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lasagne-spanishbook     (Miscellaneous Networks)

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This network is in the collection of Miscellaneous Networks





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Metadata

NameSpanish book
CategorySparse Networks
CollectionSB
ShortSpanish book
Vertex typeWord
Edge typeAdjacency
FormatDirected
Edge weightsMultiple unweighted edges
DescriptionThese are word adjacency relationships of a Spanish book. Nodes in the network are words and an edge denotes that two words occurred one after another in the book. It is not known which book was used. The network is directed, i.e., the edge (u,v) denotes that word u was followed by word v. Multiple edges are included, as each edge denotes a single occurence of a word adjacency. Since a word can occur twice in a row, the network contains loops.

Please cite the following if you use the data:

@inproceedings{nr,
     title={The Network Data Repository with Interactive Graph Analytics and Visualization},
     author={Ryan A. Rossi and Nesreen K. Ahmed},
     booktitle={AAAI},
     url={https://networkrepository.com},
     year={2015}
}

Note that if you transform/preprocess the data, please consider sharing the data by uploading it along with the details on the transformation and reference to any published materials using it.

Network Statistics

Nodes12.6K
Edges57.8K
Density0.00072288
Maximum degree5.5K
Minimum degree1
Average degree9
Assortativity-0.298547
Number of triangles518.4K
Average number of triangles41
Maximum number of triangles29.5K
Average clustering coefficient0.668493
Fraction of closed triangles0.0100181
Maximum k-core36
Lower bound of Maximum Clique15

Data Preview

Interactive visualization of lasagne-spanishbook's graph structure

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Interactive Visualization of Node-level Properties and Statistics

Tools for Interactive Exploration of Node-level Statistics

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  • Each point represents a node (vertex) in the graph.
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Interactive Visualization of Node-level Feature Distributions

Node-level Feature Distributions

degree distribution

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degree CDF

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degree CCDF

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kcore distribution

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kcore CDF

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kcore CCDF

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triangle distribution

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triangle CDF

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triangle CCDF

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All visualizations and analytics are interactive and flexible for exploratory analysis and data mining in real-time and include the following features:

  • Degree, k-core, triangles, and triangle-core distributions. We include plots for each of the fundamental graph features and counts of the number with a particular property (i.e., number of nodes that form k triangles or have degree k, etc.)
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