Unicode Language Similarity Network

A Unicode CLDR language data dataset of 868 nodes and 1,255 edges, collected by KONECT via Unicode CLDR. Each record contains directed: False, weighted: True. Bipartite weighted network of languages and Unicode scripts, with edge weights representing similarity scores.. Suitable for linguistic network analysis, language typology, script similarity.

#Bipartite#Konect#Language typology#Unicode cldr#Writing system

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Node size is centrality, colour is community. Hover a node for details; click one to isolate its community.

868
Nodes
1.3K
Edges
3.34e-03
Density
5
Components
-0.1712
Assortativity
0.0%
Reciprocity
565
Bridges
Most central nodes
R180.1626
L1060.07958
R160.06113
R150.04152
L1860.03922
R210.03691
L1580.0323
L1070.03114
L380.02884
L390.02653
Content metrics

1,255 records scored

weight24.1% true
true 24.1%false 75.9%
sign20.3% true
true 20.3%false 79.7%

Computed over the full corpus.

Record

Catalog key
unicodelang
Authors
Kunegis, Jérôme
Year
2013
Source paper
KONECT — The Koblenz Network Collection
License
CC BY-SA 2.0 Germany (as stated by KONECT) (LicenseRef-CC-BY-SA-2.0-DE)
Records
868
Nodes
868
Edges
1,255
Nodes are
language / script
Edges are
script similarity
Attributes
nodes have attributes; edges have attributes
Languages
en
Collected
2010 (2010s)
Tasks
From the graph: link prediction, community detection

Provenance

Originally published at
https://konect.cc/networks/unicodelang/ unverified
Hosted copy
Mirrored on echo.directory on 2026-10-02, 7.8 KB across 1 files. Checksums in MANIFEST.json.

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}
}

@inproceedings{konect,
  title     = {KONECT -- The {Koblenz} Network Collection},
  author    = {Kunegis, J\'{e}r\^{o}me},
  booktitle = {Proc. Int. Conf. on World Wide Web Companion},
  pages     = {1343--1350},
  year      = {2013},
  url       = {http://dl.acm.org/citation.cfm?id=2488173}
}

APA

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

Kunegis, J. (2013). Unicode Language Similarity Network [Data set]. https://unicodelang.echo.directory/

MLA

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

Kunegis, Jérôme. Unicode Language Similarity Network. 2013, unicodelang.echo.directory/.

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