Results 51 to 60 of about 577,453 (293)
Clustering and Synchronization of Oscillator Networks [PDF]
, 2005 Using a recently described technique for manipulating the clustering coefficient of a network without changing its degree distribution, we examine the effect of clustering on the synchronization of phase oscillators on networks with Poisson and scale ...
A. L. Barabasi +9 more
core +1 more source
Large values of the clustering coefficient
Discrete Mathematics, 2018 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 $u$
Gentner, Michael +3 more
openaire +3 more sources
Efficient computation of the Weighted Clustering Coefficient [PDF]
Internet Mathematics, 2014 The clustering coefficient of an unweighted network has been extensively used to quantify how tightly connected is the neighbor around a node and it has been widely adopted for assessing the quality of nodes in a social network. The computation of the clustering coefficient is challenging since it requires to count the number of triangles in the graph.
LATTANZI, SILVIO, LEONARDI, Stefano
openaire +3 more sources
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
doaj +1 more source
Modeling Bilingual Lexical Processing Through Code-Switching Speech: A Network Science Approach
Frontiers in Psychology, 2021 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
doaj +1 more source
What are the Best Hierarchical Descriptors for Complex Networks?
, 2007 This work reviews several hierarchical measurements of the topology of complex networks and then applies feature selection concepts and methods in order to quantify the relative importance of each measurement with respect to the discrimination between ...
Abe S +11 more
core +1 more source
Frontiers in Aging Neuroscience, 2021 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
doaj +1 more source
On the influence of topological characteristics on robustness of complex networks
, 2013 In this paper, we explore the relationship between the topological characteristics of a complex network and its robustness to sustained targeted attacks.
Kasthurirathna, Dharshana +2 more
core +1 more source
Achieving Small World Properties using Bio-Inspired Techniques in Wireless Networks [PDF]
, 2012 It is highly desirable and challenging for a wireless ad hoc network to have self-organization properties in order to achieve network wide characteristics.
Agarwal, Rachit +5 more
core +2 more sources
Clustering of change patterns using Fourier coefficients [PDF]
Bioinformatics, 2007 Abstract Motivation: To understand the behavior of genes, it is important to explore how the patterns of gene expression change over a time period because biologically related gene groups can share the same change patterns. Many clustering algorithms have been proposed to group observation data.
Jaehee, Kim, Haseong, Kim
openaire +2 more sources