Congress Co-authorship Data

Overview

We have joined the two datasets below to create 8 separate attributed graphs in MATLAB format.

  • Data for congressmen names is retrieved from here.
  • Data for the bills introduced to the house is taken from here.
Download

Details

  • A An NxN adjacency matrix
  • A_label Node names (names of congressmen)
  • F Attribute matrix. Each row is a node and each column is an attribute.
  • F_labelName of each attribute.
  • dataset_nameThe name of the dataset.

Cite

If you find this dataset useful in your research, we ask that you cite the following paper:

@inproceedings{Rezaei:2017:TBC:3041021.3055138,
    author = {Rezaei, Aria and Perozzi, Bryan and Akoglu, Leman},
    title = {Ties That Bind: Characterizing Classes by Attributes and Social Ties},
    booktitle = {Proceedings of the 26th International Conference on World Wide Web Companion},
    series = {WWW '17 Companion},
    year = {2017},
    isbn = {978-1-4503-4914-7},
    location = {Perth, Australia},
    pages = {973--981},
    numpages = {9},
    url = {https://doi.org/10.1145/3041021.3055138},
    doi = {10.1145/3041021.3055138},
    acmid = {3055138},
    publisher = {International World Wide Web Conferences Steering Committee},
    address = {Republic and Canton of Geneva, Switzerland},
    keywords = {attributed graphs, community understanding, homophily, social networks, subspace discovery},
}