This is a tool that use Randomness (or Monte Carlo methods) and the theory of Collective Action to study the Mob phenomenon. This simple tool uses the four possible scenarios (mentioned in this publication ) a mob practitioner could face to predict the success or failur of a Mob and to estimate the number of powerful actors (or organizers) needed to have a successful Mob.
Mob_Simulator-Q1.py This file is used to answer the first research question of this publication "Studying Simulated Mobs Using Monte Carlo Method and the Theory of Collective Action"
Mob_Simulator-Q2.py This file is used to answer the second research question of this publication "Studying Simulated Mobs Using Monte Carlo Method and the Theory of Collective Action"
If you use any of the scripts provided or a modified version of them in your research, please cite the following article:
Al-khateeb, S., Agarwal, N. (2023). Studying Simulated Mobs Using Monte Carlo Method and the Theory of Collective Action. In: Agarwal, N., Kleiner, G.B., Sakalauskas, L. (eds) Modeling and Simulation of Social-Behavioral Phenomena in Creative Societies. MSBC 2022. Communications in Computer and Information Science, vol 1717. Springer, Cham. https://doi.org/10.1007/978-3-031-33728-4_1