Results 71 to 80 of about 28,178 (293)
High-Speed Rail Network Structural Characteristics and Evolution in China
Based on high-speed rail (HSR) network data from 2008 to 2020, this study explores the structural characteristics and evolution of China’s HSR network from the perspective of the overall network and urban node network centrality. We show that the overall
Lili Xu, Fanrui Su, Jie Zhang, Na Zhang
doaj +1 more source
Genetic‐Proteomic Integration Identifies Predictive Plasma Proteins for Multiple Sclerosis
Objective Multiple sclerosis (MS) develops after a prolonged preclinical phase. Identifying circulating biomarkers that capture this early biology can improve risk stratification and guide intervention. We aimed to identify plasma proteins driving MS susceptibility using large‐scale proteogenomic integration and to evaluate their prediagnostic ...
Yuan Ding +5 more
wiley +1 more source
ABSTRACT Autism spectrum disorder (ASD) is characterized by alterations in social understanding and self‐related experience that overlap with broader dimensions of psychosocial vulnerability. These domains are tightly interconnected, motivating the use of analytic approaches that can capture their organization as complex associations rather than as ...
Szilárd Holka +4 more
wiley +1 more source
Young people's occupational aspirations beyond the aspiration discourse: A sociocultural perspective
Abstract Young people's aspirations have been the focus of many educational, sociological and psychological studies. This paper argues, firstly, that the concept of aspirations holds greater generative potential than suggested by the policy‐oriented ‘aspiration discourse’.
Jelena Popov
wiley +1 more source
Percolation centrality: quantifying graph-theoretic impact of nodes during percolation in networks. [PDF]
A number of centrality measures are available to determine the relative importance of a node in a complex network, and betweenness is prominent among them.
Mahendra Piraveenan +2 more
doaj +1 more source
Towards identifying influential nodes in complex networks using semi-local centrality metrics
The influence of the node refers to the ability of the node to disseminate information. The faster and wider the node spreads, the greater its influence. There are many classical topological metrics that can be used to evaluate the influencing ability of
Kun Zhang +5 more
doaj +1 more source
ESG Decoupling Phenomenon: A Systematic and Bibliometric Analysis
ABSTRACT ESG decoupling, defined as the gap between a firm's ESG disclosures and its actual practices, poses a critical challenge to corporate sustainability. Using the PRISMA protocol, 451 articles were selected for a comprehensive bibliometric and systematic literature review to map the intellectual structure and thematic evolution of the research on
Maryam Laeeq +2 more
wiley +1 more source
Top 5 industries with betweenness centrality.
Top 5 industries with betweenness centrality.
Huipeng Yang (140415), Can Wang (157994)
core +1 more source
Complex networks after centrality-based attacks and defense
Exploration in complex networks has surged. Centrality measures play a pivotal role in pinpointing essential components within these networks. Previous work focus on nodes with the highest Betweenness centrality through extensive simulations.
Maham Zafar +4 more
doaj +1 more source
Community-Consideration Centrality, a Case Study of Lung Cancer Proteins
One of the most recent studies on the analysis of complex systems is to understand the role of community structure and centrality in analyzing the networks of complex systems such as protein and social networks.
Heru Cahya Rustamaji +3 more
doaj +1 more source

