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

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  • Kim, Jooho
  • Hastak, Makarand

Abstract

Social media, such as Twitter and Facebook, plays a critical role in disaster management by propagating emergency information to a disaster-affected community. It ranks as the fourth most popular source for accessing emergency information. Many studies have explored social media data to understand the networks and extract critical information to develop a pre- and post-disaster mitigation plan.

Suggested Citation

  • Kim, Jooho & Hastak, Makarand, 2018. "Social network analysis: Characteristics of online social networks after a disaster," International Journal of Information Management, Elsevier, vol. 38(1), pages 86-96.
    • Handle: RePEc:eee:ininma:v:38:y:2018:i:1:p:86-96
    DOI: 10.1016/j.ijinfomgt.2017.08.003
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    References listed on IDEAS

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    1. Daniel Aldrich, 2011. "The power of people: social capital’s role in recovery from the 1995 Kobe earthquake," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 56(3), pages 595-611, March.
    2. Yates, Dave & Paquette, Scott, 2011. "Emergency knowledge management and social media technologies: A case study of the 2010 Haitian earthquake," International Journal of Information Management, Elsevier, vol. 31(1), pages 6-13.
    3. Laura Grube & Virgil Storr, 2014. "The capacity for self-governance and post-disaster resiliency," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 27(3), pages 301-324, September.
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    Cited by:

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    3. Kim, Jooho & Bae, Juhee & Hastak, Makarand, 2018. "Emergency information diffusion on online social media during storm Cindy in U.S," International Journal of Information Management, Elsevier, vol. 40(C), pages 153-165.
    4. Hermenegildo Gil-Gomez & Raul Oltra-Badenes & Vicente Guerola-Navarro & Pablo Zegarra Saldaña, 2023. "Crowdfunding: a bibliometric analysis," International Entrepreneurship and Management Journal, Springer, vol. 19(1), pages 27-45, March.
    5. Muhammad Ashraf Fauzi, 2023. "Social media in disaster management: review of the literature and future trends through bibliometric analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 118(2), pages 953-975, September.
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    7. Cano-Marin, Enrique & Mora-Cantallops, Marçal & Sánchez-Alonso, Salvador, 2023. "Twitter as a predictive system: A systematic literature review," Journal of Business Research, Elsevier, vol. 157(C).
    8. Son, Jaebong & Lee, Hyung Koo & Jin, Sung & Lee, Jintae, 2019. "Content features of tweets for effective communication during disasters: A media synchronicity theory perspective," International Journal of Information Management, Elsevier, vol. 45(C), pages 56-68.
    9. Olga Navickienė & Ieva Meidutė-Kavaliauskienė & Renata Činčikaitė & Mangirdas Morkūnas & Asta Valackienė, 2023. "Modernisation of a Country in the Context of Social Environmental Sustainability: Example of Lithuania," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    10. Xia, Huosong & An, Wuyue & Li, Jiaze & Zhang, Zuopeng (Justin), 2022. "Outlier knowledge management for extreme public health events: Understanding public opinions about COVID-19 based on microblog data," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    11. Tiezhong Liu & Huyuan Zhang & Hubo Zhang, 2020. "The Impact of Social Media on Risk Communication of Disasters—A Comparative Study Based on Sina Weibo Blogs Related to Tianjin Explosion and Typhoon Pigeon," IJERPH, MDPI, vol. 17(3), pages 1-17, January.
    12. Nisar, Tahir M. & Prabhakar, Guru & Patil, Pushp P., 2018. "Sports clubs’ use of social media to increase spectator interest," International Journal of Information Management, Elsevier, vol. 43(C), pages 188-195.
    13. Chu Li & Wenjin Shen, 2024. "How to Perceive National Governance Networks in the Global Commons of the Earth’s Surface: A Case Study of the Antarctic," Land, MDPI, vol. 13(2), pages 1-20, February.
    14. Carine Dominguez-Péry & Rana Tassabehji & Lakshmi Narasimha Raju Vuddaraju & Vikhram Kofi Duffour, 2021. "Improving emergency response operations in maritime accidents using social media with big data analytics: a case study of the MV Wakashio disaster," Post-Print hal-04021179, HAL.
    15. Krisanthi Seneviratne & Malka Nadeeshani & Sepani Senaratne & Srinath Perera, 2024. "Use of Social Media in Disaster Management: Challenges and Strategies," Sustainability, MDPI, vol. 16(11), pages 1-22, June.
    16. Martínez-Rojas, María & Pardo-Ferreira, María del Carmen & Rubio-Romero, Juan Carlos, 2018. "Twitter as a tool for the management and analysis of emergency situations: A systematic literature review," International Journal of Information Management, Elsevier, vol. 43(C), pages 196-208.
    17. Santoveña-Casal, Sonia & Pérez, Ma Dolores Fernández, 2022. "Relevance of E-Participation in the state health campaign in Spain: #EstoNoEsUnJuego / #ThisIsNotAGame," Technology in Society, Elsevier, vol. 68(C).
    18. Elbanna, Amany & Bunker, Deborah & Levine, Linda & Sleigh, Anthony, 2019. "Emergency management in the changing world of social media: Framing the research agenda with the stakeholders through engaged scholarship," International Journal of Information Management, Elsevier, vol. 47(C), pages 112-120.
    19. Sachin Modgil & Rohit Kumar Singh & Cyril Foropon, 2022. "Quality management in humanitarian operations and disaster relief management: a review and future research directions," Annals of Operations Research, Springer, vol. 319(1), pages 1045-1098, December.
    20. Abhinav Kumar & Jyoti Prakash Singh & Yogesh K. Dwivedi & Nripendra P. Rana, 2022. "A deep multi-modal neural network for informative Twitter content classification during emergencies," Annals of Operations Research, Springer, vol. 319(1), pages 791-822, December.
    21. Jamali, Mehdi & Nejat, Ali & Ghosh, Souparno & Jin, Fang & Cao, Guofeng, 2019. "Social media data and post-disaster recovery," International Journal of Information Management, Elsevier, vol. 44(C), pages 25-37.

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