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adjnoun-adjacency     (Miscellaneous Networks)

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This network is in the collection of Miscellaneous Networks





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Metadata

NameDavid Copperfield
CategorySparse Networks
CollectionAN
ShortDavid Copperfield
Vertex typeWord
Edge typeAdjacency
FormatUndirected
Edge weightsUnweighted
DescriptionThis is the undirected network of common noun and adjective adjacencies for the novel David Copperfield by English 19th century writer Charles Dickens. A node represents either a noun or an adjective. An edge connects two words that occur in adjacent positions. The network is not bipartite, i.e., there are edges connecting adjectives with adjectives, nouns with nouns and adjectives with nouns.

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={http://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

Nodes112
Edges425
Density0.0683719
Maximum degree49
Minimum degree1
Average degree7
Assortativity-0.129348
Number of triangles852
Average number of triangles7
Maximum number of triangles137
Average clustering coefficient0.17284
Fraction of closed triangles0.156935
Maximum k-core7
Lower bound of Maximum Clique5

Data Preview

Interactive visualization of adjnoun_adjacency's graph structure

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Interactive Visualization of Node-level Properties and Statistics

Tools for Interactive Exploration of Node-level Statistics

Visualize and interactively explore adjnoun-adjacency and its important node-level statistics!

  • Each point represents a node (vertex) in the graph.
  • A subset of interesting nodes may be selected and their properties may be visualized across all node-level statistics. To select a subset of nodes, hold down the left mouse button while dragging the mouse in any direction until the nodes of interest are highlighted.This feature allows users to explore and analyze various subsets of nodes and their important interesting statistics and properties to gain insights into the graph data
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  • We also have tools for interactively visualizing, comparing, and exploring the graph-level properties and statistics.
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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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coloring distribution

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coloring CDF

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coloring CCDF

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kcore distribution

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kcore CDF

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kcore CCDF

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tcore distribution

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tcore CDF

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tcore 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.)
  • We also include the CDF and CCDF distributions for each graph in the collection.
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