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Dr Peng Wang

Senior Research Fellow
PhD, The University of Melbourne, Australia; Bachelor of Computer Science, The University of Melbourne, Australia


Dr Peng Wang is a network methodologist who specialises in the development of statistical models for social networks. Dr Peng Wang completed his PhD in 2013 from University of Melbourne, and worked there as since 2004. His work focuses on the methodology and software development of exponential random graph models for social network analysis. Peng joined Swinburne in 2015.

Research interests

Social Network Analysis; Stochastic Modelling; Exponential Random Graph Models

PhD candidate and honours supervision

Higher degrees by research

Accredited to supervise Masters & Doctoral students as Associate Supervisor.

Fields of Research

  • Sociology - 160800


  • 2014, Other, Dean's award for excellence in a PhD Thesis., The University of Melbourne
  • 2012, International, I2 citation award for the most cited paper in an INSNA publication., International Network for Social Network Analysis

Further information


Also published as: Wang, Peng
This publication listing is provided by Swinburne Research Bank. If you are the owner of this profile, you can update your publications using our online form.

Recent research grants awarded

  • 2019: A Social Network Analysis (SNA) of Collaboration Part 2 - Role of Brokers *; Commonwealth Scientific & Industrial Research Organisation (CSIRO)
  • 2018: Network Dynamics of Syphilis Coinfection within Biomedical Prevention *; The University of Texas Health Science Center Fund Scheme
  • 2018: Strategic Partnership - Research InstitutesSeed Grant 2017 *; Australian Red Cross
  • 2016: Advancing network statistical models for social and economic behaviour *; ARC Discovery Early Career Researcher Award (DECRA)
  • 2016: Joined Up: Social Network Analysis of the Huon Valley (Tasmania) Service Network System *; Department of Health and Human Services, Tasmania

* Chief Investigator

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