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AS Rank: Information for a single Org: Org Member ASes

This page presents the BETA version of AS Rank, CAIDA's ranking of Autonomous Systems (AS) (which approximately map to Internet Service Providers) and organizations (Orgs) (which are a collection of one or more ASes). This ranking is derived from topological data collected by CAIDA's Archipelago Measurement Infrastructure and Border Gateway Protocol (BGP) routing data collected by the Route Views Project and RIPE NCC.

ASes and Orgs are ranked by their customer cone size, which is the number of their direct and indirect customers. Note: We do not have data to rank ASes (ISPs) by traffic, revenue, users, or any other non-topological metric.


Org Member ASes Help
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Dataset:

The ASes that are members of the Org Bandcon are shown below.
To select a different Org, enter the name of the Org:

Org name: Bandcon
Org rank: 519
Number of ASes: 1
AS degree: 32
Org degree: 31
Customer Cone size 30

The table below shows ASes that are members of Bandcon. The highlighted row shows data the Org's customer cone for ease of comparison with the member ASes customer cones.

Table shows 1 of 1 ASes,  sorted by 

AS rank AS number AS name customer cone AS degree
Number of Percentages of all
ASes IPv4 Prefixes IPv4 Addresses ASes IPv4 Prefixes IPv4 Addresses
Bandcon 30 293 342,112
0.07%
0.07%
0.01%
32
534 26769 BANDCON 30 293 342,112
0.07%
0.07%
0.01%
32
data sources
geolocation database 2012.06.25 netacuity
organization whois 0000.00.00 JPNIC, KRNIC, LACNIC
2012.06.29 AFRINIC, APNIC, ARIN, LACNIC, RIPE
topology BGP 2013.04.01, 2013.04.02, 2013.04.03, 2013.04.04, 2013.04.05 ripe rrc00, rrc03, rrc04, rrc05, rrc06, rrc07, rrc10, rrc12, rrc13, rrc14, rrc15
routeviews eqix, isc, jinx, kixp, linx, routeviews2, saoppaulo, sydney, telxatl, wide

Corrections?

Do you find these relationships to be inconsistent with your own knowledge? We invite those with authoritative ground truth to provide corrections on our relationship inferences for the selected Organization, Bandcon.


Support for this work is provided by the U.S. Department of Homeland Security's Science and Technology Directorate (Project N66001-08-C-2029), the National Science Foundation Internet Laboratory for Empirical Network Science (Project CNS-0958547), and Cisco's University Research Program.
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