Datasets

This page is a collection of datasets acquired for my research activity.

Two terms of usage apply:

  • The appropriate papers are cited in any research product whose findings are based on these datasets
  • The datasets cannot be redistributed

Instagram Dataset

[README]

Source: Public media and user information from Instagram.com (through Instagram API).
Crawling period: Jan 20 – Feb 17, 2014.
Description: The media dataset contains records of the form: the anonymized media ID, the anonymized ID of the user who created the media, the timestamp of media creation, the set of tags assigned to the media, the number of likes and the number of comments it received. The anonymized user network contains asymmetric relations (A follows B); each edge is associated with #likes (by A to media created by B), #comments and the list of comments’ timestamps.

Size

Media dataset: 1.7M media associated to 2K users, with 9M tags, 1200M likes, and 41M comments.
User network: about 45K vertices and 678K edges.

Download

Media dataset: about 51MB (200MB uncompressed).
User network: about 21MB (7MB uncompressed).

Used in (please cite)

Emilio Ferrara, Roberto Interdonato, Andrea Tagarelli.
Online Popularity and Topical Interests through the lens of Instagram.
In Proc. 25th ACM Conference on Hypertext and Social Media, September 1–4, 2014, Santiago, Chile.

Facebook Datasets

During August 2010, I have collected two samples of the Facebook friendship graph, by adopting two techniques:

  1. Breadth First Search (BFS) traversal algorithm

    It contains about 7 millions of nodes and 12 millions of edges

  2. Uniform (UNI) sampling approach (rejection sampling)

    It contains about 7 millions of nodes and 7 millions of edges

Related Papers

The following papers are based on these datasets.
Please cite those which are relevant to your research if you use any Facebook dataset.

  1. S. Catanese, P. De Meo, E. Ferrara, G. Fiumara, and A. Provetti.
    Extraction and analysis of Facebook friendship relations.
    Computational Social Networks: Mining and Visualization, pp 291-324, 2012.

    Useful links: PDF | Book page

  2. S. Catanese, P. De Meo, E. Ferrara, G. Fiumara, and A. Provetti.
    Crawling Facebook for social network analysis purposes.
    WIMS ’11: Proceedings of the International Conference on Web Intelligence, Mining and Semantics, 2011.

    Useful links: PDF | ACM | Arxiv

  3. E. Ferrara.
    Community structure discovery in Facebook.
    International Journal of Social Network Mining, 1(1):67-90, 2012.

    Useful links: PDF | Journal page

  4. E. Ferrara.
    A large-scale community structure analysis in Facebook.
    EPJ Data Science, 1(9):1-30, 2012.

    Useful links: PDF | Journal page | Arxiv

Download Facebook datasets

Data are provided using the “edge list” format, tab divided.
UserIDs are anonymized.

BFS sample

ReadMe
Request BFS sample

UNI sample

ReadMe
Request UNI sample

LEAVE A COMMENT

theme by teslathemes