Zobrazeno 1 - 10
of 12 700
pro vyhledávání: '"Community Detection"'
Autor:
Hieu, Do Duy, Duong, Phan Thi Ha
The issue of network community detection has been extensively studied across many fields. Most community detection methods assume that nodes belong to only one community. However, in many cases, nodes can belong to multiple communities simultaneously
Externí odkaz:
http://arxiv.org/abs/2403.08000
Autor:
Dakiche, Narimene, Benatchba, Karima, Slimani, Yahya, Brahmi, Mehdi Anis, Benbouzid-Si Tayeb, Fatima
Publikováno v:
Journal of Systems and Information Technology, 2024, Vol. 26, Issue 4, pp. 586-613.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JSIT-02-2021-0024
Publikováno v:
Journal of Data and Information Science, Vol 9, Iss 4, Pp 1-23 (2024)
This study focuses on understanding the collaboration relationships among mathematicians, particularly those esteemed as elites, to reveal the structures of their communities and evaluate their impact on the field of mathematics.
Externí odkaz:
https://doaj.org/article/a4a503da3e9247c693b6eda5ef15261d
Autor:
Vesa Kuikka, Kimmo K. Kaski
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract The progress in high-performance computing makes it increasingly possible to build detailed models to investigate spreading processes on complex networks. However, current studies have been lacking detailed computational methods to describe
Externí odkaz:
https://doaj.org/article/86e7bcba55e14972a9096a0fdc613f86
Autor:
Jinli Liu, Yihong Yuan
Publikováno v:
Annals of GIS, Vol 30, Iss 4, Pp 435-454 (2024)
The rise of data from smart city services and the emergence of advanced algorithms have emphasized the need for a deeper understanding of the underlying patterns of urban mobility and the potential opportunities for more efficient urban planning and
Externí odkaz:
https://doaj.org/article/90ebdf614d0a42c8a31109bd7dc02973
Autor:
Siti Haryanti Hairol Anuar, Zuraida Abal Abas, Iskandar Waini, Mohd Fariduddin Mukhtar, Zejun Sun, Eko Arip Winanto, Norhazwani Mohd Yunos
Publikováno v:
Alexandria Engineering Journal, Vol 112, Iss , Pp 177-208 (2025)
Community structure is essential for topological analysis, function study, and pattern detection in complex networks. As establishing community structure in a dynamic network is difficult, it gives a unique perspective in many interdisciplinary field
Externí odkaz:
https://doaj.org/article/afb62d64aa9941238e8c711df806689b
Publikováno v:
International Journal of Intelligent Computing and Cybernetics, 2024, Vol. 17, Issue 3, pp. 632-653.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJICC-01-2024-0017
Publikováno v:
Methodology, Vol 20, Iss 3, Pp 187-217 (2024)
Estimating the number of latent factors underlying a set of dichotomous items is a major challenge in social and behavioral research. Mokken scale analysis (MSA) and exploratory graph analysis (EGA) are approaches for partitioning measures consisting
Externí odkaz:
https://doaj.org/article/7400d5be06a143e48ce300599dc3b1a8
Publikováno v:
Frontiers of Urban and Rural Planning, Vol 2, Iss 1, Pp 1-13 (2024)
Abstract With the booming of Big Data and the Internet of Things, various urban networks have been built based on intercity flow data, and how to combine them to learn a more comprehensive understanding of mega-city regions is becoming more and more
Externí odkaz:
https://doaj.org/article/b5984607aecb4a09a4029fab80cba0c1