ﻻ يوجد ملخص باللغة العربية
The Covid-19 pandemic has radically changed our lives. Under different circumstances, people react to it in various ways. One way is to work-from-home since lockdown has been announced in many regions around the world. For some places, however, we dont know if people really work from home due to the lack of information. Since there are lots of uncertainties, it would be helpful for us to understand what really happen in these places if we can detect the reaction to the Covid-19 pandemic. Working from home indicates that people have changed the way they interact with the Internet. People used to access the Internet in the company or at school during the day. Now it is more likely that they access the Internet at home in the daytime. Therefore, the network usage changes in one place can be used to indicate if people in this place actually work from home. In this work, we reuse and analyze Trinocular outages data (around 5.1M responsive /24 blocks) over 6 months to find network usage changes by a new designed algorithm. We apply the algorithm to sets of /24 blocks in several cities and compare the detected network usage changes with real world covid-19 events to verify if the algorithm can capture the changes reacting to the Covid-19 pandemic. By applying the algorithm to all measurable /24 blocks to detect network usages changes, we conclude that network usage can be an indicator of the reaction to the Covid-19 pandemic.
Policy makers have implemented multiple non-pharmaceutical strategies to mitigate the COVID-19 worldwide crisis. Interventions had the aim of reducing close proximity interactions, which drive the spread of the disease. A deeper knowledge of human ph
Computational measures of linguistic diversity help us understand the linguistic landscape using digital language data. The contribution of this paper is to calibrate measures of linguistic diversity using restrictions on international travel resulti
The COVID-19 pandemic has had a wide-ranging impact on information workers such as higher stress levels, increased workloads, new workstreams, and more caregiving responsibilities during lockdown. COVID-19 also caused the overwhelming majority of inf
The mass shift to working at home during the COVID-19 pandemic radically changed the way many software development teams collaborate and communicate. To investigate how team culture and team productivity may also have been affected, we conducted two
Since March 2020, companies nationwide have started work from home (WFH) due to the rapid increase of confirmed COVID-19 cases in an attempt to help prevent the coronavirus from spreading and rescue the economy from the pandemic. Many organizations h