clustering coefficient
A graph clustering algorithm based on a clustering coefficient for weighted graphs
... the clustering ten- dency of the nodes of a graph is the clustering coefficient measure ...The clustering coefficient of a node measures how much its neighbors are close to a clique, ...
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Graph Theoretic Features of the Adult Mental lexicon Predict Language Production in Mandarin: Clustering Coefficient
... that clustering coefficient (C) predicted spoken production of Mandarin monosyllabic words, while network de- gree, in this case its phonological neigh- borhood density (PND) failed to account for lexical ...
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Curvature of Indoor Sensor Network: Clustering Coefficient
... the clustering coefficient. Clustering coefficient analysis is a computationally simplified, semilocal approach, which nevertheless captures such a large-scale feature as congestion in the underlying ...The ...
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Network-based study of Lagrangian transport and mixing
... large clustering coef- ficients have been found to indicate invariant sets of the un- derlying dynamics (Donner et ...large clustering coefficients have been related to periodic behav- ior (Rodríguez-Méndez ...
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Methods of Measuring Influence of Bank Customer Using Social Network Model
... Social network analysis has been an important part of social studies. Social network analysis methods employed by this paper to conduct customers’ network analysis from the average path length, the clustering ...
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Robustness and the Paradox of Bridging Organizations: The Exit Problem in Regional Water Governance Networks in Central America
... local clustering coefficient and articulation points, which indicates these actors also contribute substantially to structures supporting cooperation and social learning in the empirical ...
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Brain Functional Network Improved by Magnetic Stimulation at Acupoints during Mental Fatigue
... average clustering coefficient, network density and average path length, were analyzed with paired sample t test for normal state, mental fatigue state and stimulated ...
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Structural Analysis and Static Simulation of Coastal Planktonic Networks
... Table 3 presents the network properties values according the applied indexes. In networks, we call degree of a node the number of edges which are adjacent to it. So, the basic structure of this network present a total of ...
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Influencer Selection on Social networks based on Information Requirement and Diffusion Cost
... length, clustering coefficient, and degree centrality with ...the clustering coefficient, degree, closeness, and betweenness centralities, ...
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Functional Brain Connectivity Differences Between Different ADHD Presentations: Impaired Functional Segregation in ADHD-Combined Presentation but not in ADHD-Inattentive Presentation
... Alpha waves have also been investigated in several ADHD studies (Hale et al., 2010; Nazari et al., 2011). These studies have demonstrated that children with ADHD had reduced intra hemispheric coherences in the alpha ...
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Title: SURVEY ON SOCIAL NETWORK MINING
... [local] clustering coefficients. In May 2011, Facebook had an average clustering coefficient of ...average clustering coefficient for several real-world social networks and the ...
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Analysis of topology and propagation characteristics based on high close network
... shows clustering coefficient of some nodes present a reverse relationship with other nodes; that is other characteristic values are obviously larger than other nodes when clustering ...
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Weighted complex networks applied to seismicity: the Itoiz dam (Northern Spain)
... a clustering co- efficient (Barrat et ...ing coefficient is different from that used in ...a clustering coefficient that was higher for q < 0 than for q > 0, it meant that the nodes had ...
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HyGen: generating random graphs with hyperbolic communities
... Random graph generators are necessary tools for many network science applications. For example, the evaluation of graph analysis algorithms requires methods for generating realistic synthetic graphs. Typically random ...
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Network analysis through the use of joint-distribution entropy on EEG recordings of MCI patients during a visual short-term memory binding task
... lower clustering coefficient amongst beta filtered MCI subjects was supported by some of the other ...lower clustering coefficient for AD patients in the lower alpha band [13] ...lower ...
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LOAD CURRENT CONTROL BASED ON LUENBERGER OBSERVER FOR THREE PHASE POWER CONVERTER SVPWM
... Up to now, there have no fundamental methods to treat HIV-1(Human Immunodeficiency Virus type1). We constructed a network by the primary gene and protein of hiv-1 and then the corresponding dominating set. Considering ...
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Unrevealing the structure of live BitTorrent Swarms: methodology and analysis
... able to obtain the routing table of 150k peers along the time. With this dataset we aim to answer the following critical but still unanswered questions: (i) Does the connectivity graph of live BitTorrent correspond to a ...
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The orthographic similarity structure of English words: Insights from network science
... The largest connected component (LCC) of the orthographic language network con- sisted of 11,365 nodes and 32,759 edges. The LCC had an average degree <k > of 5.766, mean local clustering coefficient ...
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Efficient Network Structures with Separable Heterogeneous Connection Costs
... whose clustering coefficients are either one (complete graph) or zero (star structure or empty graph), the clustering coefficient of the efficient network with heterogeneous costs covers a wide ...
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From isovists to visibility graphs: a methodology for the analysis of architectural space
... and clustering coefficient, and the global property mean shortest path ...The clustering coefficient and mean shortest path length have previously been used together to characterise graph ...
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