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        "author": "Romain Fontugne",
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        "description": "# country-as-hegemony: Measuring AS dependency of a country\n\n## Installation\nRequirement: https://github.com/InternetHealthReport/abondance\n\n## Example\n\nTo get the AS dependencies of Japan, run the following command:\n```\n$ python3 country-hege.py JP\n# Found 166 eyeball networks in JP on 2019-09-29T00:00:00+00:00\n2914, 0.27661613861709505, +\n2516, 0.25968996183607757, +\n17676, 0.1974546945536009, +\n4713, 0.15525111414563947, +\n1299, 0.13595634758208053, -\n9605, 0.10072894639780244, +\n174, 0.08765424779438354, -\n2497, 0.06338680212620768, +\n9824, 0.05253467345731747, +\n2527, 0.03509657300628496, +\n```\nThe '+' represent eyeball networks, the '-' are transit networks. These results are biasied towards big eyeballs networks. \nThe -r option remove eyeballs networks from the AS hegemony computation.\n\n```\n$ python3 country-hege.py JP -r\n# Found 166 eyeball networks in JP on 2019-09-29T00:00:00+00:00\n2914, 0.27580372217582483, +\n1299, 0.13595634758208053, -\n174, 0.08765424779438354, -\n2516, 0.05994903574329003, +\n2497, 0.04637372262121612, +\n3356, 0.027235210986714956, -\n9824, 0.021176697891166645, +\n3491, 0.0191735214924131, -\n2519, 0.01604299099396895, +\n3257, 0.01316708668625293, -\n```\n\n\n\n## References\nThis is a follow up of the work done at APRICOT19 Hackathon: https://github.com/munhyunsu/APRICOT19\nAS Hegemony: https://ihr.iijlab.net/ihr/hegemony/\n\n\n",
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        "name": "country-as-hegemony",
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        "summary": "Measuring AS dependency of a country",
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