facebook_pages — Facebook verified page networks (2017)

Description

Networks of verified ("blue") Facebook pages, collected through the Facebook Graph API in November 2017 by B. Rozemberczki and collaborators for benchmarks of node embedding and classification methods. Nodes are pages, and an undirected edge connects two pages that like each other (mutual likes). There are two data sets:

• GEMSEC: eight networks of pages of a single category, athletes, artist, company, government, new_sites (news sites), politician, public_figure and tvshow. The pages were reindexed for anonymity, so the networks have no node attributes. The edge lists contain self-loops (from 23 in politician and tvshow to 295 in new_sites), which are kept.
• musae: a network of 22,470 pages of four categories (politicians, governmental organizations, television shows and companies), from the MUSAE study, with the names, Facebook identifiers and categories of the pages, and lists of binary features extracted from the descriptions written by the page owners (only the indices of the features are given, not their meaning). The edge list contains 179 self-loops, which are kept. SNAP no longer offers this data set for download; it was obtained from a pinned snapshot of the SNAP file in the Internet Archive (February 17, 2024).

The networks have the following properties:

• (Node) None in the GEMSEC networks, besides the node indices.
• (Node) facebook_id (musae): the Facebook identifier of the page.
• (Node) name (musae): the name of the page.
• (Node) page_type (musae): its category ("politician", "government", "tvshow" or "company").
• (Node) features (musae): the indices of its binary features.

Tags

Social Online Unweighted Metadata

Added

2026-10-27

Citation

• B. Rozemberczki, R. Davies, R. Sarkar, and C. Sutton, "GEMSEC: Graph Embedding with Self Clustering." Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 65-72 (2019). 10.1145/3341161.3342890 Sci-Hub
• B. Rozemberczki, C. Allen, and R. Sarkar, "Multi-scale attributed node embedding." Journal of Complex Networks 9(2), cnab014 (2021). 10.1093/comnet/cnab014 Sci-Hub

Upstream URL OK

https://snap.stanford.edu/data/gemsec-Facebook.html
https://snap.stanford.edu/data/facebook-large-page-page-network.html
https://web.archive.org/web/20240217063517/https://snap.stanford.edu/data/facebook_large.zip
https://github.com/benedekrozemberczki/datasets

Upstream license

MIT License, https://github.com/benedekrozemberczki/datasets/blob/3b19135105432cbca65765c1113b91c395ed9d44/LICENSE

Networks

Tip: click on a column header to sort the list, or hover over it for a description.

Column legend

$\left<k\right>$

Mean degree

$\sigma_k$

Standard deviation of the degrees

$\lambda_h$

Largest eigenvalue of the Hashimoto (non-backtracking) matrix

$\tau$

Random walk mixing time

$r$

Degree assortativity

$c$

Global clustering coefficient

$\oslash$

(Pseudo-) diameter

$S$

Relative size of the largest component

NPs

Node properties

EPs

Edge properties

Show all columns

Name	Nodes	Edges	$\left<k\right>$	$\sigma_k$	$\lambda_h$	$\tau$	$r$	$c$	$\oslash$	$S$	Kind	Mode	NPs	EPs	gt	GraphML	GML	csv
athletes	13,866	86,858	12.53	18.02	44.36	70.99	-0.03	0.13	11	1.00	Undirected	Unipartite			376 KiB	626 KiB	626 KiB	527 KiB
artist	50,515	819,306	32.44	63.47	176.27	24.64	-0.02	0.05	11	1.00	Undirected	Unipartite			2.2 MiB	4.0 MiB	3.9 MiB	3.8 MiB
company	14,113	52,310	7.41	10.41	30.58	197.52	0.01	0.15	15	1.00	Undirected	Unipartite			319 KiB	500 KiB	497 KiB	411 KiB
government	7,057	89,455	25.35	37.06	102.63	29.66	0.03	0.22	10	1.00	Undirected	Unipartite			245 KiB	434 KiB	434 KiB	396 KiB
new_sites	27,917	206,259	14.78	22.97	59.65	154.15	0.02	0.11	15	1.00	Undirected	Unipartite			799 KiB	1.3 MiB	1.3 MiB	1.2 MiB
politician	5,908	41,729	14.13	20.10	63.02	116.89	0.02	0.30	14	1.00	Undirected	Unipartite			158 KiB	263 KiB	261 KiB	229 KiB
public_figure	11,565	67,114	11.61	21.28	87.77	111.24	0.20	0.17	15	1.00	Undirected	Unipartite			294 KiB	488 KiB	468 KiB	411 KiB
tvshow	3,892	17,262	8.87	12.56	62.93	364.52	0.56	0.59	20	1.00	Undirected	Unipartite			85 KiB	140 KiB	137 KiB	117 KiB
musae	22,470	171,002	15.22	26.41	103.03	224.74	0.09	0.23	15	1.00	Undirected	Unipartite	facebook_id name page_type features		1.3 MiB	1.8 MiB	1.8 MiB	2.1 MiB

Ridiculograms^*

^* These are automatically generated force-directed visualizations, and can be quite meaningless for networks both big and small. They should not be taken seriously as sources of scientific insight. See here for a discussion.