Workshop 1: Introduction to Social Network Analysis
Time: 8am-11am, July 3, China Time / 8pm-11pm, July 2, US Eastern Time
Location： Virtual on Zoom (Free Registration)
Social network analysis is becoming increasingly popular in social, educational, and psychological sciences. This interactive course intends to provide participants with a detailed introduction, practical examples, and demonstration of analyzing social network data using the free software R. Topics covered include (1) Network Data; (2) Network Visualization; (3) Network Statistics; (4) Basic and Advanced Network Models. Especially, we will cover classical models such as Stochastic Block Model, Exponential Random Graph Model, Latent Space Model, and the newly developed techniques such as Latent Factor Space Modeling and Network Mediation Analysis.
Haiyan Liu -- University of California, Merced
Dr. Haiyan Liu is currently an assistant professor of Quantitative Methods, Measurement, and Statistics at the University of California, Merced. Dr. Liu’s research centers broadly on statistical modeling of psychological and behavioral data such as high-dimensional data, longitudinal data, and categorical data. Her recent research includes social network modeling, Bayesian structural equation modeling, and non-parametric modeling of growth curves.
(1) Introduction to Social Network Analysis by Prof. Haiyan Liu from UC-Merced
(2) Longitudinal Data Analysis by Prof. Hongyun Liu from Beijing Normal University
(3) Practical Mediation Analysis by Prof. Laura Lu from University of Georgia and Prof. Qian Zhang from Florida State University
(4) Deep Learning Using R by Prof. Johnny Zhang from University of Notre Dame
(5) From Latent Class Model to Latent Transition Model Using Mplus by Prof. Hawjeng Chiou from National Taiwan Normal University
Share the information
You can share the meeting information with a colleague by inputting their email and name below.
The meeting is jointly supported by the International Society for Data Science and Analytics, the Society of Multivariate Experimental Psychology, the Fudan Institute for Advanced Study in Social Sciences, the College of Management of National Taiwan Normal University, and the Nanjing University of Posts and Telecommunications.
Selected papers will be published in the following journals: Fudan Journal of the Humanities and Social Sciences, Chinese Political Science Review, and Journal of Behavioral Data Science.
National Taiwan Normal University
University of Texas at Dallas
Beijing Normal University
Nanjing University of Posts and Telecommunications
University of Notre Dame
University of Notre Dame
Mail: P.O.Box 1471, ISDSA, Granger, IN 46530