Zobrazeno 1 - 10
of 154
pro vyhledávání: '"Chantal Cherifi"'
Community structure is of paramount importance for the understanding of complex networks. Consequently, there is a tremendous effort in order to develop efficient community detection algorithms. Unfortunately, the issue of a fair assessment of these
Externí odkaz:
http://arxiv.org/abs/1711.09472
Publikováno v:
Complexity, Vol 2023 (2023)
The topological structure of the world air transportation network has been the subject of much research. However, to better understand the reality of air networks, one can consider the traffic, the number of passengers, or the distance between flight
Externí odkaz:
https://doaj.org/article/962ea6f1ae0b4efe8366ab107e1aaf89
Publikováno v:
Applied Network Science, Vol 6, Iss 1, Pp 1-50 (2021)
Abstract Air transportation plays an essential role in the global economy. Therefore, there is a great deal of work to understand better the complex network formed by the links between the origins and destinations of flights. Some investigations show
Externí odkaz:
https://doaj.org/article/28c0e990e548471a8e6482c36b5061d0
Publikováno v:
IEEE Access, Vol 8, Pp 79650-79683 (2020)
In real-world networks, nodes are usually organized into modules or communities of densely connected nodes. In situations where nodes can belong to multiple communities we say that the communities overlap, and the nodes shared by more than one commun
Externí odkaz:
https://doaj.org/article/bc3d6381757248718dee46196eb9a237
Publikováno v:
Complexity, Vol 2022 (2022)
The robustness of a system indicates its ability to withstand disturbances while maintaining its properties, performance, and efficiency. There are plenty of studies on the robustness of air transport networks in the literature. However, few works co
Externí odkaz:
https://doaj.org/article/0a6c037452a0457a92d2a73b2d66657f
Publikováno v:
Scientific Reports, Vol 9, Iss 1, Pp 1-29 (2019)
Abstract Identifying influential spreaders in networks is an essential issue in order to prevent epidemic spreading, or to accelerate information diffusion. Several centrality measures take advantage of various network topological properties to quant
Externí odkaz:
https://doaj.org/article/dfb41d8de92a4f56871d5cfd954ec77f
Publikováno v:
EPJ Data Science, Vol 8, Iss 1, Pp 1-27 (2019)
Abstract Identifying influential nodes in a network is a fundamental issue due to its wide applications, such as accelerating information diffusion or halting virus spreading. Many measures based on the network topology have emerged over the years to
Externí odkaz:
https://doaj.org/article/6013bcd94f2742b9abbb0cffcc997ed8
Autor:
Sylvain Kubler, Jeremy Robert, Ahmed Hefnawy, Kary Framling, Chantal Cherifi, Abdelaziz Bouras
Publikováno v:
IEEE Access, Vol 5, Pp 7064-7079 (2017)
By connecting devices, people, vehicles, and infrastructures everywhere in a city, governments and their partners can improve community well-being and other economic and financial aspects (e.g., cost and energy savings). Nonetheless, smart cities are
Externí odkaz:
https://doaj.org/article/57b6bba99f0e49e3954aa1f0a6c48bff
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-1 (2021)
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Externí odkaz:
https://doaj.org/article/00dbd527afef4869b4c469fe2593286e
Publikováno v:
Computational Data and Social Networks ISBN: 9783031263026
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4a5b0e8ad59b3da14f95059aa758136
https://doi.org/10.1007/978-3-031-26303-3_11
https://doi.org/10.1007/978-3-031-26303-3_11