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ia-slashdot-reply-dir     (Dynamic Networks)

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This network is in the collection of Dynamic Networks





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Metadata

CategorySparse Networks
Tags
ShortSlashdot reply network
Vertex typeUser
Edge typeReply
FormatDirected
Edge weightsMultigraph, unweighted
MetadataTime, loop
DescriptionReply network of technology website Slashdot. Nodes are users and edges are replies. The edges are directed and start from the responding user. Edges are annotated with the timestamp of the reply. Third column is the edge weight and edge timestamps are found in the fourth column.

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{gomez2008statistical,
     title={Statistical analysis of the social network and discussion threads in slashdot},
     author={G{\'o}mez,
Vicen{\c{c}
} and Kaltenbrunner,
Andreas and L{\'o}pez,
Vicente},
     booktitle={Proceedings of the 17th international conference on World Wide Web},
     pages={645--654},
     year={2008},
     organization={ACM}
}

Network Statistics

Nodes51.1K
Edges139.8K
Density0.000107142
Maximum degree3.4K
Minimum degree1
Average degree5
Assortativity-0.0293716
Number of triangles130.6K
Average number of triangles2
Maximum number of triangles9.7K
Average clustering coefficient0.0259495
Fraction of closed triangles0.00915838
Maximum k-core31
Lower bound of Maximum Clique6

Data Preview

Interactive visualization of ia-slashdot-reply-dir'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.)
  • We also include the CDF and CCDF distributions for each graph in the collection.
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