clustering coefficient造句
造句與例句
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- A higher clustering coefficient indicates a greater'cliquishness '.
- Then we can also define the clustering coefficient as
- Team clustering coefficient "'- a direct application of a clustering coefficient.
- Team clustering coefficient "'- a direct application of a clustering coefficient.
- While the clustering coefficient is not small.
- The clustering coefficient is a metric that represents the density of triangles in the network.
- Global trade network is highly clustered, its average clustering coefficient is 0.735.
- Clustering coefficient : A measure of the likelihood that two associates of a node are associates.
- Networks that stay true to this principle become highly interconnected and have very high clustering coefficients.
- As the rewiring probability increases, the clustering coefficient decreases slower than the average path length.
- It's difficult to see clustering coefficient in a sentence. 用clustering coefficient造句挺難的
- Thus, the "'local clustering coefficient for directed graphs "'is given as
- Similarly, the clustering coefficient of scale-free networks can vary significantly depending on other topological details.
- Thus, the "'local clustering coefficient for undirected graphs "'can be defined as
- Another important characteristic of scale-free networks is the clustering coefficient distribution, which decreases as the node degree increases.
- Kleinberg has shown that the optimal clustering coefficient for this model is q = 2, or an inverse square distribution.
- Other properties, such as network diameter, average path length, clustering coefficient vary across models depending on the construction.
- For instance, sparse random graphs have a vanishingly small clustering coefficient while real world networks often have a coefficient significantly larger.
- In effect, this allows the average path length of the network to decrease significantly with only slightly decreases in clustering coefficient.
- Neighbourhoods are also used in the clustering coefficient of a graph, which is a measure of the average density of its neighbourhoods.
- As the Watts Strogatz model begins as non-random lattice structure, it has a very high clustering coefficient along with high average path length.
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