ficara"'
Publikováno v:
Applied Sciences, Vol 14, Iss 15, p 6802 (2024)
Standard machine learning and deep learning architectures have been widely used in the field of sentiment analysis, but their performance is unsatisfactory if the input texts are short (e.g., social media posts). Specifically, the accuracy of standar
Externí odkaz:
https://doaj.org/article/505295e68eef4f2199c6df72039be961
Publikováno v:
Mathematics, Vol 10, Iss 16, p 2929 (2022)
Covert networks refer to criminal organizations that operate outside the boundaries of the law; they can be mainly classified as terrorist networks and criminal networks. We consider how Social Network Analysis (SNA) is used to analyze such networks
Externí odkaz:
https://doaj.org/article/a124c3d9a31f4393a877df03932a6ece
Autor:
Annamaria Ficara, Lucia Cavallaro, Francesco Curreri, Giacomo Fiumara, Pasquale De Meo, Ovidiu Bagdasar, Wei Song, Antonio Liotta
Publikováno v:
PLoS ONE, Vol 16, Iss 8 (2021)
Data collected in criminal investigations may suffer from issues like: (i) incompleteness, due to the covert nature of criminal organizations; (ii) incorrectness, caused by either unintentional data collection errors or intentional deception by crimi
Externí odkaz:
https://doaj.org/article/11c848f35e2c47729b66b384f6ea4022
Publikováno v:
Future Internet, Vol 14, Iss 5, p 123 (2022)
Traditional social network analysis can be generalized to model some networked systems by multilayer structures where the individual nodes develop relationships in multiple layers. A multilayer network is called multiplex if each layer shares at leas
Externí odkaz:
https://doaj.org/article/293a6e5760c04a65bfcc5d3367ebf8eb
Publikováno v:
Applied Sciences, Vol 12, Iss 8, p 3795 (2022)
As most of the community discovery methods are researched by static thought, some community discovery algorithms cannot represent the whole dynamic network change process efficiently. This paper proposes a novel dynamic community discovery method (Ph
Externí odkaz:
https://doaj.org/article/078d6696f667499db51317b7b305926f
Autor:
Lucia Cavallaro, Annamaria Ficara, Pasquale De Meo, Giacomo Fiumara, Salvatore Catanese, Ovidiu Bagdasar, Wei Song, Antonio Liotta
Publikováno v:
PLoS ONE, Vol 15, Iss 8, p e0236476 (2020)
Compared to other types of social networks, criminal networks present particularly hard challenges, due to their strong resilience to disruption, which poses severe hurdles to Law-Enforcement Agencies (LEAs). Herein, we borrow methods and tools from
Externí odkaz:
https://doaj.org/article/54be878aff9f4dbb9d48f15fca82c8ce
Publikováno v:
Complex Networks and Their Applications XI ISBN: 9783031211263
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abdc8266f334b3adc7dbdafc9e2fb864
https://doi.org/10.1007/978-3-031-21127-0_16
https://doi.org/10.1007/978-3-031-21127-0_16
Autor:
Lucia Cavallaro, Annamaria Ficara, Antonio Liotta, Ovidiu Bagdasar, Wei Song, Pasquale De Meo, Giacomo Fiumara, Francesco Curreri
Publikováno v:
CrimRxiv.
Data collected in criminal investigations may suffer from issues like: (i) incompleteness, due to the covert nature of criminal organizations; (ii) incorrectness, caused by either unintentional data collection errors or intentional deception by crimi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5bc1efa88f95de31b1d4b77d8409f24d
https://doi.org/10.21428/cb6ab371.0255af76
https://doi.org/10.21428/cb6ab371.0255af76
Publikováno v:
Proceedings of Sixth International Congress on Information and Communication Technology ISBN: 9789811617805
ICICT (3)
ICICT (3)
The role of an actor in a social network is identified through a set of measures called centrality. Degree centrality, betweenness centrality, closeness centrality, and clustering coefficient are the most frequently used metrics to compute the node c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9491ea0cb1d76a67f5ffac48da5a9080
https://doi.org/10.1007/978-981-16-1781-2_78
https://doi.org/10.1007/978-981-16-1781-2_78
Autor:
Giacomo Fiumara, Annamaria Ficara, Francesco Curreri, Ovidiu Bagdasar, Lucia Cavallaro, Pasquale De Meo, Antonio Liotta
Aim: Italian criminal groups become more and more dangerous spreading their activities into new sectors. A criminal group is made up of networks of hundreds of family gangs which extended their influence across the world, raking in billions from drug
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::730db869e5d3c3d2b10e142767b8915b
http://hdl.handle.net/10447/552240
http://hdl.handle.net/10447/552240