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词汇 example_english_clustering-coefficient
释义

clustering coefficient

collocation in English

meanings of clusterand coefficient


These words are often used together. Click on the links below to explore the meanings. Or, see other collocations with coefficient.
cluster
noun[C]
uk /ˈklʌs.tər/ us /ˈklʌs.tɚ/
a group of similar things that are close together, sometimes ...
See more at cluster
coefficient
noun[C]
uk /ˌkəʊ.ɪˈfɪʃ.ənt/ us /ˌkoʊ.ɪˈfɪʃ.ənt/
a value, in mathematics, that appears in front of and multiplies ...
See more at coefficient


Examples of clustering coefficient


These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors.
Unlike regular networks, completely random graph networks present a low clusteringcoefficient together with a small characteristic path length.
Regular networks have also a high clusteringcoefficient.
These networks display a small average path length, like completely random graphs, together with a large clusteringcoefficient, like regular lattices.
The case p=1 corresponds to random graphs, in which the average path length increases with the logarithm of the system size and the clusteringcoefficient is very low.
The clusteringcoefficient for the entire network is the average of the clustering coefficients of all the nodes.
From
Wikipedia

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This follows from the defining property of a high clusteringcoefficient.
From
Wikipedia

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Neighbourhoods are also used in the clusteringcoefficient of a graph, which is a measure of the average density of its neighbourhoods.
From
Wikipedia

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As the rewiring probability increases, the clusteringcoefficient decreases slower than the average path length.
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Wikipedia

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For instance, sparse random graphs have a vanishingly small clusteringcoefficient while real world networks often have a coefficient significantly larger.
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Wikipedia

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In effect, this allows the average path length of the network to decrease significantly with only slightly decreases in clusteringcoefficient.
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Wikipedia

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The clusteringcoefficient is a metric that represents the density of triangles in the network.
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Wikipedia

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Graph theory also offers a context-free measure of connectedness, called the clusteringcoefficient.
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Wikipedia

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Another general characteristic of scale-free networks is the clusteringcoefficient distribution, which decreases as the node degree increases.
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A high clusteringcoefficient for a network is another indication of a small world.
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More precisely, the clusteringcoefficient of a node is the ratio of existing links connecting a node's neighbors to each other to the maximum possible number of such links.
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Wikipedia

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In addition to referring to the size of the diameter of the network, it can also refer to the co-occurrence of a small diameter and a high clusteringcoefficient.
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Wikipedia

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In a power law distributed small world network, deletion of a random node rarely causes a dramatic increase in mean-shortest path length (or a dramatic decrease in the clusteringcoefficient).
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Moreover, the clustering coefficients seem to follow the required scaling law with the parameter -1 providing evidence for the hierarchical topology of the network.
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Network properties include the degree distribution, clustering coefficients, betweenness centrality, and many others.
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Networks that stay true to this principle become highly interconnected and have very high clustering coefficients.
From
Wikipedia

This example is from Wikipedia and may be reused under a CC BY-SA license.
These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors.
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