Results 31 to 40 of about 242,831 (264)
Graph theoretical analysis of resting magnetoencephalographic functional connectivity networks
Frontiers in Computational Neuroscience, 2013 Complex networks have been observed to comprise small-world properties, believed to represent an optimal organization of local specialization and global integration of information processing at reduced wiring cost.
Lindsay eRutter +7 more
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A Name Recognition Method Based on Clustering Coefficient [PDF]
Jisuanji gongcheng, 2016 In many application fields of Chinese text analysis, name recognition is a widespread fundamental issue. Although there are several kinds of name recognition methods, they are mainly based on corpus statistics and language rules.
ZENG Jianping,LIU Hua
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Cluster detection of spatial regression coefficients [PDF]
Statistics in Medicine, 2016 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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An Improved Passing Network for Evaluating Football Team Performance
Applied Sciences, 2023 With the continuous development of sensor technology, the realization of football techniques and tactics comes with richer technical support. Among them, network analysis has been widely used to analyze passing behavior, and some results have been ...
Wenxuan Zhou +3 more
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Geophysical Research Letters, 2023 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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Critical exponents from cluster coefficients [PDF]
Physical Review E, 2009 11 pages, 6 figures, submitted to ...
Rotman, Z., Eisenberg, E.
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Identifying Influential Spreaders in Social Networks Via Normalized Local Structure Attributes
IEEE Access, 2018 In social networks, influential spreaders are those nodes that can spread information to a large number of nodes. Identifying influential spreaders is a major challenge for applications, such as information diffusion acceleration, epidemic outbreak ...
Xiaohui Zhao +3 more
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Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
The intracluster correlation coefficient in cluster randomisation [PDF]
BMJ, 1998 We have described the calculation of sample size when subjects are randomised in groups or clusters in terms of two variances—the variance of observations taken from individuals in the same cluster, sw 2, and the variance of true cluster means, s c 2.1 We described how such a study could be analysed using the sample cluster means. The variance of such
S M, Kerry, J M, Bland
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IEEE Access, 2023 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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