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ia-stackexch-user-marks-post-und     (Dynamic Networks)

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This network dataset is in the category of Dynamic Networks



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Metadata

CategorySparse Networks
Tags
ShortStack Overflow favorite network
Vertex typeUser, post
Edge typeFavorite
FormatBipartite
Edge weightsUnweighted
DescriptionStack Overflow is the main question and answer website of the Stack Exchange Network. This network is a bipartite Stack Overflow favorite network. Nodes represent users and posts. An edge denotes that a user has marked a post as a favorite. Third column is the edge weight and fourth column is the timestamp of the edge.

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.

@misc{ia-stackexchange-user-marks-post-und,
     title = {Stack Exchange Data Explorer},
     author = {{Stack Exchange Inc.}},
     year = {2011},
     howpublished = {\url{http://data.stackexchange.com/}},
}

Network Data Statistics

Nodes545.2K
Edges1.3M
Density8.76348e-06
Maximum degree6.1K
Minimum degree1
Average degree4
Assortativity-0.0496769
Number of triangles230.4K
Average number of triangles0
Maximum number of triangles11.9K
Average clustering coefficient0.00128994
Fraction of closed triangles0.00106668
Maximum k-core26
Lower bound of Maximum Clique6

Network Data Preview

Interactive visualization of ia-stackexch-user-marks-post-und'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-stackexch-user-marks-post-und 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
  • Zoom in/out on the visualization you created at any point by using the buttons below on the left.
  • Once a subset of interesting nodes are selected, the user may further analyze by selecting and drilling down on any of the interesting properties using the left menu below.
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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.