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An overview and perspective on social network monitoring

Author

Listed:
  • William H. Woodall
  • Meng J. Zhao
  • Kamran Paynabar
  • Ross Sparks
  • James D. Wilson

Abstract

In this expository article we give an overview of some statistical methods for the monitoring of social networks. We discuss the advantages and limitations of various methods as well as some relevant issues. One of our primary contributions is to give the relationships between network monitoring methods and monitoring methods in engineering statistics and public health surveillance. We encourage researchers in the industrial process monitoring area to work on developing and comparing the performance of social network monitoring methods. We also discuss some of the issues in social network monitoring and give a number of research ideas.

Suggested Citation

  • William H. Woodall & Meng J. Zhao & Kamran Paynabar & Ross Sparks & James D. Wilson, 2017. "An overview and perspective on social network monitoring," IISE Transactions, Taylor & Francis Journals, vol. 49(3), pages 354-365, March.
    • Handle: RePEc:taf:uiiexx:v:49:y:2017:i:3:p:354-365
    DOI: 10.1080/0740817X.2016.1213468
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    Cited by:

    1. Ali Salmasnia & Mohammadreza Namdar & Mina Abolfathi & Parinaz Ajaly, 2021. "Statistical design of a VSI-EWMA control chart for monitoring the communications among individuals in a weighted social network," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(3), pages 495-508, June.
    2. Lee, Jihui & Li, Gen & Wilson, James D., 2020. "Varying-coefficient models for dynamic networks," Computational Statistics & Data Analysis, Elsevier, vol. 152(C).

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