Description

Book Synopsis

This book is comprised of the latest research into CSS methods, uses, and results, as presented at the 2020 annual conference of the Computational Social Science Society of the Americas (CSSSA). Computational social science (CSS) is the science that investigates social and behavioral dynamics through social simulation, social network analysis, and social media analysis. The CSSSA is a professional society that aims to advance the field of computational social science in all areas, including basic and applied orientations, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing research findings and results.

The above-mentioned conference was held virtually, October 8 – 11, 2020. What follows is a diverse representation of new results and approaches to using the tools of CSS and agent-based modeling (ABM) in exploring complex phenomena across many different domains. Readers will therefore not only have the results of these specific projects upon which to build, along with a wealth of case-study examples that can serve as meaningful exemplars for new research projects and activities, they will also gain a greater appreciation for the broad scope of CSS.




Table of Contents
Dale Brearcliffe and Andrew Crooks: Creating Intelligent Agents: Combining Agent-Based Modeling with Machine Learning
Claudius Gros: Envy splits societies into a lower and a upper class
Marie Alaghband and Ivan Garibay: Effects of Non-Cognitive Factors on Post-Secondary Persistence of Deaf Students: An Agent-Based Modeling Approach
Andrew Collins: Comparing Agent-Based Modeling to Cooperative Game Theory and Human Behavior
Peter Chew and Jonathan Chew: Analyzing transnational narratives in Twitter: an unsupervised approach using PARAFAC
Santiago Núñez-Corrales, Milton Friesen, Srikanth Mudigonda, Rajesh Venkatachalapathy and Jeffrey Graham: In-Silico models with greater fidelity to social processes: towards ABM platforms with realistic concurrency
Saeed Langarudi, Carlos Silva and Sam Fernald: Dynamics of Information Perception in Management of CommonsH. Van Dyke Parunak: Psychology from Stigmergy
Ece Mutlu, Ivan Garibay and Amirarsalan Rajabi: CD-SEIZ: Cognition-Driven SEIZ Compartmental Model for the Prediction of Information Cascades on Twitter
Jiin Jung, Aaron Bramson, William Crano, Scott Page and John Miller: Cultural Drift, Indirect Minority Influence, Network Structure and Their Impacts on Cultural Change and Diversity
Leticia Izquiero, Gamaliel Palomo, Arnaud Grignard, Luis Alonso, Mario Siller and Kent Larson: An agent-based model to evaluate the perception of safety in informal settlements
William Leibzon: Study of Altruism as a Behavioral Trait in Game Theory Network Dynamics with Prisoner Dilemma Games
Matthew Koehler, David Slater, Garry Jacyna and James Thompson: Analyzing the potential impact of nonpharmaceutical interventions on the spread of COVID-19 (COVID-19 work in progress)
Shigeaki Ogibayashi: An Agent-Based Model of Infectious Diseases that Incorporates the Role of Immune Cells and Antibodies
Nicholas Willems, Cale Reeves, Vivek Shastry and Varun Rai: Heterogeneity in populations and behaviors: An agent-based model of the social spread of COVID-19
Vivek Shastry, Cale Reeves, Nicholas Willems and Varun Rai: Work In Progress: COVID-19 Policy Evaluation (CoPE) Tool: An agent-based model for ex-ante evaluation of policy designs and behavioral responses to COVID-19
Amirarsalan Rajabi, Alexander Mantzaris, Ece Mutlu and Ivan Garibay: Investigating dynamics of COVID-19 spread and containment with agent-based modeling
Youngsun Hwang, Joseph Immormino and Glenn-Iain Steinback: Purchasing Power to the People: An Agent-Based Simulation of Pandemic Economic Recovery
Jacob Kelter, Andreas Bugler and Uri Wilensky: Agent-based models of Quadratic Voting
Brian Tivnan, Carl Burke, Matthew Koehler, Matthew Mcmahon And Jason Veneman: Towards a model of the national market system: fragmented and heterogenous venues
Hanin Alhaddad, Nisha Baral and Ivan Garibay: Online Rejection Influence on Behavior Deviancy and Radicalization: An Agent-Based Model Approach
Narjes Sadeghiamirshahidi, Anuj Mittal and Caroline Krejci: An agent-based model of digitally-mediated farmer transportation collaboration
Graham Sack: Geometries of Desire: Simulating Rene Girard’s Mimetic Theory
Mehdi Moghadam Manesh, Saeed Langarudi and Birgit Kopainsky: Can Institutionalization Prevent the Depletion of Groundwater Resources?

Proceedings of the 2020 Conference of The

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A Hardback by Zining Yang, Elizabeth von Briesen

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    View other formats and editions of Proceedings of the 2020 Conference of The by Zining Yang

    Publisher: Springer Nature Switzerland AG
    Publication Date: 06/01/2022
    ISBN13: 9783030834173, 978-3030834173
    ISBN10: 3030834174

    Description

    Book Synopsis

    This book is comprised of the latest research into CSS methods, uses, and results, as presented at the 2020 annual conference of the Computational Social Science Society of the Americas (CSSSA). Computational social science (CSS) is the science that investigates social and behavioral dynamics through social simulation, social network analysis, and social media analysis. The CSSSA is a professional society that aims to advance the field of computational social science in all areas, including basic and applied orientations, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing research findings and results.

    The above-mentioned conference was held virtually, October 8 – 11, 2020. What follows is a diverse representation of new results and approaches to using the tools of CSS and agent-based modeling (ABM) in exploring complex phenomena across many different domains. Readers will therefore not only have the results of these specific projects upon which to build, along with a wealth of case-study examples that can serve as meaningful exemplars for new research projects and activities, they will also gain a greater appreciation for the broad scope of CSS.




    Table of Contents
    Dale Brearcliffe and Andrew Crooks: Creating Intelligent Agents: Combining Agent-Based Modeling with Machine Learning
    Claudius Gros: Envy splits societies into a lower and a upper class
    Marie Alaghband and Ivan Garibay: Effects of Non-Cognitive Factors on Post-Secondary Persistence of Deaf Students: An Agent-Based Modeling Approach
    Andrew Collins: Comparing Agent-Based Modeling to Cooperative Game Theory and Human Behavior
    Peter Chew and Jonathan Chew: Analyzing transnational narratives in Twitter: an unsupervised approach using PARAFAC
    Santiago Núñez-Corrales, Milton Friesen, Srikanth Mudigonda, Rajesh Venkatachalapathy and Jeffrey Graham: In-Silico models with greater fidelity to social processes: towards ABM platforms with realistic concurrency
    Saeed Langarudi, Carlos Silva and Sam Fernald: Dynamics of Information Perception in Management of CommonsH. Van Dyke Parunak: Psychology from Stigmergy
    Ece Mutlu, Ivan Garibay and Amirarsalan Rajabi: CD-SEIZ: Cognition-Driven SEIZ Compartmental Model for the Prediction of Information Cascades on Twitter
    Jiin Jung, Aaron Bramson, William Crano, Scott Page and John Miller: Cultural Drift, Indirect Minority Influence, Network Structure and Their Impacts on Cultural Change and Diversity
    Leticia Izquiero, Gamaliel Palomo, Arnaud Grignard, Luis Alonso, Mario Siller and Kent Larson: An agent-based model to evaluate the perception of safety in informal settlements
    William Leibzon: Study of Altruism as a Behavioral Trait in Game Theory Network Dynamics with Prisoner Dilemma Games
    Matthew Koehler, David Slater, Garry Jacyna and James Thompson: Analyzing the potential impact of nonpharmaceutical interventions on the spread of COVID-19 (COVID-19 work in progress)
    Shigeaki Ogibayashi: An Agent-Based Model of Infectious Diseases that Incorporates the Role of Immune Cells and Antibodies
    Nicholas Willems, Cale Reeves, Vivek Shastry and Varun Rai: Heterogeneity in populations and behaviors: An agent-based model of the social spread of COVID-19
    Vivek Shastry, Cale Reeves, Nicholas Willems and Varun Rai: Work In Progress: COVID-19 Policy Evaluation (CoPE) Tool: An agent-based model for ex-ante evaluation of policy designs and behavioral responses to COVID-19
    Amirarsalan Rajabi, Alexander Mantzaris, Ece Mutlu and Ivan Garibay: Investigating dynamics of COVID-19 spread and containment with agent-based modeling
    Youngsun Hwang, Joseph Immormino and Glenn-Iain Steinback: Purchasing Power to the People: An Agent-Based Simulation of Pandemic Economic Recovery
    Jacob Kelter, Andreas Bugler and Uri Wilensky: Agent-based models of Quadratic Voting
    Brian Tivnan, Carl Burke, Matthew Koehler, Matthew Mcmahon And Jason Veneman: Towards a model of the national market system: fragmented and heterogenous venues
    Hanin Alhaddad, Nisha Baral and Ivan Garibay: Online Rejection Influence on Behavior Deviancy and Radicalization: An Agent-Based Model Approach
    Narjes Sadeghiamirshahidi, Anuj Mittal and Caroline Krejci: An agent-based model of digitally-mediated farmer transportation collaboration
    Graham Sack: Geometries of Desire: Simulating Rene Girard’s Mimetic Theory
    Mehdi Moghadam Manesh, Saeed Langarudi and Birgit Kopainsky: Can Institutionalization Prevent the Depletion of Groundwater Resources?

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