Description

Book Synopsis

This book presents the latest research into CSS methods, uses, and results, as presented at the 2019 annual conference of the CSSSA. This conference was held in Santa Fe, New Mexico, October 24 – 27, 2019, at the Drury Plaza Hotel. What follows is a diverse representation of new results and approaches for using the tools of CSS and agent-based modeling (ABM) for exploring complex phenomena across many different domains. Readers will therefore not only have the results of these specific projects on which to build, but will also gain a greater appreciation for the broad scope of CSS, and have a wealth of case-study examples that can serve as meaningful exemplars for new research projects and activities. The Computational Social Science Society of the Americas (CSSSA) is a professional society that aims to advance the field of CSS in all its areas, from fundamental principles to real-world applications, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing novel research findings.



Table of Contents

Brian Goode, and Bianica Pires: Encoding Protest Duration in an Agent-Based Model as Characteristic PhaseTransitions

Saeed Langarudi, Ashley Page, Connie Maxwell, Yining Bai, Babak Bahaddin, and Alexander Fernald:

System-wide Policy Solutions for Water Scarcity Issues

D. Cale Reeves, and Varun Rai: More or Faster? Technology Subsidy Policy, Additional Adoptions, and Accelerated Diffusion

Anuj Mittal, Nilufer Oran Gibson, and Caroline Krejci: Assessing the Potential of Crowd-shipping for Food Rescue Logistics Using Agent-based Modeling

Daria Roithmayr, Fei Fang, and Justin Chin: The Cat and Mouse Dynamics of Getting Around the Law

Srikanth Mudigonda, and Milton Friesen: Social Primitives: Exploring Spark of Life Collective Behavior in Agent Based Models

Rajesh Venkatachalapathy, Stephen Davies, and William Nehrboss: Wealth dynamics in the presence of network structure and primitive cooperation

Amirarsalan Rajabi, Seyyedmilad Talebzadehhosseini, and Ivan Garibay: Resistance of Communities

Against Conspiracies

Yiding Cao, Yingjun Dong, Minjun Kim, Neil Maclaren, Ankita Kulkarni, Shelley Dionne, Francis Yammarino, and Hiroki Sayama. Capturing the Production of Innovative Ideas: An Online Social Network Experiment and “Idea Geography” Visualization

Zahrieh Yousefi, Dietmar Heinke, Ian Apperly, and Peer-Olaf Siebers: An Agent-Based Model to Understand Simple Theory of Mind: Belief Representation Systematic Approach (BRSA)

Loren Demerath, James Reid, and E. Dante Suarez: A Model of Emergence featuring Social Mechanisms of Information Compression

Juan Salamanca, and Santiago Núñez-Corrales: Social viscosity, fluidity and turbulence in collective

perceptions of color: an agent-based model of color scale convergence

John Silver: Electoral College: Abandoned Battlegrounds An Agent-Based Model of Campaign Behavior Change with Proportional Allocation of Electors

Eric Castellanos, Hang Xie, and Paul Brenner: Global News Sentiment Analysis

Amira Al-Khulaidy, and Valentin Vergara Hidd: Corruption and the effects of influence within social networks: An agent-based model of the Lava Jato scandal.

*Ece Mutlu, and Ivan Garibay: The Degree-Dependent Threshold Model: Towards a Better Understanding of Opinion Dynamics on Online Social Networks

Melissa Vigil, Thi Nguyen, and Ellen Badgley: Inside the Mind of the Nonfiler: An Agent-Based Modeling Approach

Paul Davis, Tim McDonald, Ann Pendleton-Jullian, Angela O'Mahony, and Osonde Osoba: A Complex-Systems Agenda for Influencing Policy Analysis

Jeffrey Schank: The Evolution of Sharing in the Dictator Game

Niloofar Bagheri-Jebelli, Andrew T. Crooks, and William G. Kennedy: Capturing the Effects of Gentrification on Property Values: An Agent-Based Modeling Approach

Chathika Gunaratne, Subash Ray, Caroline Alves, and Maria Waldl: Exogenous Shocks Lead to Increased Responsiveness and Shifts in Sentimental Resilience in Online Discussions

Zhihao Hu, Xinwei Deng, Achla Marathe, Samarth Swarup and Anil Vullikanti: Decision-Adjusted Modeling for Imbalanced Classification: Predicting Rooftop Solar Panel Adoption in Rural Virginia

Gamaliel Palomo, Mario Siller, Arnaud Grignard, and Luis Alonso: An agent-based model of social fabric seen as an emergent behavior in cities

Amanda Song, Chad Atalla, Bartholomew Tam, Linjie Li, and Garrison Cottrell: Modifying human facial

impression

Elizabeth von Briesen, Amy Canevello, Samira Shaikh, John Cox, and Mirsad Hadžikadić: Modeling Genocide: An Agent-Based Model of Bystander Motivation and Societal Restraints

Ivan Garibay, Toktam Oghaz, and Niloofar Yousefi: Deep Agent: A Framework for Information Spread and Evolution in Social Networks

Nisha Baral, Chathika Gunaratne, Chathura Jayalath, William Rand, Chathurani Senevirathna, and

Ivan Garibay: Negative Influence Gradients Lead to Lowered Information Processing Capacity on Social Networks

David Dixon: Complex Systems Analysis of Transplant Center Performance Metrics

Proceedings of the 2019 International Conference

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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 2019 International Conference by Zining Yang

    Publisher: Springer Nature Switzerland AG
    Publication Date: 03/10/2021
    ISBN13: 9783030775162, 978-3030775162
    ISBN10: 303077516X

    Description

    Book Synopsis

    This book presents the latest research into CSS methods, uses, and results, as presented at the 2019 annual conference of the CSSSA. This conference was held in Santa Fe, New Mexico, October 24 – 27, 2019, at the Drury Plaza Hotel. What follows is a diverse representation of new results and approaches for using the tools of CSS and agent-based modeling (ABM) for exploring complex phenomena across many different domains. Readers will therefore not only have the results of these specific projects on which to build, but will also gain a greater appreciation for the broad scope of CSS, and have a wealth of case-study examples that can serve as meaningful exemplars for new research projects and activities. The Computational Social Science Society of the Americas (CSSSA) is a professional society that aims to advance the field of CSS in all its areas, from fundamental principles to real-world applications, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing novel research findings.



    Table of Contents

    Brian Goode, and Bianica Pires: Encoding Protest Duration in an Agent-Based Model as Characteristic PhaseTransitions

    Saeed Langarudi, Ashley Page, Connie Maxwell, Yining Bai, Babak Bahaddin, and Alexander Fernald:

    System-wide Policy Solutions for Water Scarcity Issues

    D. Cale Reeves, and Varun Rai: More or Faster? Technology Subsidy Policy, Additional Adoptions, and Accelerated Diffusion

    Anuj Mittal, Nilufer Oran Gibson, and Caroline Krejci: Assessing the Potential of Crowd-shipping for Food Rescue Logistics Using Agent-based Modeling

    Daria Roithmayr, Fei Fang, and Justin Chin: The Cat and Mouse Dynamics of Getting Around the Law

    Srikanth Mudigonda, and Milton Friesen: Social Primitives: Exploring Spark of Life Collective Behavior in Agent Based Models

    Rajesh Venkatachalapathy, Stephen Davies, and William Nehrboss: Wealth dynamics in the presence of network structure and primitive cooperation

    Amirarsalan Rajabi, Seyyedmilad Talebzadehhosseini, and Ivan Garibay: Resistance of Communities

    Against Conspiracies

    Yiding Cao, Yingjun Dong, Minjun Kim, Neil Maclaren, Ankita Kulkarni, Shelley Dionne, Francis Yammarino, and Hiroki Sayama. Capturing the Production of Innovative Ideas: An Online Social Network Experiment and “Idea Geography” Visualization

    Zahrieh Yousefi, Dietmar Heinke, Ian Apperly, and Peer-Olaf Siebers: An Agent-Based Model to Understand Simple Theory of Mind: Belief Representation Systematic Approach (BRSA)

    Loren Demerath, James Reid, and E. Dante Suarez: A Model of Emergence featuring Social Mechanisms of Information Compression

    Juan Salamanca, and Santiago Núñez-Corrales: Social viscosity, fluidity and turbulence in collective

    perceptions of color: an agent-based model of color scale convergence

    John Silver: Electoral College: Abandoned Battlegrounds An Agent-Based Model of Campaign Behavior Change with Proportional Allocation of Electors

    Eric Castellanos, Hang Xie, and Paul Brenner: Global News Sentiment Analysis

    Amira Al-Khulaidy, and Valentin Vergara Hidd: Corruption and the effects of influence within social networks: An agent-based model of the Lava Jato scandal.

    *Ece Mutlu, and Ivan Garibay: The Degree-Dependent Threshold Model: Towards a Better Understanding of Opinion Dynamics on Online Social Networks

    Melissa Vigil, Thi Nguyen, and Ellen Badgley: Inside the Mind of the Nonfiler: An Agent-Based Modeling Approach

    Paul Davis, Tim McDonald, Ann Pendleton-Jullian, Angela O'Mahony, and Osonde Osoba: A Complex-Systems Agenda for Influencing Policy Analysis

    Jeffrey Schank: The Evolution of Sharing in the Dictator Game

    Niloofar Bagheri-Jebelli, Andrew T. Crooks, and William G. Kennedy: Capturing the Effects of Gentrification on Property Values: An Agent-Based Modeling Approach

    Chathika Gunaratne, Subash Ray, Caroline Alves, and Maria Waldl: Exogenous Shocks Lead to Increased Responsiveness and Shifts in Sentimental Resilience in Online Discussions

    Zhihao Hu, Xinwei Deng, Achla Marathe, Samarth Swarup and Anil Vullikanti: Decision-Adjusted Modeling for Imbalanced Classification: Predicting Rooftop Solar Panel Adoption in Rural Virginia

    Gamaliel Palomo, Mario Siller, Arnaud Grignard, and Luis Alonso: An agent-based model of social fabric seen as an emergent behavior in cities

    Amanda Song, Chad Atalla, Bartholomew Tam, Linjie Li, and Garrison Cottrell: Modifying human facial

    impression

    Elizabeth von Briesen, Amy Canevello, Samira Shaikh, John Cox, and Mirsad Hadžikadić: Modeling Genocide: An Agent-Based Model of Bystander Motivation and Societal Restraints

    Ivan Garibay, Toktam Oghaz, and Niloofar Yousefi: Deep Agent: A Framework for Information Spread and Evolution in Social Networks

    Nisha Baral, Chathika Gunaratne, Chathura Jayalath, William Rand, Chathurani Senevirathna, and

    Ivan Garibay: Negative Influence Gradients Lead to Lowered Information Processing Capacity on Social Networks

    David Dixon: Complex Systems Analysis of Transplant Center Performance Metrics

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