Emergency information diffusion on online social media during storm Cindy in U.S.

Community structure in social and biological networks

Girvan, M., & Newman, M. E. J. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.122653799 · Cited by 15,502 · see citing works

Finding and evaluating community structure in networks

Newman, M. E. J., & Girvan, M. (2004) · Physical Review E · doi:10.1103/physreve.69.026113 · Cited by 13,931 · see citing works

Community detection in graphs

Fortunato, S. (2010) · Physics Reports · doi:10.1016/j.physrep.2009.11.002 · Cited by 11,293 · see citing works

Finding community structure in very large networks

Clauset, A., Newman, M. E. J., & Moore, C. (2004) · Physical Review E · doi:10.1103/physreve.70.066111 · Cited by 7,390 · see citing works

Evolution of the social network of scientific collaborations

Barabási, A.-Ĺ., Jeong, H., Néda, Z., Ravasz, E., Schubert, A., & Vicsek, T. (2002) · Physica A Statistical Mechanics and its Applications · doi:10.1016/s0378-4371(02)00736-7 · Cited by 2,711 · see citing works

Predicting the Present with Google Trends

CHOI, H., & VARIAN, H. (2012) · Economic Record · doi:10.1111/j.1475-4932.2012.00809.x · Cited by 2,354 · see citing works

Social Capital and Community Resilience

Aldrich, D. P., & Meyer, M. A. (2015) · American Behavioral Scientist · doi:10.1177/0002764214550299 · Cited by 2,331 · see citing works

Community detection algorithms: A comparative analysis

Lancichinetti, A., & Fortunato, S. (2009) · Physical Review E · doi:10.1103/physreve.80.056117 · Cited by 2,181 · see citing works

Empirical study of topic modeling in Twitter

Hong, L., & Davison, B. D. (2010) · doi:10.1145/1964858.1964870 · Cited by 1,142 · see citing works

Empirical comparison of algorithms for network community detection

Leskovec, J., Lang, K. J., & Mahoney, M. W. (2010) · International World Wide Web Conference (WWW) · doi:10.1145/1772690.1772755 · Cited by 965 · see citing works

Social Capital: A Missing Link to Disaster Recovery

Nakagawa, Y., & Shaw, R. (2004) · International Journal of Mass Emergencies & Disasters · doi:10.1177/028072700402200101 · Cited by 959 · see citing works

Handbook of Disaster Research

Rodríguez, H., Quarantelli, E. L., & Dynes, R. R. (2007) · Handbooks of sociology and social research · doi:10.1007/978-0-387-32353-4 · Cited by 927 · see citing works

Emergency knowledge management and social media technologies: A case study of the 2010 Haitian earthquake

Yates, D., & Paquette, S. (2010) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2010.10.001 · Cited by 881 · see citing works

Social media and disasters: A functional framework for social media use in disaster planning, response, and research

Houston, J. B., Hawthorne, J., Perreault, M. F., Park, E. H., Goldstein Hode, M., Halliwell, M. R., Turner McGowen, S. E., Davis, R., Vaid, S., McElderry, J. A., et al. (2015) · Disasters · doi:10.1111/disa.12092 · Cited by 869 · see citing works

Harnessing the Crowdsourcing Power of Social Media for Disaster Relief

Gao, H., Barbier, G., & Goolsby, R. (2011) · IEEE Intelligent Systems · doi:10.1109/mis.2011.52 · Cited by 779 · see citing works

Social network analysis: Characteristics of online social networks after a disaster

Kim, J., & Hastak, M. (2017) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.08.003 · Cited by 618 · see citing works

Social Media in Disaster Risk Reduction and Crisis Management

Alexander, D. (2013) · Science and Engineering Ethics · doi:10.1007/s11948-013-9502-z · Cited by 593 · see citing works

Analyzing (social media) networks with NodeXL

Smith, M. A., Shneiderman, B., Milić-Frayling, N., Rodrigues, E. M., Barash, V., Dunne, C., Capone, T., Perer, A., & Gleave, E. (2009) · International Conference on Communities and Technologies (C&T) · doi:10.1145/1556460.1556497 · Cited by 508 · see citing works

Using Social Media to Enhance Emergency Situation Awareness

Yin, J., Lampert, A., Cameron, M., Robinson, B., & Power, R. (2012) · IEEE Intelligent Systems · doi:10.1109/mis.2012.6 · Cited by 482 · see citing works

Probabilistic topic models

Blei, D. M. (2011) · doi:10.1145/2107736.2107741 · Cited by 434 · see citing works

Real-Time Crisis Mapping of Natural Disasters Using Social Media

Middleton, S. E., Middleton, L., & Modafferi, S. (2014) · IEEE Intelligent Systems · doi:10.1109/mis.2013.126 · Cited by 426 · see citing works

Climate Change as the Dominant Control on Glacial-Interglacial Variations in C 3 and C 4 Plant Abundance

Huang, Y., Street‐Perrott, F. A., Metcalfe, S. E., Brenner, M., Moreland, M., & Freeman, K. H. (2001) · Science · doi:10.1126/science.1060143 · Cited by 415 · see citing works

Extracting Information Nuggets from Disaster- Related Messages in Social Media

Imran, M., Elbassuoni, S., Castillo, C., Díaz, F., & Meier, P. P. (2013) · Cited by 387 · see citing works

Using social network analysis to explain communication characteristics of travel-related electronic word-of-mouth on social networking sites

Luo, Q., & Zhong, D. (2015) · Tourism Management · doi:10.1016/j.tourman.2014.07.007 · Cited by 374 · see citing works

The power of people: social capital’s role in recovery from the 1995 Kobe earthquake

Aldrich, D. P. (2010) · Natural Hazards · doi:10.1007/s11069-010-9577-7 · Cited by 362 · see citing works

Probabilistic Topic Models

Blei, D. M., Carin, L., & Dunson, D. B. (2010) · IEEE Signal Processing Magazine · doi:10.1109/msp.2010.938079 · Cited by 335 · see citing works

The role of social media in local government crisis communications

Graham, M., Avery, E. J., & Park, S. (2015) · Public Relations Review · doi:10.1016/j.pubrev.2015.02.001 · Cited by 299 · see citing works

Hope for Haiti: An analysis of Facebook and Twitter usage during the earthquake relief efforts

Muralidharan, S., Rasmussen, L., Patterson, D., & Shin, J. (2011) · Public Relations Review · doi:10.1016/j.pubrev.2011.01.010 · Cited by 263 · see citing works

Public engagement with nonprofit organizations on Facebook

Cho, M., Schweickart, T., & Haase, A. (2014) · Public Relations Review · doi:10.1016/j.pubrev.2014.01.008 · Cited by 263 · see citing works

Origins of power-law degree distribution in the heterogeneity of human activity in social networks

Muchnik, L., Pei, S., Parra, L. C., Reis, S. D. S., Andrade, J. S., Havlin, S., & Makse, H. A. (2013) · Scientific Reports · doi:10.1038/srep01783 · Cited by 227 · see citing works

Google Flu Trends: Correlation With Emergency Department Influenza Rates and Crowding Metrics

Dugas, A. F., Hsieh, Y., Levin, S. R., Pines, J. M., Mareiniss, D. P., Mohareb, A. M., Gaydos, C. A., Perl, T. M., & Rothman, R. E. (2012) · Clinical Infectious Diseases · doi:10.1093/cid/cir883 · Cited by 223 · see citing works

An overview of social network analysis

Oliveira, M., & da Gama, J. M. P. (2012) · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · doi:10.1002/widm.1048 · Cited by 191 · see citing works

Public behavior response analysis in disaster events utilizing visual analytics of microblog data

Chae, J., Thom, D., Jang, Y., Kim, S., Ertl, T., & Ebert, D. S. (2013) · Computers & Graphics · doi:10.1016/j.cag.2013.10.008 · Cited by 182 · see citing works

#FluxFlow: Visual Analysis of Anomalous Information Spreading on Social Media

Zhao, J., Cao, N., Wen, Z., Song, Y., Lin, Y., & Collins, C. M. (2014) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2014.2346922 · Cited by 178 · see citing works

Evaluating information diffusion speed and its determinants in social media networks during humanitarian crises

Yoo, E., Rand, W. M., Eftekhar, M., & Rabinovich, E. (2016) · Journal of Operations Management · doi:10.1016/j.jom.2016.05.007 · Cited by 173 · see citing works

Emergent use of social media: A new age of opportunity for disaster resilience

Keim, M. K., & Eric Noji, M. (2011) · American Journal of Disaster Medicine · doi:10.5055/ajdm.2011.0044 · Cited by 171 · see citing works

How Disaster Information Form, Source, Type, and Prior Disaster Exposure Affect Public Outcomes: Jumping on the Social Media Bandwagon?

Liu, B. F., Fraustino, J. D., & Jin, Y. (2014) · Journal of Applied Communication Research · doi:10.1080/00909882.2014.982685 · Cited by 132 · see citing works

A fast multi-scale method for drawing large graphs

Harel, D., & Koren, Y. (2000) · Working Conference on Advanced Visual Interfaces (AVI) · doi:10.1145/345513.345353 · Cited by 131 · see citing works

ScatterBlogs2: Real-Time Monitoring of Microblog Messages through User-Guided Filtering

Bosch, H., Thom, D., Heimerl, F., Puttmann, E., Koch, S., Kruger, R., Worner, M., & Ertl, T. (2013) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2013.186 · Cited by 128 · see citing works

Social network analysis: Measuring, mapping, and modeling collections of connections

Hansen, D. L., Shneiderman, B., Smith, M. A., & Himelboim, I. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-817756-3.00003-0 · Cited by 116 · see citing works

Communicating flood risk: Looking back and forward at traditional and social media outlets

FELDMAN, D. L., Contreras, S. L., Karlin, B., Basolo, V., Matthew, R. A., Sanders, B. F., Houston, D., Cheung, W., Goodrich, K. A., Reyes, A., et al. (2015) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2015.12.004 · Cited by 109 · see citing works

Social Media Visual Analytics

Chen, S., Lin, L., & Yuan, X. (2017) · Computer Graphics Forum · doi:10.1111/cgf.13211 · Cited by 107 · see citing works

Combining real and virtual volunteers through social media.

Reuter, C., Heger, O., & Pipek, V. (2013) · TUbilio (Technical University of Darmstadt) · Cited by 101 · see citing works

9th International Conference on Information Systems for Crisis Response and Management (ISCRAM)

Le, V. T., Bouraqadi, N., Stinckwich, S., & Doniec, A. (2012) · HAL Portal Artxiker (Hindustan Aeronautics Limited (India)) · Cited by 94 · see citing works

The use of Facebook for information seeking, decision support, and self-organization following a significant disaster

Silver, A., & Matthews, L. (2016) · Information Communication & Society · doi:10.1080/1369118x.2016.1253762 · Cited by 93 · see citing works

Communicating Risk and Uncertainty: Science, Technology, and Disasters at the Crossroads

Rodr´ıguez, H., ́ıaz, W. D., Santos, J. M., & Aguirre, B. E. (2007) · Handbooks of sociology and social research · doi:10.1007/978-0-387-32353-4_29 · Cited by 91 · see citing works

Social Resources and Community Resilience in the Wake of Superstorm Sandy

Cagney, K. A., Sterrett, D., Benz, J., & Tompson, T. N. (2016) · PLoS ONE · doi:10.1371/journal.pone.0160824 · Cited by 89 · see citing works

Analyzing Social Media Networks with NodeXL

(2011) · Elsevier eBooks · doi:10.1016/c2009-0-64028-9 · Cited by 87 · see citing works

The role of social capital and public policy in disaster recovery: A case study of Tamil Nadu State, India

Joshi, A., & Aoki, M. (2013) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2013.09.004 · Cited by 77 · see citing works

Degree centrality and eigenvector centrality in twitter

Maharani, W., Adiwijaya, A., & Gozali, A. A. (2014) · International Conference on Telecommunication Systems, Services, and Applications · doi:10.1109/tssa.2014.7065911 · Cited by 76 · see citing works

Tweets, Google trends, and sovereign spreads in the GIIPS

Dergiades, T., Milas, C., & Panagiotidis, T. (2014) · Oxford Economic Papers · doi:10.1093/oep/gpu046 · Cited by 76 · see citing works

The capacity for self-governance and post-disaster resiliency

Grube, L. E., & Storr, V. H. (2013) · The Review of Austrian Economics · doi:10.1007/s11138-013-0210-3 · Cited by 72 · see citing works

Using social media to enhance emergency situation awareness

Yin, J., Karimi, S., Lampert, A., Cameron, M. A., Robinson, B., & Power, R. A. (2015) · Cited by 61 · see citing works

A comparative study of social network analysis tools

Combe, D., Largeron, C., Egyed‐Zsigmond, E., & Géry, M. (2010) · HAL · Cited by 46 · see citing works

Can twitter really save your life? A case study of visual social media analytics for situation awareness

Thom, D., Kruger, R., Ertl, T., Bechstedt, U., Platz, A., Zisgen, J., & Volland, B. (2015) · IEEE Pacific Visualization Symposium · doi:10.1109/pacificvis.2015.7156376 · Cited by 41 · see citing works

Social Media and Warning Response Impacts in Extreme Events: Results from a Naturally Occurring Experiment

Tyshchuk, Y., Hui, C., Grabowski, M., & Wallace, W. A. (2012) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2012.536 · Cited by 40 · see citing works

A Volunteered Geographic Information Framework to Enable Bottom-Up Disaster Management Platforms

Poorazizi, M. E., Hunter, A. J. S., & Steiniger, S. (2015) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi4031389 · Cited by 28 · see citing works

Tornado Debris Characteristics And Trajectories During The 27 April 2011 Super Outbreak As Determined Using Social Media Data

Knox, J. A., Rackley, J. A., Black, A. W., Gensini, V. A., Butler, M., Dunn, C. B., Gallo, T., Hunter, M. R., Lindsey, L., Phan, M., et al. (2013) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-12-00036.1 · Cited by 25 · see citing works

Online Human Behaviors on Social Media during Disaster Responses

Kim, J., & Hastak, M. (2017) · Homeland security affairs · Cited by 14 · see citing works

Evaluating Multi-attributes on Cause and Effect Relationship Visualization

Bae, J., Ventocilla, E., Riveiro, M., Helldin, T., & Falkman, G. (2017) · International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) · doi:10.5220/0006102300640074 · Cited by 12 · see citing works

Facebook Enables Disaster Research Studies: The Use of Social Media to Recruit Participants in a Post-Disaster Setting.

Hugelius, K., Adolfsson, A., Gifford, M., & Örtenwall, P. (2017) · Europe PMC (PubMed Central) · doi:10.1371/currents.dis.f4a444e1f182776bdf567893761f86b8 · Cited by 11 · see citing works

Community detection algorithms

(2018) · Physics Subject Headings (PhySH) · doi:10.29172/180b51bc-73e1-45ee-90e6-a820e89e0da1 · Cited by 9 · see citing works

Impact of COVID-19 pandemic on information management research and practice: Transforming education, work and life

Dwivedi, Y. K., Hughes, D. L., Coombs, C., Constantiou, I., Duan, Y., Edwards, J. S., Gupta, B., Lal, B., Misra, S., Prashant, P., et al. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102211 · Cited by 1,232 · see citing works

Social media for intelligent public information and warning in disasters: An interdisciplinary review

Zhang, C., Fan, C. H., Yao, W., Hu, X., & Mostafavi, A. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.04.004 · Cited by 301 · see citing works

An intelligent blockchain-based system for safe vaccine supply and supervision

Yong, B., Shen, J., Liu, X., Li, F., Chen, H., & Zhou, Q. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.10.009 · Cited by 267 · see citing works

Twitter as a tool for the management and analysis of emergency situations: A systematic literature review

Martínez-Rojas, M., Pardo-Ferreira, M. D. C., & Rubio-Romero, J. C. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.07.008 · Cited by 213 · see citing works

Understanding communication dynamics on Twitter during natural disasters: A case study of Hurricane Sandy

Pourebrahim, N., Sultana, S., Edwards, J., Gochanour, A., & Mohanty, S. D. (2019) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2019.101176 · Cited by 195 · see citing works

Impact of corporate social responsibility on reputation—Insights from tweets on sustainable development goals by CEOs

Grover, P., Kar, A. K., & Ilavarasan, P. V. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.01.009 · Cited by 163 · see citing works

Retweets of officials’ alarming vs reassuring messages during the COVID-19 pandemic: Implications for crisis management

Rao, H. R., Vemprala, N., Akello, P., & Valecha, R. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102187 · Cited by 150 · see citing works

ChatGPT in education: a discourse analysis of worries and concerns on social media

Li, L., Ma, Z., Fan, L., Lee, S., Yu, H., & Hemphill, L. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-12256-9 · Cited by 201 · see citing works

A deep multi-modal neural network for informative Twitter content classification during emergencies

Kumar, A., Singh, J. P., Dwivedi, Y. K., & Rana, N. P. (2020) · Annals of Operations Research · doi:10.1007/s10479-020-03514-x · Cited by 134 · see citing works

A Review of Text Corpus-Based Tourism Big Data Mining

Li, Q., Li, S., Zhang, S., Hu, J., & Hu, J. (2019) · Applied Sciences · doi:10.3390/app9163300 · Cited by 135 · see citing works

Social media data and post-disaster recovery

Jamali, M., Nejat, A., Ghosh, S., Jin, F., & Cao, G. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.09.005 · Cited by 138 · see citing works

“Technology enabled Health” – Insights from twitter analytics with a socio-technical perspective

Grover, P., Kar, A. K., & Davies, G. H. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.07.003 · Cited by 126 · see citing works

Understanding the efficiency of social media based crisis communication during hurricane Sandy

Roy, K. C., Hasan, S., Sadri, A. M., & Cebrián, M. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.102060 · Cited by 110 · see citing works

Engaging donors on crowdfunding platform in Disaster Relief Operations (DRO) using gamification: A Civic Voluntary Model (CVM) approach

Behl, A., & Dutta, P. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102140 · Cited by 99 · see citing works

Social media and disaster management: Case of the north and south Kivu regions in the Democratic Republic of the Congo

Kavota, J. K., Kamdjoug, J. R. K., & Wamba, S. F. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102068 · Cited by 100 · see citing works

Impact of information timeliness and richness on public engagement on social media during COVID-19 pandemic: An empirical investigation based on NLP and machine learning

Li, K., Zhou, C., Luo, X. R., Benitez, J., & Liao, Q. (2022) · Decision Support Systems · doi:10.1016/j.dss.2022.113752 · Cited by 93 · see citing works

Social Response and Disaster Management: Insights from Twitter Data Assimilation on Hurricane Ian

Karimiziarani, M., & Moradkhani, H. (2022) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2023.103865 · Cited by 88 · see citing works

Sports clubs’ use of social media to increase spectator interest

Nisar, T. M., Prabhakar, G. P., & Patil, P. P. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.08.003 · Cited by 85 · see citing works

Social Media Use in Emergency Response to Natural Disasters: A Systematic Review With a Public Health Perspective

Muniz-Rodríguez, K., Ofori, S. K., Bayliss, L. C., Schwind, J. S., Diallo, K., Liu, M., Yin, J., Chowell, G., & Fung, I. C. (2020) · Disaster Medicine and Public Health Preparedness · doi:10.1017/dmp.2020.3 · Cited by 85 · see citing works

Diffusion of real versus misinformation during a crisis event: A big data-driven approach

King-Kizito, K., & Wang, B. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102390 · Cited by 86 · see citing works

Preprocessing Arabic text on social media

Hegazi, M. O., Aldossari, Y. M., Al-Yahy, A., Al-Sumari, A. A.-S., & Hilal, A. M. (2021) · Heliyon · doi:10.1016/j.heliyon.2021.e06191 · Cited by 82 · see citing works

Automated Machine Learning Approaches for Emergency Response and Coordination via Social Media in the Aftermath of a Disaster: A Review

Dwarakanath, L., Kamsin, A., Rasheed, R. A., Anandhan, A., & Shuib, L. M. (2021) · IEEE Access · doi:10.1109/access.2021.3074819 · Cited by 87 · see citing works

Social media crowdsourcing for rapid damage assessment following a sudden-onset natural hazard event

Li, L., Bensi, M., Cui, Q., Baecher, G. B., & Huang, Y. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102378 · Cited by 78 · see citing works

Mapping the Landscape of COVID-19 Crisis Visualizations

Zhang, Y., Sun, Y., Padilla, L., Barua, S., Bertini, E., & Parker, A. G. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445381 · Cited by 72 · see citing works

Factors affecting individual online rumor sharing behavior in the COVID-19 pandemic

Luo, P., Wang, C., Guo, F., & Luo, L. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106968 · Cited by 67 · see citing works

Rapid Assessment of Disaster Impacts on Highways Using Social Media

Chen, Y., Wang, Q., & Ji, W. (2020) · Journal of Management in Engineering · doi:10.1061/(asce)me.1943-5479.0000836 · Cited by 61 · see citing works

Link between social distancing, cognitive dissonance, and social networking site usage intensity: a country-level study during the COVID-19 outbreak

Chakraborty, T., Kumar, A., Upadhyay, P., & Dwivedi, Y. K. (2021) · Internet Research · doi:10.1108/intr-05-2020-0281 · Cited by 64 · see citing works

Utilizing microblogs for assisting post-disaster relief operations via matching resource needs and availabilities

Dutt, R., Basu, M., Ghosh, K., & Ghosh, S. (2019) · Information Processing & Management · doi:10.1016/j.ipm.2019.05.010 · Cited by 63 · see citing works

Mapping the Landscape of COVID-19 Crisis VisualizationsPreprint

Zhang, Y. (2021) · OSF Preprints (OSF Preprints) · Cited by 58 · see citing works

Information diffusion across cyber-physical-social systems in smart city: A survey

Zhou, X., Li, S., Li, Z., & Li, W. (2021) · Neurocomputing · doi:10.1016/j.neucom.2020.08.089 · Cited by 57 · see citing works

Situational awareness extraction: a comprehensive review of social media data classification during natural hazards

Vongkusolkit, J., & Huang, Q. (2020) · Annals of GIS · doi:10.1080/19475683.2020.1817146 · Cited by 57 · see citing works

Information Diffusion Nonlinear Dynamics Modeling and Evolution Analysis in Online Social Network Based on Emergency Events

Liu, X., He, D., & Liu, C. (2019) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2018.2885127 · Cited by 54 · see citing works

Exploring the consequence of social media usage on firm performance

Hanafizadeh, P., Shafia, S., & Bohlin, E. (2021) · Digital Business · doi:10.1016/j.digbus.2021.100013 · Cited by 44 · see citing works

Crowdsourced social media and mobile phone signaling data for disaster impact assessment: A case study of the 8.8 Jiuzhaigou earthquake

Xing, Z., Zhang, X., Zan, X., Xiao, C., Li, B., Han, K., Liu, Z., & Liu, J. (2021) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2021.102200 · Cited by 50 · see citing works

Opening organizational learning in crisis management: On the affordances of social media

Eismann, K., Posegga, O., & Fischbach, K. (2021) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2021.101692 · Cited by 50 · see citing works

Leveraging social media data to study the community resilience of New York City to 2019 power outage

Li, L., Ma, Z., & Cao, T. (2020) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2020.101776 · Cited by 48 · see citing works

Environmental disaster and public rescue: A social media perspective

Li, L., Du, Y., Ma, S., Ma, X., Zheng, Y., & Han, X. (2023) · Environmental Impact Assessment Review · doi:10.1016/j.eiar.2023.107093 · Cited by 47 · see citing works

Contribution of Social Media Analytics to Disaster Response Effectiveness: A Systematic Review of the Literature

Acıkara, T., Xia, B., Yiğitcanlar, T., & Hon, C. K. H. (2023) · Sustainability · doi:10.3390/su15118860 · Cited by 54 · see citing works

A framework for understanding online group behaviors during a catastrophic event

Kim, J., & Park, H. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.102051 · Cited by 46 · see citing works

Application of Social Sensors in Natural Disasters Emergency Management: A Review

Shi, K., Peng, X., Lü, H., Zhu, Y., & Niu, Z. (2022) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2022.3211552 · Cited by 48 · see citing works

How Dramatic Events Can Affect Emotionality in Social Posting: The Impact of COVID-19 on Reddit

Basile, V., Cauteruccio, F., & Giorgio Terracina, B. (2021) · Future Internet · doi:10.3390/fi13020029 · Cited by 44 · see citing works

Developing a COVID-19 Crisis Management Strategy Using News Media and Social Media in Big Data Analytics

Park, Y. E. (2021) · Social Science Computer Review · doi:10.1177/08944393211007314 · Cited by 44 · see citing works

The interaction of multiple information on multiplex social networks

Zhang, H., Chen, X., Yi, P., Kou, G., & Wang, R. (2022) · Information Sciences · doi:10.1016/j.ins.2022.05.036 · Cited by 42 · see citing works

Optimal Control for Positive and Negative Information Diffusion Based on Game Theory in Online Social Networks

Wan, P., Wang, X., Min, G., Wang, L., Lin, Y., Yu, W., & Wu, X. (2022) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2022.3211988 · Cited by 40 · see citing works

Use of Twitter in the Cameroon Anglophone crisis

Nganji, J. T., & Cockburn, L. (2019) · Behaviour and Information Technology · doi:10.1080/0144929x.2019.1620333 · Cited by 39 · see citing works

Mapping the knowledge frontiers of public risk communication in disaster risk management

Agyepong, L. A., & Liang, X. (2022) · Journal of Risk Research · doi:10.1080/13669877.2022.2127851 · Cited by 37 · see citing works

Multi-source information fusion and deep-learning-based characteristics measurement for exploring the effects of peer engagement on stock price synchronicity

Li, L., Zhu, F., Sun, H., Hu, Y., Yang, Y., & Jin, D. (2020) · Information Fusion · doi:10.1016/j.inffus.2020.11.006 · Cited by 36 · see citing works

Investigating information dissemination and citizen engagement through government social media during the COVID-19 crisis

Paul, S., & Das, S. (2022) · Online Information Review · doi:10.1108/oir-06-2021-0307 · Cited by 34 · see citing works

Impact of acculturation, online participation and involvement on voting intentions

Jamal, A., Kizgin, H., Rana, N. P., Laroche, M., & Dwivedi, Y. K. (2019) · Government Information Quarterly · doi:10.1016/j.giq.2019.04.001 · Cited by 34 · see citing works

Using deep learning and social network analysis to understand and manage extreme flooding

Romascanu, A., Ker, H., Sieber, R. E., Greenidge, S., Lumley, S., Bush, D., Morgan, S., Zhao, R., & Brunila, M. (2020) · Journal of Contingencies and Crisis Management · doi:10.1111/1468-5973.12311 · Cited by 33 · see citing works

Data-driven investigations of using social media to aid evacuations amid Western United States wildfire season

Li, L., Ma, Z., & Cao, T. (2021) · Fire Safety Journal · doi:10.1016/j.firesaf.2021.103480 · Cited by 32 · see citing works

Management of Plastic Bottle and Filter Waste during the Large-Scale Flint Michigan Lead Contaminated Drinking Water Incident

Wang, T., Kim, J., & Whelton, A. J. (2019) · Resources, Conservation and Recycling · doi:10.1016/j.resconrec.2018.08.021 · Cited by 31 · see citing works

Exploring the relationship between urban residents' emotional changes and built environment before and during the COVID-19 pandemic from the perspective of resilience

Dai, D., Dong, W. Y., Wang, Y., Liu, S., & Zhang, J. (2023) · Cities · doi:10.1016/j.cities.2023.104510 · Cited by 29 · see citing works

Social-media-based crisis communication: Assessing the engagement of local agencies in Twitter during Hurricane Irma

Noor, N. A. M., Okhai, R., Jamal, T. B., Kapucu, N., Ge, Y., & Hasan, S. (2024) · International Journal of Information Management Data Insights · doi:10.1016/j.jjimei.2024.100236 · Cited by 30 · see citing works

Social-Media Analysis for Disaster Prevention: Forest Fire in Artenara and Valleseco, Canary Islands

Zamarreño-Aramendia, G., Cristòfol, F. J., Vela, J. D. S. E., & Ginesta, X. (2020) · Journal of Open Innovation Technology Market and Complexity · doi:10.3390/joitmc6040169 · Cited by 29 · see citing works

Exploring information dissemination effect on social media: an empirical investigation

Yang, B., Zhang, R., Cheng, X., & Zhao, C. (2023) · Personal and Ubiquitous Computing · doi:10.1007/s00779-023-01710-7 · Cited by 37 · see citing works

Understanding Chinese mobile social media users’ communication behaviors during public health emergencies

Wang, H., Xiong, L., Wang, C., & Chen, N. (2022) · Journal of Risk Research · doi:10.1080/13669877.2022.2049621 · Cited by 26 · see citing works

Social weather: A review of crowdsourcing‐assisted meteorological knowledge services through social cyberspace

Zhu, Y., Zhang, S.-F., Li, Y., Lu, H., Shi, K., & Niu, Z.-D. (2019) · Geoscience Data Journal · doi:10.1002/gdj3.85 · Cited by 23 · see citing works

The Dynamic Effects of Perceptions of Dread Risk and Unknown Risk on SNS Sharing Behavior During Emerging Infectious Disease Events: Do Crisis Stages Matter?

Xu, L., Qiu, J., Gu, W., & Ge, Y. (2020) · Journal of the Association for Information Systems · doi:10.17705/1jais.00612 · Cited by 25 · see citing works

Investigating negative reviews and detecting negative influencers in Yelp through a multi-dimensional social network based model

Corradini, E., Nocera, A., Domenico Ursino, A., & Virgili, L. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102377 · Cited by 22 · see citing works

FEBDNN: fusion embedding-based deep neural network for user retweeting behavior prediction on social networks

Wang, L., Zhang, Y., Yuan, J., Hu, K., & Cao, S. (2022) · Neural Computing and Applications · doi:10.1007/s00521-022-07174-9 · Cited by 20 · see citing works

Knowledge management for extreme public health events COVID-19: based on Tiktok data

Xu, D., Yan, S., Zhang, Y., Zhang, S., Nakamori, Y., & Chen, L. (2021) · Journal of Knowledge Management · doi:10.1108/jkm-06-2021-0450 · Cited by 19 · see citing works

Understanding the world heritage sites’ brand diffusion and formation via social media: a mixed-method study

Wang, Z., Liu, W., Sun, Z., & Hong, Z. (2023) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-02-2023-0190 · Cited by 19 · see citing works

Agenda Dynamics on Social Media During COVID-19 Pandemic: Interactions Between Public, Media, and Government Agendas

Zhou, S., & Zheng, X. (2022) · Communication Studies · doi:10.1080/10510974.2022.2082504 · Cited by 19 · see citing works

Social network analysis in humanitarian logistics research

Tacheva, Z., & Simpson, N. (2019) · Journal of Humanitarian Logistics and Supply Chain Management · doi:10.1108/jhlscm-06-2018-0047 · Cited by 18 · see citing works

Spatiotemporal Change Analysis of Earthquake Emergency Information Based on Microblog Data: A Case Study of the “8.8” Jiuzhaigou Earthquake

Xing, Z., Su, X., Liu, J., Su, W., & Zhang, X. (2019) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi8080359 · Cited by 17 · see citing works

Moving Emergency Response Forward: Leveraging Machine-Learning Classification of Disaster-Related Images Posted on Social Media

Johnson, M., Murthy, D., Robertson, B. W., Smith, W. R., & Stephens, K. K. (2023) · Journal of Management Information Systems · doi:10.1080/07421222.2023.2172778 · Cited by 16 · see citing works

The strategic value of IT-enabled self-organised collectives during crises

Morton, J., Zorina, A., & Kudaravalli, S. (2023) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2023.101792 · Cited by 16 · see citing works

A conceptual framework for developing solutions that organise social media information for emergency response teams

Freitas, D. P., Borges, M. R. S., & de Carvalho, P. V. R. (2019) · Behaviour and Information Technology · doi:10.1080/0144929x.2019.1621933 · Cited by 17 · see citing works

A comparative analysis for spatio-temporal spreading patterns of emergency news

Si, M., Cui, L., Guo, W., Li, Q., Liu, L., Lü, X., & Lu, X. B. (2020) · Scientific Reports · doi:10.1038/s41598-020-76162-7 · Cited by 16 · see citing works

Development of a COVID-19 Web Information Transmission Structure Based on a Quadruple Helix Model: Webometric Network Approach Using Bing

Zhu, Y. P., & Park, H. W. (2021) · Journal of Medical Internet Research · doi:10.2196/27681 · Cited by 16 · see citing works

Social awareness of crisis events: A new perspective from social-physical network

Dou, M., Gu, Y., & Xu, G. (2020) · Cities · doi:10.1016/j.cities.2020.102620 · Cited by 15 · see citing works

Rapid assessment of building collapse based on sequential dynamic fusion of multi-source disaster information from news media

Yan, Z., Zhao, H., Wang, F., Zhang, X., Cai, S., & Mei, X. (2020) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2020.101910 · Cited by 15 · see citing works

Individual-centralized seeding strategy for influence maximization in information-limited networks

Liu, Y., Wang, X., Wang, X., Li, Y., Zhao, S., & Wang, Z. (2024) · Journal of The Royal Society Interface · doi:10.1098/rsif.2023.0625 · Cited by 14 · see citing works

What to Say and How to Say It? Corporate Strategic Communication through Social Media during the Pandemic

Shang, Y., Liou, R., & Rao‐Nicholson, R. (2022) · International Journal of Strategic Communication · doi:10.1080/1553118x.2022.2033980 · Cited by 15 · see citing works

Using data mining to track the information spreading on social media about the COVID-19 outbreak

Xing, Y., He, W., Cao, G., & Li, Y. (2021) · The Electronic Library · doi:10.1108/el-04-2021-0086 · Cited by 13 · see citing works

Crisis detection from Arabic tweets

Alharbi, A. A. H., & Lee, M. G. (2019) · University of Birmingham Research Portal (University of Birmingham) · Cited by 13 · see citing works

A Novel Social Network Group Decision-Making Method in a Quantum Framework

Cai, M., Jian, X., Hong, Y., Xiao, J., Gao, Y., & Hu, S. (2022) · International Journal of Computational Intelligence Systems · doi:10.1007/s44196-022-00159-5 · Cited by 12 · see citing works

AI-based Twitter framework for assessing the involvement of government schemes in electoral campaigns

Dhiman, A., & Toshniwal, D. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.117338 · Cited by 12 · see citing works

#BoycottMurree campaign on twitter: Monitoring public response to the negative destination events during a crisis

Shah, A. M., & Schweiggart, N. (2023) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2023.103734 · Cited by 12 · see citing works

The Potential of Data Analytics in Disaster Management

Sarvari, P. A., Nozari, M., & Khadraoui, D. (2019) · Lecture notes in management and industrial engineering · doi:10.1007/978-3-030-03317-0_28 · Cited by 12 · see citing works

Extracting the diffusion dynamics of crisis information on online social networks: Model and application

Chen, A., Liu, H., & Su, G. (2023) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2023.104226 · Cited by 11 · see citing works

Nonlinear dynamic information propagation mathematic modeling and analysis based on microblog social network

Liu, X., & He, D. (2020) · Social Network Analysis and Mining · doi:10.1007/s13278-020-00700-4 · Cited by 11 · see citing works

The interplay of logics and social media: An organisational field perspective

Karanasios, S., Adrot, A., Hayes, P., & Cooper, V. (2023) · Information Systems Journal · doi:10.1111/isj.12472 · Cited by 10 · see citing works

Ai-Assisted Protective Action: Study of Chatgpt as an Information Source for a Population Facing Climate HazardsPreprint

Li, X., Jiang, Y., & Mostafavi, A. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4408290 · Cited by 11 · see citing works

Towards quantifying the communication aspect of resilience in disaster-prone communities

Okeukwu-Ogbonnaya, A., Amariucai, G. T., Natarajan, B., & Kim, H. J. (2024) · Scientific Reports · doi:10.1038/s41598-024-59192-3 · Cited by 10 · see citing works

Cities under fire: Crisis communication on home front versus frontline cities' Facebook pages during operation ‘guardian of the walls’

Yavetz, G., & Bronstein, J. (2023) · Journal of Contingencies and Crisis Management · doi:10.1111/1468-5973.12448 · Cited by 9 · see citing works

Social velocity based spatio-temporal anomalous daily activity discovery of social media users

Dokuz, A. Ş. (2021) · Applied Intelligence · doi:10.1007/s10489-021-02535-8 · Cited by 9 · see citing works

Review article: Social media for managing disasters triggered by natural hazards: a critical review of data collection strategies and actionable insights

Gopal, L. S., Prabha, R., Thirugnanam, H., Ramesh, M. V., & Malamud, B. D. (2026) · Natural hazards and earth system sciences · doi:10.5194/nhess-26-215-2026 · Cited by 12 · see citing works

What determines online rumour sharing on COVID-19? A stimulus–response framework

Guo, F., Zhou, A., & Luo, P. (2022) · Journal of Information Science · doi:10.1177/01655515221126989 · Cited by 8 · see citing works

Robust Influence Maximization Under Both Aleatory and Epistemic Uncertainty

Biswas, T. K., Abbasi, A., & Chakrabortty, R. K. (2023) · ACM Transactions on Knowledge Discovery from Data · doi:10.1145/3587100 · Cited by 8 · see citing works

Megaproject Branding on Social Media from the Lens of Information Content and Information Diffusion

Chen, Y., Zhou, Z., Zhu, J., & Deng, X. (2023) · Journal of Management in Engineering · doi:10.1061/jmenea.meeng-5603 · Cited by 8 · see citing works

TriBeC: identifying influential users on social networks with upstream and downstream network centrality

Jain, S., & Sinha, A. (2023) · International Journal of General Systems · doi:10.1080/03081079.2023.2194642 · Cited by 8 · see citing works

Factors Impacting the Behavioral Intention to Use Social Media for Knowledge Sharing: Insights from Disaster Relief Practitioners

Ahmed, Y. A., & Khurshid, M. M. (2023) · Interdisciplinary Journal of Information Knowledge and Management · doi:10.28945/5103 · Cited by 9 · see citing works

When the storm is over: Sentiments, communities and information flow in the aftermath of Hurricane Dorian

Badmus, O. M. (2020) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2020.101645 · Cited by 8 · see citing works

Understanding Reactions to Natural Disasters: a Text Mining Approach to Analyze Social Media Content

Razavi, S. Z., & Rahbari, M. (2020) · International Conference on Social Networks Analysis, Management and Security (SNAMS) · doi:10.1109/snams52053.2020.9336570 · Cited by 8 · see citing works

Interactive Evolution of Multidimensional Information in Social Media for Public Emergency: A Perspective from Optics Scattering

Ma, X., Meng, X., & Ma, H. (2021) · Data and Information Management · doi:10.2478/dim-2021-0008 · Cited by 7 · see citing works

Appropriate Social Media Platforms Commensurate with the Maturity of Organizations

Hanafizadeh, P., & Shafia, S. (2021) · Journal of Telecommunications and the Digital Economy · doi:10.18080/jtde.v9n3.421 · Cited by 7 · see citing works

Directivos ante situaciones de crisis. El uso de LinkedIn por parte de la CEO de Metro de Madrid durante la borrasca Filomena / Senior managers in crisis situations. The use of LinkedIn by the CEO of Metro de Madrid during the storm Filomena

Cañabate, J. P. M., & Suau-Gomila, G. (2021) · Revista Internacional de Relaciones Públicas · doi:10.5783/rirp-22-2021-11-199-218 · Cited by 6 · see citing works

Mediating Effects of Attitudes, Risk Perceptions, and Negative Emotions on Coping Behaviors

Zhang, W., Li, L., Mou, J., Zhang, M., Cheng, X., & Xia, H. (2022) · Journal of Organizational and End User Computing · doi:10.4018/joeuc.308818 · Cited by 6 · see citing works

Emergency communication networks on Twitter during Hurricane Irma: information flow, influential actors, and top messages

Hu, Q., An, S., Kapucu, N., Sellnow, T. L., Yüksel, M., Freihaut, R., & Dey, P. K. (2024) · Disasters · doi:10.1111/disa.12628 · Cited by 13 · see citing works

Crowd or Hubs: information diffusion patterns in online social networks in disasters

Fan, C. H., Jiang, Y., Yang, Y., Zhang, C., & Mostafavi, A. (2020) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2020.101498 · Cited by 49 · see citing works

Social network analysis: Characteristics of online social networks after a disaster

Kim, J., & Hastak, M. (2017) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.08.003 · Cited by 618 · see citing works

Understanding interactions among citizens, government authorities, media, and ngos on twitter during natural disaster

Chen, S., Mao, J., Xiao, W., & Li, G. (2019) · Proceedings of the Association for Information Science and Technology · doi:10.1002/pra2.111 · Cited by 3 · see citing works

Information cascades in social media in response to a crisis

Hui, C., Tyshchuk, Y., Wallace, W. A., Magdon‐Ismail, M., & Goldberg, M. (2012) · International World Wide Web Conference (WWW) · doi:10.1145/2187980.2188173 · Cited by 52 · see citing works