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Autor Yang, Zining |
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Crear una solicitud de compra Refinar búsquedaProceedings of the 2018 Conference of the Computational Social Science Society of the Americas / Carmichael, Ted ; Yang, Zining
TÃtulo : Proceedings of the 2018 Conference of the Computational Social Science Society of the Americas Tipo de documento: documento electrónico Autores: Carmichael, Ted, ; Yang, Zining, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: IX, 291 p. 109 ilustraciones, 72 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-35902-7 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: teorÃa del sistema SociologÃa Ciencias sociales Matemáticas Sistemas complejos Métodos sociológicos Aplicación informática en ciencias sociales y del comportamiento. Matemática Computacional y Análisis Numérico Clasificación: 530.1 Resumen: Este libro contiene una selección de las últimas investigaciones en el campo de los métodos, usos y resultados de las ciencias sociales computacionales (CSS), tal como se presentaron en la conferencia anual de 2018 de la CSSSA. Esta conferencia se llevó a cabo en Santa Fe, Nuevo México, del 25 al 28 de octubre de 2018, en el Hotel Drury Plaza. CSS investiga la dinámica social y de comportamiento tanto en la naturaleza como en la sociedad, a través de simulación por computadora, análisis de redes y la ciencia de sistemas complejos. La Sociedad de Ciencias Sociales Computacionales de las Américas (CSSSA) es una sociedad profesional que tiene como objetivo avanzar en el campo de CSS en todas sus áreas, desde principios fundamentales hasta aplicaciones del mundo real, mediante la celebración de conferencias y talleres, promoviendo estándares de excelencia cientÃfica en la investigación. y enseñar y publicar resultados de investigaciones novedosas. Lo que sigue es una representación diversa de nuevos enfoques y hallazgos de investigación, utilizando las herramientas de CSS y Modelado basado en agentes (ABM) para explorar fenómenos complejos en muchos dominios diferentes. . Nota de contenido: Chapter1. Exposing bot activity with PARAFAC tensor decompositions -- Chapter2. To Share or Not to Share: Effect of Peer-to-Peer Mentoring on Dynamics of Graduate Life -- Chapter3. How to code algorithms to favor public goods over private ones -- Chapter4. Institutional Emergence and the Persistence of Inequality in Hamilton, ON 1851-1861 -- Chapter5. Identifying the Risk of Clinical Trial Failures: A Text Mining Approach -- Chapter6. Islamic Extremism and the Crystallization of Norms: An Agent-Based Model of Prison Radicalization -- Chapter7. An Agent-based Modeling for Simulating Land Degradation and Food Shortage in North Korea -- Chapter8. Alleviating Traffic Congestion by the Strategy of Modal Shift from Private Cars to Public Transports: A Case of Dhaka City, Bangladesh -- Chapter9. What Can Honeybees Tell Us about Social Learning? -- Chapter10. Understanding the Impact of Farmer Autonomy on Transportation Collaboration using Agent-based Modeling -- Chapter11. The Transmission of Information in Random Social Networks -- Chapter12. Does Socioeconomic Feedback Matter for Water Demand Models? -- Chapter13. A Popularity-Based Model of the Diffusion of Innovation on GitHub -- Chapter14. Segregation-sensitivity and Threshold-dependency in Residential Segregation -- Chapter15. Revisiting Markov Models of Intragenerational Social Mobility -- Chapter16. NetLogo meets Discrete Event Simulation -- Chapter17. Priming the W-O-M pump: Seeding Information to Increase Solar PV Adoption -- Chapter18. Modeling Schools' Capacity for Lasting Change: A System Dynamics and Simulation-Based Approach -- Chapter19. Model Structure of Agent-Based Artificial System for Reproducing Bullying Phenomenon -- Chapter20. Predictors of Rooftop Solar Adoption in Rural Virginia -- Chapter21. Using Agent-Based Modeling to Analyze Systemic Risk Within the Housing Market -- Chapter22. The Impact of Indirect Minority Influence on Diversity of Opinion and the Magnitude, Speed and Frequency of Social Change -- Chapter23. Understanding Power-Law Behaviors in Surname Distribution: An Agent-Based Analysis -- Chapter24. Evaluation Of Simulated Agent – Based Computational Models Of Civil Violence With the Boko Haram Conflict -- Chapter25. The Marginal Effects of Immigration Enforcement. Tipo de medio : Computadora Summary : This book contains a selection of the latest research in the field of Computational Social Science (CSS) methods, uses, and results, as presented at the 2018 annual conference of the CSSSA. This conference was held in Santa Fe, New Mexico, October 25 – 28, 2018, at the Drury Plaza Hotel. CSS investigates social and behavioral dynamics in both nature and society, through computer simulation, network analysis, and the science of complex systems. 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. What follows is a diverse representation of new approaches and research findings, using the tools of CSS and Agent-Based Modeling (ABM) in exploring complex phenomena across many different domains. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Proceedings of the 2018 Conference of the Computational Social Science Society of the Americas [documento electrónico] / Carmichael, Ted, ; Yang, Zining, . - 1 ed. . - [s.l.] : Springer, 2020 . - IX, 291 p. 109 ilustraciones, 72 ilustraciones en color.
ISBN : 978-3-030-35902-7
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: teorÃa del sistema SociologÃa Ciencias sociales Matemáticas Sistemas complejos Métodos sociológicos Aplicación informática en ciencias sociales y del comportamiento. Matemática Computacional y Análisis Numérico Clasificación: 530.1 Resumen: Este libro contiene una selección de las últimas investigaciones en el campo de los métodos, usos y resultados de las ciencias sociales computacionales (CSS), tal como se presentaron en la conferencia anual de 2018 de la CSSSA. Esta conferencia se llevó a cabo en Santa Fe, Nuevo México, del 25 al 28 de octubre de 2018, en el Hotel Drury Plaza. CSS investiga la dinámica social y de comportamiento tanto en la naturaleza como en la sociedad, a través de simulación por computadora, análisis de redes y la ciencia de sistemas complejos. La Sociedad de Ciencias Sociales Computacionales de las Américas (CSSSA) es una sociedad profesional que tiene como objetivo avanzar en el campo de CSS en todas sus áreas, desde principios fundamentales hasta aplicaciones del mundo real, mediante la celebración de conferencias y talleres, promoviendo estándares de excelencia cientÃfica en la investigación. y enseñar y publicar resultados de investigaciones novedosas. Lo que sigue es una representación diversa de nuevos enfoques y hallazgos de investigación, utilizando las herramientas de CSS y Modelado basado en agentes (ABM) para explorar fenómenos complejos en muchos dominios diferentes. . Nota de contenido: Chapter1. Exposing bot activity with PARAFAC tensor decompositions -- Chapter2. To Share or Not to Share: Effect of Peer-to-Peer Mentoring on Dynamics of Graduate Life -- Chapter3. How to code algorithms to favor public goods over private ones -- Chapter4. Institutional Emergence and the Persistence of Inequality in Hamilton, ON 1851-1861 -- Chapter5. Identifying the Risk of Clinical Trial Failures: A Text Mining Approach -- Chapter6. Islamic Extremism and the Crystallization of Norms: An Agent-Based Model of Prison Radicalization -- Chapter7. An Agent-based Modeling for Simulating Land Degradation and Food Shortage in North Korea -- Chapter8. Alleviating Traffic Congestion by the Strategy of Modal Shift from Private Cars to Public Transports: A Case of Dhaka City, Bangladesh -- Chapter9. What Can Honeybees Tell Us about Social Learning? -- Chapter10. Understanding the Impact of Farmer Autonomy on Transportation Collaboration using Agent-based Modeling -- Chapter11. The Transmission of Information in Random Social Networks -- Chapter12. Does Socioeconomic Feedback Matter for Water Demand Models? -- Chapter13. A Popularity-Based Model of the Diffusion of Innovation on GitHub -- Chapter14. Segregation-sensitivity and Threshold-dependency in Residential Segregation -- Chapter15. Revisiting Markov Models of Intragenerational Social Mobility -- Chapter16. NetLogo meets Discrete Event Simulation -- Chapter17. Priming the W-O-M pump: Seeding Information to Increase Solar PV Adoption -- Chapter18. Modeling Schools' Capacity for Lasting Change: A System Dynamics and Simulation-Based Approach -- Chapter19. Model Structure of Agent-Based Artificial System for Reproducing Bullying Phenomenon -- Chapter20. Predictors of Rooftop Solar Adoption in Rural Virginia -- Chapter21. Using Agent-Based Modeling to Analyze Systemic Risk Within the Housing Market -- Chapter22. The Impact of Indirect Minority Influence on Diversity of Opinion and the Magnitude, Speed and Frequency of Social Change -- Chapter23. Understanding Power-Law Behaviors in Surname Distribution: An Agent-Based Analysis -- Chapter24. Evaluation Of Simulated Agent – Based Computational Models Of Civil Violence With the Boko Haram Conflict -- Chapter25. The Marginal Effects of Immigration Enforcement. Tipo de medio : Computadora Summary : This book contains a selection of the latest research in the field of Computational Social Science (CSS) methods, uses, and results, as presented at the 2018 annual conference of the CSSSA. This conference was held in Santa Fe, New Mexico, October 25 – 28, 2018, at the Drury Plaza Hotel. CSS investigates social and behavioral dynamics in both nature and society, through computer simulation, network analysis, and the science of complex systems. 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. What follows is a diverse representation of new approaches and research findings, using the tools of CSS and Agent-Based Modeling (ABM) in exploring complex phenomena across many different domains. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Proceedings of the 2019 International Conference of The Computational Social Science Society of the Americas Tipo de documento: documento electrónico Autores: Yang, Zining, ; von Briesen, Elizabeth, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XIII, 399 p. 167 ilustraciones, 151 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-77517-9 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: teorÃa del sistema BiotecnologÃa Software de la aplicacion Matemáticas Sistemas complejos Aplicaciones informáticas y de sistemas de información Matemática Computacional y Análisis Numérico Clasificación: 530.1 Resumen: Este libro presenta las últimas investigaciones sobre métodos, usos y resultados de CSS, tal como se presentaron en la conferencia anual de 2019 de CSSSA. Esta conferencia se llevó a cabo en Santa Fe, Nuevo México, del 24 al 27 de octubre de 2019, en el Hotel Drury Plaza. Lo que sigue es una representación diversa de nuevos resultados y enfoques para usar las herramientas de CSS y el modelado basado en agentes (ABM) para explorar fenómenos complejos en muchos dominios diferentes. Por lo tanto, los lectores no sólo tendrán los resultados de estos proyectos especÃficos sobre los cuales construir, sino que también obtendrán una mayor apreciación del amplio alcance de CSS y tendrán una gran cantidad de ejemplos de estudios de casos que pueden servir como ejemplos significativos para nuevos proyectos de investigación. y actividades. La Sociedad de Ciencias Sociales Computacionales de las Américas (CSSSA) es una sociedad profesional que tiene como objetivo avanzar en el campo de CSS en todas sus áreas, desde principios fundamentales hasta aplicaciones del mundo real, mediante la celebración de conferencias y talleres, promoviendo estándares de excelencia cientÃfica en investigación y enseñar y publicar nuevos resultados de investigaciones. Nota de contenido: Chapter 1 - Encoding Protest Duration in an Agent-Based Model as Characteristic PhaseTransitions (Brian Goode and Bianica Pires ) -- Chapter 2 - System-wide Policy Solutions for Water Scarcity Issues (Saeed Langarudi, Ashley Page, Connie Maxwell, Yining Bai, Babak Bahaddin, and Alexander Fernald) -- Chapter 3 - More or Faster? Technology Subsidy Policy, Additional Adoptions, and Accelerated Diffusion (D. Cale Reeves, and Varun Rai) -- Chapter 4 - Assessing the Potential of Crowd-shipping for Food Rescue Logistics Using Agent-based Modeling (Anuj Mittal, Nilufer Oran Gibson, and Caroline Krejci) -- Chapter 5 - The Cat and Mouse Dynamics of Getting Around the Law (Daria Roithmayr, Fei Fang, and Justin Chin) -- Chapter 6 - Social Primitives: Exploring Spark of Life Collective Behavior in Agent Based Models (Srikanth Mudigonda, and Milton Friesen) -- Chapter 7 - Wealth dynamics in the presence of network structure and primitive cooperation ( Rajesh Venkatachalapathy, Stephen Davies, and William Nehrboss) -- Chapter 8 - Resistance of Communities Against Conspiracies ( Amirarsalan Rajabi, Seyyedmilad Talebzadehhosseini, and Ivan Garibay) -- Chapter 9 - Capturing the Production of Innovative Ideas: An Online Social Network Experiment and "Idea Geography" Visualization ( Yiding Cao, Yingjun Dong, Minjun Kim, Neil Maclaren, Ankita Kulkarni, Shelley Dionne, Francis Yammarino, and Hiroki Sayama) -- Chapter 10 - An Agent-Based Model to Understand Simple Theory of Mind: Belief Representation Systematic Approach (BRSA) ( Zahrieh Yousefi, Dietmar Heinke, Ian Apperly, and Peer-Olaf Siebers) -- Chapter 11 - A Model of Emergence featuring Social Mechanisms of Information Compression (Loren Demerath, James Reid, and E. Dante Suarez) -- Chapter 12 - Social viscosity, fluidity and turbulence in collective perceptions of color: an agent-based model of color scale convergence (Juan Salamanca, and Santiago Núñez-Corrales).-Chapter 13 - Abandoned Battlegrounds An Agent-Based Model of Campaign Behavior Change with Proportional Allocation of Electors (John Silver: Electoral College) -- Chapter 14 - Global News Sentiment Analysis (Eric Castellanos, Hang Xie, and Paul Brenner) -- Chapter 15 - Corruption and the effects of influence within social networks: An agent-based model of the Lava Jato scandal (Amira Al-Khulaidy, and Valentin Vergara Hidd) -- Chapter 16 - The Degree-Dependent Threshold Model: Towards a Better Understanding of Opinion Dynamics on Online Social Networks ( *Ece Mutlu, and Ivan Garibay) -- Chapter 17 - Inside the Mind of the Nonfiler: An Agent-Based Modeling Approach (Melissa Vigil, Thi Nguyen, and Ellen Badgley) -- Chapter 18 - A Complex-Systems Agenda for Influencing Policy Analysis ( Paul Davis, Tim McDonald, Ann Pendleton-Jullian, Angela O'Mahony, and Osonde Osoba) -- Chapter 19 - The Evolution of Sharing in the Dictator Game (Jeffrey Schank) -- Chapter 20 - Capturing the Effects of Gentrification on Property Values: An Agent-Based Modeling Approach (Niloofar Bagheri-Jebelli, Andrew T. Crooks, and William G. Kennedy) -- Chapter 21 - Exogenous Shocks Lead to Increased Responsiveness and Shifts in Sentimental Resilience in Online Discussions (Chathika Gunaratne, Subash Ray, Caroline Alves, and Maria Waldl) -- Chapter 22 - Decision-Adjusted Modeling for Imbalanced Classification: Predicting Rooftop Solar Panel Adoption in Rural Virginia (Zhihao Hu, Xinwei Deng, Achla Marathe, Samarth Swarup and Anil Vullikanti) -- Chapter 23 - An agent-based model of social fabric seen as an emergent behavior in cities (Gamaliel Palomo, Mario Siller, Arnaud Grignard, and Luis Alonso) -- Chapter 24 - Modifying human facial impression ( Amanda Song, Chad Atalla, Bartholomew Tam, Linjie Li, and Garrison Cottrell) -- Chapter 25 - Modeling Genocide: An Agent-Based Model of Bystander Motivation and Societal Restraints (Elizabeth von Briesen, Amy Canevello, Samira Shaikh, John Cox, and Mirsad Hadžikadić) -- Chapter 26 - Deep Agent: A Framework for InformationSpread and Evolution in Social Networks ( Ivan Garibay, Toktam Oghaz, and Niloofar Yousefi) -- Chapter 27 - Negative Influence Gradients Lead to Lowered Information Processing Capacity on Social Networks ( Nisha Baral, Chathika Gunaratne, Chathura Jayalath, William Rand, Chathurani Senevirathna, and Ivan Garibay) -- Chapter 28 - Complex Systems Analysis of Transplant Center Performance Metrics (David Dixon). Tipo de medio : Computadora Summary : 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 scientificexcellence in research and teaching, and publishing novel research findings. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Proceedings of the 2019 International Conference of The Computational Social Science Society of the Americas [documento electrónico] / Yang, Zining, ; von Briesen, Elizabeth, . - 1 ed. . - [s.l.] : Springer, 2021 . - XIII, 399 p. 167 ilustraciones, 151 ilustraciones en color.
ISBN : 978-3-030-77517-9
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: teorÃa del sistema BiotecnologÃa Software de la aplicacion Matemáticas Sistemas complejos Aplicaciones informáticas y de sistemas de información Matemática Computacional y Análisis Numérico Clasificación: 530.1 Resumen: Este libro presenta las últimas investigaciones sobre métodos, usos y resultados de CSS, tal como se presentaron en la conferencia anual de 2019 de CSSSA. Esta conferencia se llevó a cabo en Santa Fe, Nuevo México, del 24 al 27 de octubre de 2019, en el Hotel Drury Plaza. Lo que sigue es una representación diversa de nuevos resultados y enfoques para usar las herramientas de CSS y el modelado basado en agentes (ABM) para explorar fenómenos complejos en muchos dominios diferentes. Por lo tanto, los lectores no sólo tendrán los resultados de estos proyectos especÃficos sobre los cuales construir, sino que también obtendrán una mayor apreciación del amplio alcance de CSS y tendrán una gran cantidad de ejemplos de estudios de casos que pueden servir como ejemplos significativos para nuevos proyectos de investigación. y actividades. La Sociedad de Ciencias Sociales Computacionales de las Américas (CSSSA) es una sociedad profesional que tiene como objetivo avanzar en el campo de CSS en todas sus áreas, desde principios fundamentales hasta aplicaciones del mundo real, mediante la celebración de conferencias y talleres, promoviendo estándares de excelencia cientÃfica en investigación y enseñar y publicar nuevos resultados de investigaciones. Nota de contenido: Chapter 1 - Encoding Protest Duration in an Agent-Based Model as Characteristic PhaseTransitions (Brian Goode and Bianica Pires ) -- Chapter 2 - System-wide Policy Solutions for Water Scarcity Issues (Saeed Langarudi, Ashley Page, Connie Maxwell, Yining Bai, Babak Bahaddin, and Alexander Fernald) -- Chapter 3 - More or Faster? Technology Subsidy Policy, Additional Adoptions, and Accelerated Diffusion (D. Cale Reeves, and Varun Rai) -- Chapter 4 - Assessing the Potential of Crowd-shipping for Food Rescue Logistics Using Agent-based Modeling (Anuj Mittal, Nilufer Oran Gibson, and Caroline Krejci) -- Chapter 5 - The Cat and Mouse Dynamics of Getting Around the Law (Daria Roithmayr, Fei Fang, and Justin Chin) -- Chapter 6 - Social Primitives: Exploring Spark of Life Collective Behavior in Agent Based Models (Srikanth Mudigonda, and Milton Friesen) -- Chapter 7 - Wealth dynamics in the presence of network structure and primitive cooperation ( Rajesh Venkatachalapathy, Stephen Davies, and William Nehrboss) -- Chapter 8 - Resistance of Communities Against Conspiracies ( Amirarsalan Rajabi, Seyyedmilad Talebzadehhosseini, and Ivan Garibay) -- Chapter 9 - Capturing the Production of Innovative Ideas: An Online Social Network Experiment and "Idea Geography" Visualization ( Yiding Cao, Yingjun Dong, Minjun Kim, Neil Maclaren, Ankita Kulkarni, Shelley Dionne, Francis Yammarino, and Hiroki Sayama) -- Chapter 10 - An Agent-Based Model to Understand Simple Theory of Mind: Belief Representation Systematic Approach (BRSA) ( Zahrieh Yousefi, Dietmar Heinke, Ian Apperly, and Peer-Olaf Siebers) -- Chapter 11 - A Model of Emergence featuring Social Mechanisms of Information Compression (Loren Demerath, James Reid, and E. Dante Suarez) -- Chapter 12 - Social viscosity, fluidity and turbulence in collective perceptions of color: an agent-based model of color scale convergence (Juan Salamanca, and Santiago Núñez-Corrales).-Chapter 13 - Abandoned Battlegrounds An Agent-Based Model of Campaign Behavior Change with Proportional Allocation of Electors (John Silver: Electoral College) -- Chapter 14 - Global News Sentiment Analysis (Eric Castellanos, Hang Xie, and Paul Brenner) -- Chapter 15 - Corruption and the effects of influence within social networks: An agent-based model of the Lava Jato scandal (Amira Al-Khulaidy, and Valentin Vergara Hidd) -- Chapter 16 - The Degree-Dependent Threshold Model: Towards a Better Understanding of Opinion Dynamics on Online Social Networks ( *Ece Mutlu, and Ivan Garibay) -- Chapter 17 - Inside the Mind of the Nonfiler: An Agent-Based Modeling Approach (Melissa Vigil, Thi Nguyen, and Ellen Badgley) -- Chapter 18 - A Complex-Systems Agenda for Influencing Policy Analysis ( Paul Davis, Tim McDonald, Ann Pendleton-Jullian, Angela O'Mahony, and Osonde Osoba) -- Chapter 19 - The Evolution of Sharing in the Dictator Game (Jeffrey Schank) -- Chapter 20 - Capturing the Effects of Gentrification on Property Values: An Agent-Based Modeling Approach (Niloofar Bagheri-Jebelli, Andrew T. Crooks, and William G. Kennedy) -- Chapter 21 - Exogenous Shocks Lead to Increased Responsiveness and Shifts in Sentimental Resilience in Online Discussions (Chathika Gunaratne, Subash Ray, Caroline Alves, and Maria Waldl) -- Chapter 22 - Decision-Adjusted Modeling for Imbalanced Classification: Predicting Rooftop Solar Panel Adoption in Rural Virginia (Zhihao Hu, Xinwei Deng, Achla Marathe, Samarth Swarup and Anil Vullikanti) -- Chapter 23 - An agent-based model of social fabric seen as an emergent behavior in cities (Gamaliel Palomo, Mario Siller, Arnaud Grignard, and Luis Alonso) -- Chapter 24 - Modifying human facial impression ( Amanda Song, Chad Atalla, Bartholomew Tam, Linjie Li, and Garrison Cottrell) -- Chapter 25 - Modeling Genocide: An Agent-Based Model of Bystander Motivation and Societal Restraints (Elizabeth von Briesen, Amy Canevello, Samira Shaikh, John Cox, and Mirsad Hadžikadić) -- Chapter 26 - Deep Agent: A Framework for InformationSpread and Evolution in Social Networks ( Ivan Garibay, Toktam Oghaz, and Niloofar Yousefi) -- Chapter 27 - Negative Influence Gradients Lead to Lowered Information Processing Capacity on Social Networks ( Nisha Baral, Chathika Gunaratne, Chathura Jayalath, William Rand, Chathurani Senevirathna, and Ivan Garibay) -- Chapter 28 - Complex Systems Analysis of Transplant Center Performance Metrics (David Dixon). Tipo de medio : Computadora Summary : 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 scientificexcellence in research and teaching, and publishing novel research findings. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Proceedings of the 2020 Conference of The Computational Social Science Society of the Americas Tipo de documento: documento electrónico Autores: Yang, Zining, ; von Briesen, Elizabeth, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: IX, 279 p. 131 ilustraciones, 123 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-83418-0 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: FÃsica matemática Simulación por ordenador escuelas de economia teorÃa del sistema Sistemas dinámicos Complejidad computacional TeorÃa de juego FÃsica Computacional y Simulaciones EconomÃa basada en agentes Sistemas complejos Clasificación: 53.010.285 Resumen: Este libro se compone de las últimas investigaciones sobre métodos, usos y resultados de CSS, tal como se presentaron en la conferencia anual de 2020 de la Sociedad de Ciencias Sociales Computacionales de las Américas (CSSSA). La ciencia social computacional (CSS) es la ciencia que investiga la dinámica social y del comportamiento a través de la simulación social, el análisis de redes sociales y el análisis de redes sociales. La CSSSA es una sociedad profesional que tiene como objetivo promover el campo de las ciencias sociales computacionales en todas las áreas, incluidas las orientaciones básicas y aplicadas, mediante la celebración de conferencias y talleres, la promoción de estándares de excelencia cientÃfica en la investigación y la enseñanza, y la publicación de hallazgos y resultados de investigaciones. La conferencia mencionada anteriormente se celebró virtualmente del 8 al 11 de octubre de 2020. Lo que sigue es una representación diversa de nuevos resultados y enfoques para el uso de las herramientas de CSS y el modelado basado en agentes (ABM) para explorar fenómenos complejos en muchos dominios diferentes. Por lo tanto, los lectores no sólo tendrán los resultados de estos proyectos especÃficos sobre los cuales construir, junto con una gran cantidad de ejemplos de estudios de caso que pueden servir como ejemplos significativos para nuevos proyectos y actividades de investigación, sino que también obtendrán una mayor apreciación del amplio alcance. de CSS. Nota de contenido: Chapter 1 - Creating Intelligent Agents: Combining Agent-Based Modeling with Machine Learning (Dale Brearcliffe and Andrew Crooks) -- Chapter 2 - Envy splits societies into a lower and a upper class (Claudius Gros) -- Chapter 3 - Effects of Non-Cognitive Factors on Post-Secondary Persistence of Deaf Students: An Agent-Based Modeling Approach (Marie Alaghband and Ivan Garibay) -- Chapter 4 - Comparing Agent-Based Modeling to Cooperative Game Theory and Human Behavior (Andrew Collins) -- Chapter 5 - Analyzing transnational narratives in Twitter: an unsupervised approach using PARAFAC (Peter Chew and Jonathan Chew) -- Chapter 6 - In-Silico models with greater fidelity to social processes: towards ABM platforms with realistic concurrency (Santiago Núñez-Corrales, Milton Friesen, Srikanth Mudigonda, Rajesh Venkatachalapathy and Jeffrey Graham) -- Chapter 7 - Dynamics of Information Perception in Management of Commons (Saeed Langarudi, Carlos Silva and Sam Fernald) -- Chapter 8 - Psychology from Stigmergy (H. Van Dyke Parunak) -- Chapter 9 - CD-SEIZ: Cognition-Driven SEIZ Compartmental Model for the Prediction of Information Cascades on Twitter (Ece Mutlu, Ivan Garibay and Amirarsalan Rajabi) -- Chapter 10 - Cultural Drift, Indirect Minority Influence, Network Structure and Their Impacts on Cultural Change and Diversity (Jiin Jung, Aaron Bramson, William Crano, Scott Page and John Miller) -- Chapter 11 - An agent-based model to evaluate the perception of safety in informal settlements (Leticia Izquiero, Gamaliel Palomo, Arnaud Grignard, Luis Alonso, Mario Siller and Kent Larson) -- Chapter 12 - Study of Altruism as a Behavioral Trait in Game Theory Network Dynamics with Prisoner Dilemma Games (William Leibzon) -- Chapter 13 - Analyzing the potential impact of nonpharmaceutical interventions on the spread of COVID-19 (COVID-19 work in progress) (Matthew Koehler, David Slater, Garry Jacyna and James Thompson).-Chapter 14 - An Agent-Based Model of Infectious Diseases that Incorporates the Role of Immune Cells and Antibodies (Shigeaki Ogibayashi) -- Chapter 15 - Heterogeneity in populations and behaviors: An agent-based model of the social spread of COVID-19 (Nicholas Willems, Cale Reeves, Vivek Shastry and Varun Rai) -- Chapter 16 - 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 (Vivek Shastry, Cale Reeves, Nicholas Willems and Varun Rai) -- Chapter 17 - Investigating dynamics of COVID-19 spread and containment with agent-based modelling (Amirarsalan Rajabi, Alexander Mantzaris, Ece Mutlu and Ivan Garibay) -- Chapter 18 - Purchasing Power to the People: An Agent-Based Simulation of Pandemic Economic Recovery (Youngsun Hwang, Joseph Immormino and Glenn-Iain Steinback) -- Chapter 19 - Agent-based models of Quadratic Voting (Jacob Kelter, Andreas Bugler and Uri Wilensky) -- Chapter 20 - Towards a model of the national market system: fragmented and heterogenous venues (Brian Tivnan, Carl Burke, Matthew Koehler, Matthew Mcmahon And Jason Veneman) -- Chapter 21 - Online Rejection Influence on Behavior Deviancy and Radicalization: An Agent-Based Model Approach (Hanin Alhaddad, Nisha Baral and Ivan Garibay) -- Chapter 22 - An agent-based model of digitally-mediated farmer transportation collaboration (Narjes Sadeghiamirshahidi, Anuj Mittal and Caroline Krejci) -- Chapter 23 - Geometries of Desire: Simulating Rene Girard's Mimetic Theory (Graham Sack) -- Chapter 24 - Can Institutionalization Prevent the Depletion of Groundwater Resources? (Mehdi Moghadam Manesh, Saeed Langarudi and Birgit Kopainsky). Tipo de medio : Computadora Summary : 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. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Proceedings of the 2020 Conference of The Computational Social Science Society of the Americas [documento electrónico] / Yang, Zining, ; von Briesen, Elizabeth, . - 1 ed. . - [s.l.] : Springer, 2021 . - IX, 279 p. 131 ilustraciones, 123 ilustraciones en color.
ISBN : 978-3-030-83418-0
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Idioma : Inglés (eng)
Palabras clave: FÃsica matemática Simulación por ordenador escuelas de economia teorÃa del sistema Sistemas dinámicos Complejidad computacional TeorÃa de juego FÃsica Computacional y Simulaciones EconomÃa basada en agentes Sistemas complejos Clasificación: 53.010.285 Resumen: Este libro se compone de las últimas investigaciones sobre métodos, usos y resultados de CSS, tal como se presentaron en la conferencia anual de 2020 de la Sociedad de Ciencias Sociales Computacionales de las Américas (CSSSA). La ciencia social computacional (CSS) es la ciencia que investiga la dinámica social y del comportamiento a través de la simulación social, el análisis de redes sociales y el análisis de redes sociales. La CSSSA es una sociedad profesional que tiene como objetivo promover el campo de las ciencias sociales computacionales en todas las áreas, incluidas las orientaciones básicas y aplicadas, mediante la celebración de conferencias y talleres, la promoción de estándares de excelencia cientÃfica en la investigación y la enseñanza, y la publicación de hallazgos y resultados de investigaciones. La conferencia mencionada anteriormente se celebró virtualmente del 8 al 11 de octubre de 2020. Lo que sigue es una representación diversa de nuevos resultados y enfoques para el uso de las herramientas de CSS y el modelado basado en agentes (ABM) para explorar fenómenos complejos en muchos dominios diferentes. Por lo tanto, los lectores no sólo tendrán los resultados de estos proyectos especÃficos sobre los cuales construir, junto con una gran cantidad de ejemplos de estudios de caso que pueden servir como ejemplos significativos para nuevos proyectos y actividades de investigación, sino que también obtendrán una mayor apreciación del amplio alcance. de CSS. Nota de contenido: Chapter 1 - Creating Intelligent Agents: Combining Agent-Based Modeling with Machine Learning (Dale Brearcliffe and Andrew Crooks) -- Chapter 2 - Envy splits societies into a lower and a upper class (Claudius Gros) -- Chapter 3 - Effects of Non-Cognitive Factors on Post-Secondary Persistence of Deaf Students: An Agent-Based Modeling Approach (Marie Alaghband and Ivan Garibay) -- Chapter 4 - Comparing Agent-Based Modeling to Cooperative Game Theory and Human Behavior (Andrew Collins) -- Chapter 5 - Analyzing transnational narratives in Twitter: an unsupervised approach using PARAFAC (Peter Chew and Jonathan Chew) -- Chapter 6 - In-Silico models with greater fidelity to social processes: towards ABM platforms with realistic concurrency (Santiago Núñez-Corrales, Milton Friesen, Srikanth Mudigonda, Rajesh Venkatachalapathy and Jeffrey Graham) -- Chapter 7 - Dynamics of Information Perception in Management of Commons (Saeed Langarudi, Carlos Silva and Sam Fernald) -- Chapter 8 - Psychology from Stigmergy (H. Van Dyke Parunak) -- Chapter 9 - CD-SEIZ: Cognition-Driven SEIZ Compartmental Model for the Prediction of Information Cascades on Twitter (Ece Mutlu, Ivan Garibay and Amirarsalan Rajabi) -- Chapter 10 - Cultural Drift, Indirect Minority Influence, Network Structure and Their Impacts on Cultural Change and Diversity (Jiin Jung, Aaron Bramson, William Crano, Scott Page and John Miller) -- Chapter 11 - An agent-based model to evaluate the perception of safety in informal settlements (Leticia Izquiero, Gamaliel Palomo, Arnaud Grignard, Luis Alonso, Mario Siller and Kent Larson) -- Chapter 12 - Study of Altruism as a Behavioral Trait in Game Theory Network Dynamics with Prisoner Dilemma Games (William Leibzon) -- Chapter 13 - Analyzing the potential impact of nonpharmaceutical interventions on the spread of COVID-19 (COVID-19 work in progress) (Matthew Koehler, David Slater, Garry Jacyna and James Thompson).-Chapter 14 - An Agent-Based Model of Infectious Diseases that Incorporates the Role of Immune Cells and Antibodies (Shigeaki Ogibayashi) -- Chapter 15 - Heterogeneity in populations and behaviors: An agent-based model of the social spread of COVID-19 (Nicholas Willems, Cale Reeves, Vivek Shastry and Varun Rai) -- Chapter 16 - 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 (Vivek Shastry, Cale Reeves, Nicholas Willems and Varun Rai) -- Chapter 17 - Investigating dynamics of COVID-19 spread and containment with agent-based modelling (Amirarsalan Rajabi, Alexander Mantzaris, Ece Mutlu and Ivan Garibay) -- Chapter 18 - Purchasing Power to the People: An Agent-Based Simulation of Pandemic Economic Recovery (Youngsun Hwang, Joseph Immormino and Glenn-Iain Steinback) -- Chapter 19 - Agent-based models of Quadratic Voting (Jacob Kelter, Andreas Bugler and Uri Wilensky) -- Chapter 20 - Towards a model of the national market system: fragmented and heterogenous venues (Brian Tivnan, Carl Burke, Matthew Koehler, Matthew Mcmahon And Jason Veneman) -- Chapter 21 - Online Rejection Influence on Behavior Deviancy and Radicalization: An Agent-Based Model Approach (Hanin Alhaddad, Nisha Baral and Ivan Garibay) -- Chapter 22 - An agent-based model of digitally-mediated farmer transportation collaboration (Narjes Sadeghiamirshahidi, Anuj Mittal and Caroline Krejci) -- Chapter 23 - Geometries of Desire: Simulating Rene Girard's Mimetic Theory (Graham Sack) -- Chapter 24 - Can Institutionalization Prevent the Depletion of Groundwater Resources? (Mehdi Moghadam Manesh, Saeed Langarudi and Birgit Kopainsky). Tipo de medio : Computadora Summary : 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. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
