Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Ke-ke Shang"'
Publikováno v:
Symmetry, Vol 16, Iss 2, p 166 (2024)
Complex network theory involves network structure and dynamics; dynamics on networks and interactions between networks; and dynamics developed over a network. As a typical application of complex networks, the dynamics of disease spreading and control
Externí odkaz:
https://doaj.org/article/d256b112278f4e89a5f98f90443b4d6a
Publikováno v:
New Journal of Physics, Vol 26, Iss 1, p 013031 (2024)
Cascade prediction aims to estimate the popularity of information diffusion in complex networks, which is beneficial to many applications from identifying viral marketing to fake news propagation in social media, estimating the scientific impact (cit
Externí odkaz:
https://doaj.org/article/c918031c41134885b90a309cfa283a5d
Publikováno v:
Mathematics, Vol 11, Iss 15, p 3393 (2023)
The popularity and development of social media have made it more and more convenient to spread rumors, and it has become especially important to detect rumors in massive amounts of information. Most of the traditional rumor detection methods use the
Externí odkaz:
https://doaj.org/article/3a456ceadb524ba2992287ba000aacd0
Publikováno v:
IEEE Access, Vol 8, Pp 89269-89280 (2020)
The existing studies of link prediction mostly focused on using network topology properties to improve the accuracy of link prediction. More broadly, researches on the role of community structures for link prediction have recently received increasing
Externí odkaz:
https://doaj.org/article/3e871cc46c3a4126ad20487699417be3
Publikováno v:
Mathematics, Vol 10, Iss 11, p 1906 (2022)
In the real world, pathogens do not exist in isolation. The transmission of one pathogen may be affected by the presence of other pathogens, and certain pathogens generate multiple strains with different spreading features. Hence, the behavior of mul
Externí odkaz:
https://doaj.org/article/456eb9a91d804d9cb6a108453c0e6927
Publikováno v:
Complexity, Vol 2021 (2021)
Link prediction is a fundamental problem of data science, which usually calls for unfolding the mechanisms that govern the micro-dynamics of networks. In this regard, using features obtained from network embedding for predicting links has drawn wides
Externí odkaz:
https://doaj.org/article/22f70b50c8954428a7b69aa02e6f2d39
Publikováno v:
National Science Open. :20220051
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 598:127357
Publikováno v:
IEEE Access, Vol 7, Pp 43707-43720 (2019)
Clustering analysis has been widely used in pattern recognition, image processing, machine learning, and so on. It is a great challenge for most existing clustering algorithms to discover clusters with complex manifolds or great density variation. Mo
Publikováno v:
Complexity, Vol 2021 (2021)
Link prediction is a fundamental problem of data science, which usually calls for unfolding the mechanisms that govern the micro-dynamics of networks. In this regard, using features obtained from network embedding for predicting links has drawn wides