Zobrazeno 1 - 10
of 1 060
pro vyhledávání: '"eigenvector centrality"'
Publikováno v:
Geo-spatial Information Science, Pp 1-19 (2024)
The Central Plains Urban Agglomeration (CPUA) is a link of economic development to connect the eastern part and western part in China. Current research on urban agglomeration integration mainly uses urban properties’ data. This paper conducts an ev
Externí odkaz:
https://doaj.org/article/497d75f946ff4647904b17c164df1424
Autor:
Zarghami, Seyed Ashkan
Publikováno v:
Engineering, Construction and Architectural Management, 2023, Vol. 31, Issue 6, pp. 2478-2495.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ECAM-09-2022-0870
Autor:
MA Ji-wei, HUANG Ping, ZHANG Ji, YU Hai-xing, CAO Yong-jie, YANG Xiao-tong, XIONG Jian, ZHANG Huai-han, CANG Yong, SHI Ge-fei, CHEN Li-qin
Publikováno v:
Fayixue Zazhi, Vol 40, Iss 3, Pp 245-253 (2024)
ObjectiveTo describe the current state of research and future research hotspots through a metrological analysis of the literature in the field of forensic anthropological remains identification research.MethodsThe data retrieved and extracted from th
Externí odkaz:
https://doaj.org/article/424ecd302f40451fb2ff73c81c67d342
Autor:
H. Robert Frost
Publikováno v:
Applied Network Science, Vol 9, Iss 1, Pp 1-20 (2024)
Abstract We present a novel approach for computing a variant of eigenvector centrality for multilayer networks with inter-layer constraints on node importance. Specifically, we consider a multilayer network defined by multiple edge-weighted, potentia
Externí odkaz:
https://doaj.org/article/821bb9af2e79426fb841aaceb2af4fb8
Autor:
Franziska Albrecht, Karsten Mueller, Tommaso Ballarini, Klaus Fassbender, Jens Wiltfang, Markus Otto, Robert Jech, Mattias L. Schroeter, Adrian Danek, Janine Diehl-Schmid, Holger Jahn, Jan Kassubek, Johannes Kornhuber, Bernhard Landwehrmeyer, Martin Lauer, Johannes Prudlo, Anja Schneider, Albert C. Ludolph, Klaus Fliesbach, Sarah Anderl-Straub, Katharina Brüggen, Marie Fischer, Hans Förstl, Anke Hammer, György Homola, Walter Just, Johannes Levin, Nicolai Marroquin, Anke Marschhauser, Danielé Pino, Magdalena Nagl, Timo Oberstein, Lea Hüper, Maryna Polyakova, Hannah Pellkofer, Tanja Richter-Schmidinger, Carola Rossmeier, Marianna Kulko, Elisa Semler, Annika Spottke, Petra Steinacker, Angelika Thöne-Otto, Ingo Uttner, Heike Zech
Publikováno v:
Heliyon, Vol 10, Iss 15, Pp e34910- (2024)
Progressive supranuclear palsy (PSP) is an atypical Parkinsonian syndrome characterized initially by falls and eye movement impairment. This multimodal imaging study aimed at eliciting structural and functional disease-specific brain alterations. T1-
Externí odkaz:
https://doaj.org/article/512938e68e87433097744a778848f048
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e31891- (2024)
This paper contributes current research by investigating the extent to which equity linkage networks impact enterprise green transition in sustainable development. By adopting a complex network approach, we constructed a common shareholding network b
Externí odkaz:
https://doaj.org/article/de7d280a687945a2b37b54ad58a8193e
Autor:
Shinsuke Kyoi, Koichiro Mori
Publikováno v:
World Development Sustainability, Vol 4, Iss , Pp 100118- (2024)
Pro-environmental behavior does not diffuse sufficiently in society. Is there a way to enhance the degree of people's pro-environmental behavior? This study aims to develop a dynamic model of mutual learning in social networks to simulate the diffusi
Externí odkaz:
https://doaj.org/article/1bdd3567afd941bf87aebc0fd9d31e40
Publikováno v:
网络与信息安全学报, Vol 10, Pp 22-32 (2024)
In recent years, there has been widespread attention on hypergraphs as a research hotspot in network science.The unique structure of hypergraphs, which differs from traditional graphs, is characterized by hyperedges that can connect multiple nodes si
Externí odkaz:
https://doaj.org/article/6cc21d1fe7d14299b7b4057c9b775b6f
Autor:
Mohsen Zargarani, Claude Delpha, Demba Diallo, Anne Migan-Dubois, Chabakata Mahamat, Laurent Linguet
Publikováno v:
IEEE Access, Vol 12, Pp 170418-170436 (2024)
The role of clustering in unsupervised fault diagnosis is significant, but different clustering techniques can yield varied results and cause inevitable uncertainty. Ensemble clustering methods have been introduced to tackle this challenge. This stud
Externí odkaz:
https://doaj.org/article/419645ae36544795a4a346bba9db1f6d
Publikováno v:
Economies, Vol 12, Iss 7, p 164 (2024)
We propose a new centrality measure based on a self-adaptive epidemic model characterized by an endogenous reinforcement mechanism in the transmission of information between nodes. We provide a strategy to assign to nodes a centrality score that depe
Externí odkaz:
https://doaj.org/article/7eb33ecb9e9944a7810eed39d8645521