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Pandemic Wave-Based Influence Analysis of Social Media Information
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Effective influence estimation in twitter using temporal, profile, structural and interaction characteristics
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Patterns of Social Media Use and Their Relationship to Health Risks Among Young Adults
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Recommending links through influence maximization
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Analysis of Linguistic Complexity in Professional and Citizen Media
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Community Mitigation Strategies, Mobility, and COVID-19 Incidence Across Three Waves in the United States in 2020
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The Use and Abuse of Social Media for Spreading Fake News
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Discovering Influential Twitter Authors Via Clustering And Ranking On Apache Storm
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Multiplex Influence Maximization in Online Social Networks With Heterogeneous Diffusion Models
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Healthcare Operations and Black Swan Event for COVID-19 Pandemic: A Predictive Analytics
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Impact of multiple waves of COVID-19 on healthcare networks in the United States
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Twitter Sentiment Analysis during COVID19 Outbreak
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Spreading social influence with both positive and negative opinions in online networks
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Words for Sale: Linguistic Complexity Associates with Higher Housing Prices in Online Realty Advertisements
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Twitter interaction between audiences and influencers. Sentiment, polarity, and communicative behaviour analysis methodology
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Changes in Diet, Sleep, and Physical Activity Are Associated With Differences in Negative Mood During COVID-19 Lockdown
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Time and Emotion During Lockdown and the Covid-19 Epidemic: Determinants of Our Experience of Time?
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Evaluating Polarity Trend Amidst the Coronavirus Crisis in Peoples’ Attitudes toward the Vaccination Drive
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Structural Vulnerability in the U.S. Revealed in Three Waves of COVID-19
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Social Contagion: An Empirical Study of Information Spread on Digg and Twitter Follower Graphs
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Influence of Rational and Emotional Appeals on Purchasing Through Online: The Case on Social Media
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Overview of the characteristics of and responses to the three waves of COVID-19 in Japan during 2020-2021
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Improved Twitter Virality Prediction using Text and RNN-LSTM
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