Efeito do confinamento causado pela pandemia Covid-19 nos perfis de tráfego residencial
Abstract
Most countries have been implementing lockdown measures to mitigate the spread of the Covid-19 virus. Home officing, distance learning, and home entertainment have become commonplace, affecting Internet home traffic. We analyze the domestic Internet traffic from 13 cities in the state of Rio de Janeiro for several months during 2020 since the social isolation took effect on March 16 2020. We use residential traffic data provided by an Internet Service Provider to compare traffic immediately before and after the start of quarantine in cities in the state of Rio de Janeiro. We use tensor decomposition, clustering and classification to identify distinct residential traffic profiles. We find that 20% of residences changed their daily profiles imediatelly after the lockdown. We also compare traffic profiles against Google's mobility data. Our results indicate that it is possible to assess the adherence of the cities population to confinement measures using very simple traffic metrics, which do not compromise users' privacy.
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