@incollection{analyzing-gsi-inbook-2019,
author = "M{\'e}ndez, Tasio and S{\'a}nchez-Rada, J. Fernando and Iglesias, Carlos A. and Paul Cummings",
abstract = "This work presents an agent-based model of radicalization growth based on social theories. The model aims at improving the understanding of the influence of social links on radicalism spread. The model consists of two main entities, a Network Model and an Agent Model. The Network Model updates the agent relationships based on proximity and homophily; it simulates information diffusion and updates the agents’
beliefs. The model has been evaluated and implemented in Python with the agent-based social simulator Soil. In addition, it has been evaluated through sensitivity analysis.",
booktitle = "Engineering Multi-Agent Systems 6th International Workshop, EMAS 2018 Stockholm, Sweden, July 14–15, 2018 Revised Selected Papers",
chapter = "Analyzing ",
editor = "Danny Weyns, Viviana Mascardi, Alessandro Ricci",
isbn = "0302-9743",
keywords = "radicalism;agent based social simulation;terrorism",
month = "August",
pages = "263-285",
publisher = "Springer Verlag",
series = "Lecture Notes in Artificial Intelligence",
title = "{A}nalyzing {R}adicalism {S}pread {U}sing {A}gent-{B}ased {S}ocial {S}imulation",
url = "https://www.springer.com/gp/book/9783030256920",
volume = "11375",
year = "2019",
}