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The recent COVID-19 pandemic has caused unprecedented impact across the globe. We have also witnessed millions of people with increased mental health issues, such as depression, stress, worry, fear, disgust, sadness, and anxiety, which have…

社会与信息网络 · 计算机科学 2020-07-07 Jianlong Zhou , Hamad Zogan , Shuiqiao Yang , Shoaib Jameel , Guandong Xu , Fang Chen

With the outbreak of the Covid-19 virus, the activity of users on Twitter has significantly increased. Some studies have investigated the hot topics of tweets in this period; however, little attention has been paid to presenting and…

社会与信息网络 · 计算机科学 2021-10-06 Faezeh Azizi , Hamed Vahdat-Nejad , Hamideh Hajiabadi , Mohammad Hossein Khosravi

Current methods for the detection of contagious outbreaks give contemporaneous information about the course of an epidemic at best. Individuals at the center of a social network are likely to be infected sooner, on average, than those at…

物理与社会 · 物理学 2011-07-26 Nicholas A. Christakis , James H. Fowler

COVID-19 has disrupted the global economy and well-being of people at an unprecedented scale and magnitude. To contain the disease, an effective early warning system that predicts the locations of outbreaks is of crucial importance. Studies…

社会与信息网络 · 计算机科学 2020-10-27 Takahiro Yabe , Kota Tsubouchi , Satish V Ukkusuri

The COVID-19 pandemic has affected people's lives around the world on an unprecedented scale. We intend to investigate hoarding behaviors in response to the pandemic using large-scale social media data. First, we collect hoarding-related…

社会与信息网络 · 计算机科学 2021-06-29 Xupin Zhang , Hanjia Lyu , Jiebo Luo

When people notice something unusual, they discuss it on social media. They leave traces of their emotions via text expressions. A systematic collection, analysis, and interpretation of social media data across time and space can give…

社会与信息网络 · 计算机科学 2020-08-31 Md Abul Bashar , Richi Nayak , Thirunavukarasu Balasubramaniam

When the novel coronavirus disease SARS-CoV2 (COVID-19) was officially declared a pandemic by the WHO in March 2020, the scientific community had already braced up in the effort of making sense of the fast-growing wealth of data gathered by…

种群与进化 · 定量生物学 2020-05-25 Timoteo Carletti , Duccio Fanelli , Francesco Piazza

The outbreak of the SARS-CoV-2 novel coronavirus (COVID-19) has been accompanied by a large amount of misleading and false information about the virus, especially on social media. During the pandemic social media gained special interest as…

社会与信息网络 · 计算机科学 2022-02-11 Guillermo Romera Rodriguez , Sanjana Gautam , Andrea Tapia

Following the wave of misinterpreted, manipulated and malicious information growing on the Internet, the misinformation surrounding COVID-19 has become a paramount issue. In the context of the current COVID-19 pandemic, social media posts…

社会与信息网络 · 计算机科学 2021-05-18 Drishti Jain , Tavpritesh Sethi

The COVID-19 pandemic has led to the emergence of Long COVID, a cluster of symptoms that persist after infection. Long COVID patients may also experience mental health challenges, making it essential to understand individuals' emotional and…

社会与信息网络 · 计算机科学 2023-07-18 Guocheng Feng , Huaiyu Cai , Wei Quan

We study the perception of COVID-2019 epidemic in Polish society using quantitative analysis of its digital footprints on the Internet (on Twitter, Google, YouTube, Wikipedia and electronic media represented by Event Registry) from January…

社会与信息网络 · 计算机科学 2020-04-02 Andrzej Jarynowski , Monika Wojta-Kempa , Vitaly Belik

As the COVID-19 pandemic swept over the world, people discussed facts, expressed opinions, and shared sentiments on social media. Since the reaction to COVID-19 in different locations may be tied to local cases, government regulations,…

社会与信息网络 · 计算机科学 2022-01-07 Yunhe Feng , Wenjun Zhou

The COVID-19 pandemic has, worldwide and up to December 2020, caused over 1.7 million deaths, and put the world's most advanced healthcare systems under heavy stress. In many countries, drastic restrictive measures adopted by political…

We present a robust data-driven machine learning analysis of the COVID-19 pandemic from its early infection dynamics, specifically infection counts over time. The goal is to extract actionable public health insights. These insights include…

种群与进化 · 定量生物学 2020-04-06 Malik Magdon-Ismail

As COVID-19 ravages the world, social media analytics could augment traditional surveys in assessing how the pandemic evolves and capturing consumer chatter that could help healthcare agencies in addressing it. This typically involves…

计算与语言 · 计算机科学 2023-03-23 Yuhang Jiang , Ramakanth Kavuluru

The human severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2), causing the COVID-19 disease, has continued to spread all over the world. It menacingly affects not only public health and global economics but also mental health and…

社会与信息网络 · 计算机科学 2023-04-03 Qihuang Zhang , Grace Y. Yi , Li-Pang Chen , Wenqing He

In confronting the global spread of the coronavirus disease COVID-19 pandemic we must have coordinated medical, operational, and political responses. In all efforts, data is crucial. Fundamentally, and in the possible absence of a vaccine…

The COVID-19 pandemic has created widespread health and economical impacts, affecting millions around the world. To better understand these impacts, we present the TweetCOVID system that offers the capability to understand the public…

社会与信息网络 · 计算机科学 2021-03-03 Jolin Shaynn-Ly Kwan , Kwan Hui Lim

Social media data can be a very salient source of information during crises. User-generated messages provide a window into people's minds during such times, allowing us insights about their moods and opinions. Due to the vast amounts of…

社会与信息网络 · 计算机科学 2020-08-28 Anna Kruspe , Matthias Häberle , Iona Kuhn , Xiao Xiang Zhu

COVID19 was first reported in England at the end of January 2020, and by mid-June over 150,000 cases were reported. We assume that, similarly to influenza-like illnesses, people who suffer from COVID19 may query for their symptoms prior to…

信息检索 · 计算机科学 2020-07-24 Elad Yom-Tov , Vasileios Lampos , Ingemar J. Cox , Michael Edelstein