(Tuesday July 09 at 3:30pm)
Description: This tutorial session will demonstrate building some basic agent-based models (ABM) of population opinion dynamics in NetLogo. It will start by exploring various published opinion dynamics models (e.g. Zaller-Deffuant model). It will then continue with specific NetLogo topics such as implementing network models and extracting data from models for analysis.
Attendees should leave the tutorial with basic competence in using NetLogo. Additionally they’ll be exposed to:
Expected audience: This tutorial is aimed at two groups: 1) people who have little experience with ABM (particularly NetLogo) and would like to develop their skills with an interesting social science problem, 2) people who have some ABM experience and would like to explore a few ways of modeling opinion dynamics using ABM.
While spectators are welcome, this instructor-led tutorial is designed to be a hands-on effort and attendees will get the most out of it by working through the exercises. We will be using NetLogo and ideally it will already be installed on the attendee's computer before the session begins.
Dale Frakes is a Ph.D. candidate in the Systems Science program at Portland State University, working under Dr. Wayne Wakeland. He developed and teaches a course, "Modeling & Simulation with R & Python" as well as teaching the program’s course in Agent Based Modeling. He is currently working with two academic teams applying computer modeling to research on "Fake News" and Intergenerational Obesity.
Pawel Sobkowicz, "Extremism without extremists: Deffuant model with emotions"
Krzysztof Malarz, Piotr Gronek, Krzysztof Kulakowski, "Zaller-Deffuant model of mass opinion"