Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Roberto Alfieri"'
Publikováno v:
Mathematics, Vol 12, Iss 10, p 1568 (2024)
Weight thresholding (WT) is a method intended to decrease the number of links within weighted networks that may otherwise be excessively dense for network science applications. WT aims to remove links to simplify the network by holding most of the fe
Externí odkaz:
https://doaj.org/article/bddc4585d42047a992d1a54def929a48
Autor:
Michele Bellingeri, Massimiliano Turchetto, Francesco Scotognella, Roberto Alfieri, Ngoc-Kim-Khanh Nguyen, Quang Nguyen, Davide Cassi
Publikováno v:
Frontiers in Physics, Vol 11 (2023)
In this study, we simulate the degree and betweenness node attack over a large set of 200 real-world networks from different areas of science. We perform an initial node attack approach, where the node centrality rank is computed at the beginning of
Externí odkaz:
https://doaj.org/article/ca1d6276b63e4d6b82b1318cbf7175fd
Autor:
Massimiliano Turchetto, Michele Bellingeri, Roberto Alfieri, Ngoc-Kim-Khanh Nguyen, Quang Nguyen, Davide Cassi
Publikováno v:
Mathematics, Vol 11, Iss 23, p 4827 (2023)
Investigating the network response to node removal and the efficacy of the node removal strategies is fundamental to network science. Different research studies have proposed many node centralities based on the network structure for ranking nodes to
Externí odkaz:
https://doaj.org/article/9e654c49665e47c2827d2e0a7ce9e825
Autor:
Quang Nguyen, Tuan V. Vu, Hanh-Duyen Dinh, Davide Cassi, Francesco Scotognella, Roberto Alfieri, Michele Bellingeri
Publikováno v:
Applied Network Science, Vol 6, Iss 1, Pp 1-21 (2021)
Abstract In this paper we investigate how the modularity of model and real-world social networks affect their robustness and the efficacy of node attack (removal) strategies based on node degree (ID) and node betweenness (IB). We build Barabasi–Alb
Externí odkaz:
https://doaj.org/article/1666368bcdd64d0b99f110fbfe15a898
Autor:
Michele Bellingeri, Daniele Bevacqua, Massimiliano Turchetto, Francesco Scotognella, Roberto Alfieri, Ngoc-Kim-Khanh Nguyen, Thi Trang Le, Quang Nguyen, Davide Cassi
Publikováno v:
Frontiers in Physics, Vol 10 (2022)
Complex networks are the preferential framework to model spreading dynamics in several real-world complex systems. Complex networks can describe the contacts between infectious individuals, responsible for disease spreading in real-world systems. Und
Externí odkaz:
https://doaj.org/article/30e82de8ca2f42cb98fbd31d99190433
Publikováno v:
Mathematics, Vol 11, Iss 16, p 3482 (2023)
In this study, we investigate the effect of weight thresholding (WT) on the robustness of real-world complex networks. Here, we assess the robustness of networks after WT against various node attack strategies. We perform WT by removing a fixed fract
Externí odkaz:
https://doaj.org/article/d8af1635f6ba4b419a802462a14183bd
Autor:
Ngoc-Kim-Khanh Nguyen, Quang Nguyen, Hai-Ha Pham, Thi-Trang Le, Tuan-Minh Nguyen, Davide Cassi, Francesco Scotognella, Roberto Alfieri, Michele Bellingeri
Publikováno v:
Complexity, Vol 2022 (2022)
Computing the robustness of a network, i.e., the capacity of a network holding its main functionality when a proportion of its nodes/edges are damaged, is useful in many real applications. The Monte Carlo numerical simulation is the commonly used met
Externí odkaz:
https://doaj.org/article/6109c5483b8e49b3a1595460ee3b115e
Autor:
Michele Bellingeri, Daniele Bevacqua, Francesco Scotognella, Roberto Alfieri, Quang Nguyen, Daniele Montepietra, Davide Cassi
Publikováno v:
Frontiers in Physics, Vol 8 (2020)
We review the main results from the literature on the consequences of link and node removal in real social networks. We restrict our review to only those works that adopted the two most common measures of network robustness, i.e., the largest connect
Externí odkaz:
https://doaj.org/article/d860a71d964540cb91e5b1e0222cdb02
Publikováno v:
Journal of Low Power Electronics and Applications, Vol 8, Iss 2, p 15 (2018)
A simple optimization strategy for the computation of 3D finite-differencing kernels on many-cores architectures is proposed. The 3D finite-differencing computation is split direction-by-direction and exploits two level of parallelism: in-core vector
Externí odkaz:
https://doaj.org/article/0d3168a66fcf4d1c9cd656ca4261fe88
Autor:
Jadelson Andrade, Fábio Sândoli de Brito, Fábio Vilas-Boas, Iran Castro, Japy Angelin de Oliveira, Jorge Ilha Guimarães, Ricardo Stein, Álvaro Bellini, Antônio Felipe Simão, Artur Herdy, Japy Angelin Filho, Paulo Toscano, Ricardo Coutinho, Augusto Heitor Xavier de Brito, Heloísa Borges, Luís Eduardo Mastrocolla, Nabyl Ghorayeb, Ricardo Vivacqua, Maurício Nunes, Milton Godoy, Salvador Serra, Roberto Alfieri, Jorge Pinto Ribeiro, Salvador Ramos, Washington Araújo, José Nolasco, Romeu Sérgio Meneghello, William Chalela, Claudio Gil S. Araújo, Paulo Yazbeck, Claudio Gil Soares Araújo, Marianna Andrade
Publikováno v:
Arquivos Brasileiros de Cardiologia, Vol 78, Pp 01-17 (2002)
Externí odkaz:
https://doaj.org/article/40347abb4aad4e7bbd691ad72e66fcf9