country-as-hegemony


Namecountry-as-hegemony JSON
Version 0.2.0 PyPI version JSON
download
home_pagehttps://github.com/InternetHealthReport/country-as-hegemony
SummaryMeasuring AS dependency of a country or region
upload_time2022-12-26 02:19:47
maintainer
docs_urlNone
authorRomain Fontugne
requires_python
license
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # country-as-hegemony: Measuring AS dependency of a country

## Installation

``````
pip install country-as-hegemony
``````


## Example

To get the AS dependencies of Japan, run the following command:
```
$ country-hege JP
# Found 166 eyeball networks in JP on 2019-09-29T00:00:00+00:00
2914, 0.27661613861709505, +
2516, 0.25968996183607757, +
17676, 0.1974546945536009, +
4713, 0.15525111414563947, +
1299, 0.13595634758208053, -
9605, 0.10072894639780244, +
174, 0.08765424779438354, -
2497, 0.06338680212620768, +
9824, 0.05253467345731747, +
2527, 0.03509657300628496, +
```
The '+' represent eyeball networks, the '-' are transit networks. These results are biasied towards big eyeballs networks. 
The -r option remove eyeballs networks from the AS hegemony computation.

```
$ country-hege JP -r
# Found 166 eyeball networks in JP on 2019-09-29T00:00:00+00:00
2914, 0.27580372217582483, +
1299, 0.13595634758208053, -
174, 0.08765424779438354, -
2516, 0.05994903574329003, +
2497, 0.04637372262121612, +
3356, 0.027235210986714956, -
9824, 0.021176697891166645, +
3491, 0.0191735214924131, -
2519, 0.01604299099396895, +
3257, 0.01316708668625293, -
```

## Notes

- The IHR results before October 2020 are computed with the AS population obtained in October 15th, 2020.


## References
This is a follow up of the work done at APRICOT19 Hackathon: https://github.com/munhyunsu/APRICOT19
AS Hegemony: https://ihr.iijlab.net/ihr/hegemony/

            

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