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Quantifying and Visualizing the Research Status of Social Media and Health Research Field

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Social Web and Health Research

Abstract

This chapter presents a quantitative and visual analysis of social media and health research publications from Web of Science database during the year 2007–2017. The analysis is conducted using a bibliometric method, a social network analysis method, and a latent dirichlet allocation method to acquire the predominant subjects, journals, and countries, the collaboration relationship, and the major topics. Some interesting results are presented. For example, Journal of Medical Internet Research is the most influential journal. Public, Environmental & Occupational Health and Health Care Sciences & Services are the subjects with the most publications and citations, respectively. The USA is the most influential country with 1317 publications and an H-index of 53. Twenty topics are identified with potential themes as: Sex-related event, Analysis on medical-related content, Vaccine, Adverse drug reactions, Diet and weight control, Smoking cessation, Nursing, etc., which have received much more attention in scientific community during 2012–2017 compared with the period 2007–2011.

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  1. 1.

    https://meshb-prev.nlm.nih.gov/search

  2. 2.

    https://scholar.google.com/citations?view_op=top_venues&hl=en&vq=med_medicalinformatics

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Acknowledgements

The work is supported by grants from National Natural Science Foundation of China (No. 61772146) and Guangzhou Science Technology and Innovation Commission (No. 201803010063).

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Authors and Affiliations

  1. School of Economics, Jinan University, Guangzhou, China

    Xieling Chen

  2. School of Computer Science, South China Normal University, Guangzhou, China

    Tianyong Hao

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  1. Xieling Chen
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Editors and Affiliations

  1. Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA

    Jiang Bian

  2. Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA

    Yi Guo

  3. School of Information, Florida State University, Tallahassee, FL, USA

    Zhe He

  4. Computer Science and Engineering Department, Texas A&M University, College Station, TX, USA

    Xia Hu

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Chen, X., Hao, T. (2019). Quantifying and Visualizing the Research Status of Social Media and Health Research Field. In: Bian, J., Guo, Y., He, Z., Hu, X. (eds) Social Web and Health Research. Springer, Cham. https://doi.org/10.1007/978-3-030-14714-3_3

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