© 2019

Social Web and Health Research

Benefits, Limitations, and Best Practices

  • Jiang Bian
  • Yi Guo
  • Zhe He
  • Xia Hu

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Jinhai Huo, Kea Turner
    Pages 53-82
  3. Mohammad Akbari, Xia Hu, Tat-Seng Chua
    Pages 139-169
  4. Nur Hafieza Ismail, Mengnan Du, Xia Hu
    Pages 171-192
  5. Yves Mercadier, Bilel Moulahi, Sandra Bringay, Jérôme Azé, Philippe Lenoir, Grégoire Mercier et al.
    Pages 193-205
  6. Hansi Zhang, Christopher Wheldon, Cui Tao, Adam G. Dunn, Yi Guo, Jinhai Huo et al.
    Pages 207-231
  7. Zhijun Yin, Jeremy Warner, Lijun Song, Pei-Yun Hsueh, Ching-Hua Chen, Bradley Malin
    Pages 233-257
  8. Rupa Valdez, Jessica Keim-Malpass
    Pages 259-269
  9. Back Matter
    Pages 271-272

About this book


This book presents state-of-the-art research methods, results, and applications in social media and health research. It aims to help readers better understand the different aspects of using social web platforms in health research. Throughout the chapters, the benefits, limitations, and best practices of using a variety of social web platforms in health research are discussed with concrete use cases. This is an ideal book for biomedical researchers, clinicians, and health consumers (including patients) who are interested in learning how social web platforms impact health and healthcare research.


social media health research social digital disease surveillance social media health education social media health professional Social media mental health social media health data Sentiment analysis social media mining social health status person attributes social media mining social media health vocabulary gap health professionals social media intervention studies social media cancer research Ethical social media health social media tobacco control

Editors and affiliations

  • Jiang Bian
    • 1
  • Yi Guo
    • 2
  • Zhe He
    • 3
  • Xia Hu
    • 4
  1. 1.Department of Health Outcomes and Biomedical Informatics, College of MedicineUniversity of FloridaGainesvilleUSA
  2. 2.Department of Health Outcomes and Biomedical Informatics, College of MedicineUniversity of FloridaGainesvilleUSA
  3. 3.School of InformationFlorida State UniversityTallahasseeUSA
  4. 4.Computer Science and Engineering DepartmentTexas A&M UniversityCollege StationUSA

About the editors

Jiang Bian 

Dr. Bian is an Assistant Professor of Biomedical Informatics in the Department of Health Outcomes and Biomedical Informatics at the University of Florida.  He is also the Director of Cancer Informatics and eHealth Core for the University of Florida Health Cancer Center.  He has a diverse yet strong multi-disciplinary background and extensive expertise in social media analysis, machine learning, natural language processing, network science, ontology development and evaluation, semantic web technology and software engineering. 

Yi Guo 

Dr. Yi Guo is an Assistant Professor in the Department of Health Outcomes and Biomedical Informatics in the College of Medicine at University of Florida.  He is a health outcomes researcher and data scientist with expertise in data integration and discovery, multilevel and longitudinal models, health risk prediction models, quality measurement and psychometric analysis, and power and sample size analysis.

Zhe He 

Dr. Zhe He is an Assistant Professor in the School of Information at the Florida State University. He is an Associate Editor of BMC Medical Informatics and Decision Making. His research lies in biomedical and health informatics, clinical research informatics, knowledge discovery, knowledge representation, and ontology-enhanced data analytics. His research aims to improve the population health and advance biomedical research through the collection, analysis, and application of electronic health data from heterogeneous sources.

Xia Hu 

Dr. Xia "Ben" Hu is currently a tenure-track Assistant Professor at Texas A&M University in the Department of Computer Science and Engineering. Dr. Hu has published nearly 100 papers in several major academic venues, including WWW, SIGIR, KDD, ICDM, SDM, WSDM, IJCAI, AAAI, CIKM, ICWSM, etc. His work on deep collaborative filtering, anomaly detection and knowledge graph have been included in the TensorFlow package, Apple production system and Bing production system, respectively.   

Bibliographic information

Industry Sectors
Surgery & Anesthesiology
Consumer Packaged Goods