world_languages — Official languages of the world's countries (2015)
- Description
A bipartite network of countries and territories and their official languages, from the "World Languages" dataset of the University of Groningen, compiled from the CIA World Factbook of 2015 and distributed by Resource Watch (dataset soc.071). An official language is a language given a special legal status in a country and used in administrative settings by its government. The data list up to three official languages for each of 234 countries, dependencies and other territories; each country is connected to its first, second and third official languages, when present. Some language entries are generic designations, e.g. "Indigenous", "Creole" or "Regional Chinese".
The network has the following properties:
- Nodes:
name, the name of the country or territory, or of the language;is_language, whether the node is a language (otherwise a country or territory). - Country nodes:
sovereignty, the sovereign state the territory belongs to;type, the political status of the territory ("Sovereign country", "Country", "Dependency", "Disputed" or "Indeterminate");world_language, the category of world language(s) among English, French, Arabic, Spanish, Portuguese, Chinese and Russian that are official in the country, as given in the source (e.g. "English_French", or "Other"). - Edges:
rank, the rank of the official language in the source (1, 2 or 3, for the first, second and third official language).
- Nodes:
- Tags
- Language Unweighted Metadata
- Citation
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- University of Groningen, "World Languages." University of Groningen Open Data (2016), accessed through Resource Watch resourcewatch.org
- Upstream URL OK
- https://resourcewatch.org/data/explore/20662342-dcdd-4a42-9f58-bcc80217de71
- Upstream license
- Open, with attribution to CIA World Factbook, University of Groningen, https://www.arcgis.com/home/item.html?id=5c6ec52c374249a781aede5802994c95
- Networks
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Tip: hover over a column header 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