Zobrazeno 1 - 10
of 2 849
pro vyhledávání: '"dynamic networks"'
Autor:
Richárd Kiss, Gábor Szűcs
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 7333-7348 (2024)
Abstract Network science has witnessed a surge in popularity, driven by the transformative power of node representation learning for diverse applications like social network analysis and biological modeling. While shallow embedding algorithms excel a
Externí odkaz:
https://doaj.org/article/f25e9f3a931d4bf19e8156b1aab34faa
Publikováno v:
Data Science in Science, Vol 3, Iss 1 (2024)
In financial markets, systemic risk is a type of risk in which the failure of one stock in the market triggers a sequence of failures. Our study proposes a Bayesian decision scheme to dynamically monitor systemic risk under any preferences and restri
Externí odkaz:
https://doaj.org/article/bf7e4aaebd0041028696ae82f75084d8
Publikováno v:
Applied Network Science, Vol 9, Iss 1, Pp 1-25 (2024)
Abstract Influence maximization (IM) is an important topic in network science where a small seed set is chosen to maximize the spread of influence on a network. Recently, this problem has attracted attention on temporal networks where the network str
Externí odkaz:
https://doaj.org/article/802495f2bd144364922c7a1301e5cc12
Publikováno v:
IEEE Access, Vol 12, Pp 67512-67524 (2024)
Traffic dynamics is universally crucial in analyzing and designing almost any network. This article introduces a novel theoretical approach to analyzing network traffic dynamics. This theory’s machinery is based on the notion of traffic divergence,
Externí odkaz:
https://doaj.org/article/179775d9a7ef4a29ada3efba9d61a0d4
Publikováno v:
Measurement: Sensors, Vol 33, Iss , Pp 101231- (2024)
Football players have more physical training content and complex items. For teenagers and children, according to their growth process and physical characteristics, a football training plan that meets their personal characteristics should be developed
Externí odkaz:
https://doaj.org/article/85d3e243bbef4628b9f5a74424951a8f
Autor:
Stefan G. Hofmann, Steven C. Hayes
Publikováno v:
Clinical Psychology in Europe, Vol 6, Iss Special Issue (2024)
[Background] The science and practice of psychopathology and psychological intervention of today is more like an island archipelago than it is a single land mass, and connections between different traditions are both limited and fraught with misunder
Externí odkaz:
https://doaj.org/article/6dd0ef9d185c4b21b6d98083c531b7e7
Autor:
Xinwei Xu
Publikováno v:
EPJ Data Science, Vol 12, Iss 1, Pp 1-8 (2023)
Abstract Social and behavioral sciences now stand at a critical juncture. The emergence of Computational Social Science has significantly changed how social networks are studied. In his keynote at IC2S2 2021, Lehmann presented a series of research ba
Externí odkaz:
https://doaj.org/article/679aacb82135487d849579ef57e39c02
Autor:
Schaefer David R.
Publikováno v:
Journal of Social Structure, Vol 24, Iss 1, Pp 19-22 (2023)
Externí odkaz:
https://doaj.org/article/fb713d4ba423489f894b7ee129cf6ead
Autor:
Victor DeGruttola, Masato Nakazawa, Tuo Lin, Jinyuan Liu, Ravi Goyal, Susan Little, Xin Tu, Sanjay Mehta
Publikováno v:
BMC Infectious Diseases, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract Background Efforts to control the HIV epidemic can benefit from knowledge of the relationships between the characteristics of people who have transmitted HIV and those who became infected by them. Investigation of this relationship is facili
Externí odkaz:
https://doaj.org/article/6ad9c5df015947df902289f42ddd8ba8
Autor:
Karwan Mohammed HamaKarim
Publikováno v:
UHD Journal of Science and Technology, Vol 7, Iss 2, Pp 32-39 (2023)
The study’s findings showed that link prediction utilizing the similarity learning model in dynamic networks (LSDN) performed better than other learning techniques including neural network learning and decision tree learning in terms of the three c
Externí odkaz:
https://doaj.org/article/df3b82df95cd40ca9e4743f4c46787fe