Results 21 to 30 of about 239,550 (307)
Concurrent extreme rainfall events, or synchronous extremes, during Indian Summer Monsoon Rainfall (ISMR), cause significant damage, but their spatiotemporal evolution remains unclear. Using the event synchronization approach to examine the synchronicity
Danish Tantary +5 more
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Over the past decade, there has been extensive research conducted on complex networks, primarily driven by their crucial role in understanding the various real-world networks such as social networks, communication networks, transportation networks, and ...
Mondikathi Chiranjeevi +3 more
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Large values of the clustering coefficient
A prominent parameter in the context of network analysis, originally proposed by Watts and Strogatz (Collective dynamics of `small-world' networks, Nature 393 (1998) 440-442), is the clustering coefficient of a graph $G$. It is defined as the arithmetic mean of the clustering coefficients of its vertices, where the clustering coefficient of a vertex $u$
Michael Gentner +3 more
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Approximating Clustering Coefficient and Transitivity
Summary: Since its introduction in the year 1998 by Watts and Strogatz, the clustering coefficient has become a frequently used tool for analyzing graphs. In 2002 the transitivity was proposed by Newman, Watts and Strogatz as an alternative to the clustering coefficient. As many networks considered in complex systems are huge, the efficient computation
Thomas Schank, Dorothea Wagner
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Cluster detection of spatial regression coefficients [PDF]
Popular approaches to spatial cluster detection, such as the spatial scan statistic, are defined in terms of the responses. Here, we consider a varying‐coefficient regression and spatial clusters in the regression coefficients. For varying‐coefficient regression, such as the geographically weighted regression, different regression coefficients are ...
Lee, Junho, Gangnon, Ronald E., Zhu, Jun
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Modeling Bilingual Lexical Processing Through Code-Switching Speech: A Network Science Approach
The study of code-switching (CS) speech has produced a wealth of knowledge in the understanding of bilingual language processing and representation. Here, we approach this issue by using a novel network science approach to map bilingual spontaneous CS ...
Qihui Xu +4 more
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Roles of Clustering Coefficient for the Network Reconstruction [PDF]
It is important to establish relations between the network reconstruction and the topological dynamical structure of networks. In this article, we quantify the effect for two types of network topologies on the performance of network reconstruction. First, we generate two network modes with variable clustering coefficient based on Holme-Kim model and ...
Han, Jingti +2 more
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Impairment in spatial navigation (SN) and structural network topology is not limited to patients with Alzheimer’s disease (AD) dementia and can be detected earlier in patients with mild cognitive impairment (MCI). We recruited 32 MCI patients (65.91 ± 11.
Weiping Li +12 more
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Simulating retrieval from a highly clustered network: Implications for spoken word recognition
Network science describes how entities in complex systems interact, and argues that the structure of the network influences processing. Clustering coefficient, C—one measure of network structure—refers to the extent to which neighbors of a node are also ...
Michael S Vitevitch +2 more
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Link prediction with node clustering coefficient [PDF]
8 pages, 3 ...
Wu, Zhihao +3 more
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