ArticleScientific reports2014
Network structure and community evolution on Twitter: human behavior change in response to the 2011 Japanese earthquake and tsunami.
Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Analyzing Social Media to Infer Mental Health Status and Affective States for Crisis and Disaster Management: Scoping Review.Journal of medical Internet research · 2026Article
- Stigma Attitudes Toward HIV/AIDS From 2011 Through 2023 in Japan: Retrospective Study in Japan.Journal of medical Internet research · 2025Article
- Early warning signals for predicting cryptomarket vendor success using dark net forum networks.Scientific reports · 2024Article
- Artificial Intelligence Techniques Used to Extract Relevant Information from Complex Social Networks.Entropy (Basel, Switzerland) · 2023Article
- Revealing Public Opinion towards the COVID-19 Vaccine with Weibo Data in China: BertFDA-Based Model.International journal of environmental research and public health · 2022Article
- Social Media User Behavior and Emotions during Crisis Events.International journal of environmental research and public health · 2022Article
- Individual and collective learning in groups facing danger.Scientific reports · 2022Article
- Using big data for evaluating development outcomes: A systematic map.Campbell systematic reviews · 2021Article
- Social Media Behavior and Emotional Evolution during Emergency Events.Healthcare (Basel, Switzerland) · 2021Article
- Network Structure and Community Evolution Online: Behavioral and Emotional Changes in Response to COVID-19.Frontiers in public health · 2021Article
- Themes, communities and influencers of online probiotics chatter: A retrospective analysis from 2009-2017.PloS one · 2021Article
- A comparative analysis for spatio-temporal spreading patterns of emergency news.Scientific reports · 2020Article
- Changing Emotions About Fukushima Related to the Fukushima Nuclear Power Station Accident-How Rumors Determined People's Attitudes: Social Media Sentiment Analysis.Journal of medical Internet research · 2020Article
- Network Evolution of a Large Online MSM Dating Community: 2005-2018.International journal of environmental research and public health · 2019Article
- Analysis of the Regionality of the Number of Tweets Related to the 2011 Fukushima Nuclear Power Station Disaster: Content Analysis.JMIR public health and surveillance · 2018Article
- Relationships Among Tweets Related to Radiation: Visualization Using Co-Occurring Networks.JMIR public health and surveillance · 2018Article
- Analyzing hidden populations online: topic, emotion, and social network of HIV-related users in the largest Chinese online community.BMC medical informatics and decision making · 2018Article
- Anatomy of an online misinformation network.PloS one · 2018Article
- Measuring Audience Engagement for Public Health Twitter Chats: Insights From #LiveFitNOLA.JMIR public health and surveillance · 2017Article
- Towards a standard sampling methodology on online social networks: collecting global trends on Twitter.Applied network science · 2016Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To investigate the dynamics of social networks and the formation and evolution of online communities in response to extreme events, we collected three datasets from Twitter shortly before and after the 2011 earthquake and tsunami in Japan. We find that while almost all users increased their online activity after the earthquake, Japanese speakers, who are assumed to be more directly affected by the event, expanded the network of people they interact with to a much higher degree than English speakers or the global average. By investigating the evolution of communities, we find that the behavior of joining or quitting a community is far from random: users tend to stay in their current status and are less likely to join new communities from solitary or shift to other communities from their current community. While non-Japanese speakers did not change their conversation topics significantly after the earthquake, nearly all Japanese users changed their conversations to earthquake-related content. This study builds a systematic framework for investigating human behaviors under extreme events with online social network data and our findings on the dynamics of networks and communities may provide useful insight for understanding how patterns of social interaction are influenced by extreme events.
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