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wiki-Talk     (Interaction Networks)

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This network dataset is in the category of Interaction Networks



Visualize ia-wiki-Talk's link structure and discover valuable insights using the interactive network data visualization and analytics platform. Compare with hundreds of other network data sets across many different categories and domains.

Metadata

CategorySparse Networks
CollectionInteraction Networks
Tags
ShortWikipedia talk (communication) network
Vertex typeUser
Edge typeEdit
FormatUndirected
Edge weightsUnweighted
DescriptionOn Wikipedia, each registered user has a talk page, that everyone can edit in order to communicate and discuss updates to various articles on Wikipedia. All user talk page changes were extracted to create a network (using the complete dump of Wikipedia page edit history from January 3, 2008). An undirected edge indicates that user A and user B made edits on each others talk page (i.e., user A edited user B's talk page and vice-versa).

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.

@inproceedings{leskovec2010predicting,
     title={Predicting positive and negative links in online social networks},
     author={Leskovec, Jure and Huttenlocher, Daniel and Kleinberg, Jon},
     booktitle={Proceedings of the 19th international conference on World wide web},
     pages={641--650},
     year={2010},
     organization={ACM}
}

Network Data Statistics

Nodes92.1K
Edges360.8K
Density8.50319e-05
Maximum degree1.2K
Minimum degree1
Average degree7
Assortativity-0.0343552
Number of triangles2.5M
Average number of triangles27
Maximum number of triangles17.7K
Average clustering coefficient0.058909
Fraction of closed triangles0.0468231
Maximum k-core59
Lower bound of Maximum Clique10

Network Data Preview

Interactive visualization of ia-wiki-Talk'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 ia-wiki-Talk 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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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.)
  • We also include the CDF and CCDF distributions for each graph in the collection.
  • All visualizations and plots are zoomable. One may zoom-in or out on the data visualization using scrolling.
  • Panning. Users may also click anywhere on the plot and move the mouse in any direction to pan.
  • Adjust scale and other application dependent-parameters. All interactive visualizations may adjust the scale which is particularly important in certain types of graph data that contain highly skewed graph properties (power-lawed graphs and/or networks) such as degree distribution.