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City Brisbane / Sydney / Marina del Rey / / Company Autonomous Systems / AT&T / China Unicom / Google / Comcast / Fujisawa / Verizon / Intel / / Country Mexico / Egypt / Japan / Australia / China / / / Event Natural Disaster / / Facility Marina del / Keio University / USC/Information Sciences Institute / / IndustryTerm automated tools / particular routers / Internet outage / telecommunications repairs / responsive networks / Internet study / remote network / few assumptions about network / k-means algorithm / visualization algorithm / faster algorithm / Internet topology / Internet Events / Internet address surveys / greedy algorithm / powered-off secondhop router / network operator / Internet shutdown / Internet outage study / web-based browser / Internet surveys / search space / / Organization Information Sciences Institute / USC/Information Sciences Institute / Mubarak government / Keio University / / Person Lin Quan / Yuri Pradkin / John Heidemann / Visualizing Sparse / / Product Visualizing Network Outages Our / Closeness Threshold Our / / ProvinceOrState California / Colorado / / Region eastern Australia / east coast of Australia / / Technology faster algorithm / powered-off secondhop router / clustering visualization algorithm / clustering algorithm / shared router / k-means algorithm / Closeness Threshold Our clustering algorithm / 3 Algorithm / IPv4 / /
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Visualizing Sparse Internet Events: Network Outages and Route Changes Lin Quan · John Heidemann · Yuri Pradkin Received: 30 AugustAccepted: 8 November 2012