Facebook Social Connectedness Index

Meta's Social Connectedness Index (SCI): the relative probability that two Facebook users in two places are friends, scaled so that the most connected pair is 1,000,000,000. This package is the release distributed on HDX, at several resolutions: country to country, GADM level 1 and 2 regions, geoBoundaries ADM1 and ADM2, EU NUTS 1 to 3 (2024), US counties and US ZIP code tabulation areas, with region-to-country lookups and the methodology paper. Suitable for research on social ties, migration, trade and economic spillovers between regions.

#Aggregate data#Regional economics#Social connectedness index#Us county

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 3,204 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

3.2K
Nodes
5.1M
Edges
1.00e+00
Density
1
Components
0.0%
Reciprocity
0
Bridges
Most central nodes
010011.001
010031.001
010051.001
010071.001
010091.001
010111.001
010131.001
010151.001
010171.001
010191.001

Computed over the full corpus.

Record

Catalog key
social-connectedness-index
Authors
Johnston, Drew; Kuchler, Theresa; Kulkarni, Manas; Stroebel, Johannes
Year
2026
Source paper
The Social Connectedness Index: A large-scale dataset of social ties across geographic locations
DOI / arXiv
10.1016/j.dib.2026.112905
License
Creative Commons Attribution 4.0 International (CC BY 4.0) (CC-BY-4.0)
Records
3,204
Nodes
3,204
Edges
5,134,410
Nodes are
county
Edges are
social connectedness
Attributes
nodes have no attributes; edges have attributes
Languages
en
Collected
2025-2026 (2020s)
Tasks
From the graph: link prediction, community detection
Region
United States · North America (inferred: named in the description)

Provenance

Originally published at
https://data.humdata.org/dataset/social-connectedness-index unverified
Hosted copy
Mirrored on echo.directory on 2026-10-21, 16.3 GB across 20 files. Checksums in MANIFEST.json.

Citations

The Social Connectedness Index: A large-scale dataset of social ties across geographic locations
Drew Johnston, Theresa Kuchler, Manas Kulkarni, Johannes Stroebel
Journal Article · Data in Brief · 2026

0
citations
few citations so far
0
influential citations

Citation data from Semantic Scholar, retrieved 2026-10-20.

How to cite

BibTeX

@misc{echo2026,
  title  = {ECHO: Exploratory Compendium of Humanity Online},
  author = {Switzer, Braden and Zafarani, Reza},
  year   = {2026},
  url    = {https://echo.directory},
  note   = {Syracuse University}
}

@article{Johnston_2026,
  title     = {The Social Connectedness Index: A large-scale dataset of social ties across geographic locations},
  volume    = {67},
  issn      = {2352-3409},
  url       = {http://dx.doi.org/10.1016/j.dib.2026.112905},
  doi       = {10.1016/j.dib.2026.112905},
  journal   = {Data in Brief},
  publisher = {Elsevier BV},
  author    = {Johnston, Drew and Kuchler, Theresa and Kulkarni, Manas and Stroebel, Johannes},
  year      = {2026},
  month     = Aug,
  pages     = {112905}
}

APA

Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory

Johnston, D., Kuchler, T., Kulkarni, M., & Stroebel, J. (2026). Facebook Social Connectedness Index [Data set]. https://doi.org/10.1016/j.dib.2026.112905

MLA

Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.

Johnston, Drew, et al. Facebook Social Connectedness Index. 2026, doi.org/10.1016/j.dib.2026.112905.

BibTeX · RIS · CSL-JSON

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