Computational Social Science And Complex Systems

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Computational Social Science and Complex Systems

Author : J. Kertész,R.N. Mantegna,S. Miccichè
Publisher : IOS Press
Page : 212 pages
File Size : 51,8 Mb
Release : 2019-11-20
Category : Social Science
ISBN : 9781643680378

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Computational Social Science and Complex Systems by J. Kertész,R.N. Mantegna,S. Miccichè Pdf

For many years, the development of large-scale quantitative social science was hindered by a lack of data. Traditional methods of data collection like surveys were very useful, but were limited. The situation has of course changed with the development of computing and information communication technology, and we now live in a world of data deluge, where the question has become how to extract important information from the plethora of data that can be accessed. Big Data has made it possible to study societal questions which were once impossible to deal with, but new tools and new multidisciplinary approaches are required. Physicists, together with economists, sociologists, computer scientists, etc. have played an important role in their development. This book presents the 9 lectures delivered at the CCIII Summer Course Computational Social Science and Complex Systems, held as part of the International School of Physics Enrico Fermi in Varenna, Italy, from 16-21 July 2018. The course had the aim of presenting some of the recent developments in the interdisciplinary fields of computational social science and econophysics to PhD students and young researchers, with lectures focused on recent problems investigated in computational social science. Addressing some of the basic questions and many of the subtleties of the emerging field of computational social science, the book will be of interest to students, researchers and advanced research professionals alike.

Complex Systems in the Social and Behavioral Sciences

Author : L. Douglas Kiel,Euel W. Elliott
Publisher : Unknown
Page : 448 pages
File Size : 53,5 Mb
Release : 2021-06-22
Category : Electronic
ISBN : 0472074881

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Complex Systems in the Social and Behavioral Sciences by L. Douglas Kiel,Euel W. Elliott Pdf

Complexity systems are at the heart of behavior

Proceedings of the 2018 Conference of the Computational Social Science Society of the Americas

Author : Ted Carmichael,Zining Yang
Publisher : Springer Nature
Page : 292 pages
File Size : 44,7 Mb
Release : 2020-05-27
Category : Mathematics
ISBN : 9783030359027

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Proceedings of the 2018 Conference of the Computational Social Science Society of the Americas by Ted Carmichael,Zining Yang Pdf

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. Readers will not only have the methods and 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. This book, we hope, will appeal to any researchers and students working in the social sciences, broadly defined, who aim to better understand and apply the concepts of Complex Adaptive Systems to their work.

Pathways Between Social Science and Computational Social Science

Author : Tamás Rudas,Gábor Péli
Publisher : Springer Nature
Page : 284 pages
File Size : 40,8 Mb
Release : 2021-01-22
Category : Social Science
ISBN : 9783030549367

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Pathways Between Social Science and Computational Social Science by Tamás Rudas,Gábor Péli Pdf

This volume shows that the emergence of computational social science (CSS) is an endogenous response to problems from within the social sciences and not exogeneous. The three parts of the volume address various pathways along which CSS has been developing from and interacting with existing research frameworks. The first part exemplifies how new theoretical models and approaches on which CSS research is based arise from theories of social science. The second part is about methodological advances facilitated by CSS-related techniques. The third part illustrates the contribution of CSS to traditional social science topics, further attesting to the embedded nature of CSS. The expected readership of the volume includes researchers with a traditional social science background who wish to approach CSS, experts in CSS looking for substantive links to more traditional social science theories, methods and topics, and finally, students working in both fields.

Computational and Mathematical Modeling in the Social Sciences

Author : Scott de Marchi
Publisher : Cambridge University Press
Page : 232 pages
File Size : 41,7 Mb
Release : 2005-08-15
Category : Business & Economics
ISBN : 0521853621

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Computational and Mathematical Modeling in the Social Sciences by Scott de Marchi Pdf

Offers an overview of mathematical modeling concentrating on game theory, statistics and computational modeling.

Computational Social Science

Author : R. Michael Alvarez
Publisher : Cambridge University Press
Page : 128 pages
File Size : 43,6 Mb
Release : 2016-03-07
Category : Political Science
ISBN : 9781316531280

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Computational Social Science by R. Michael Alvarez Pdf

Quantitative research in social science research is changing rapidly. Researchers have vast and complex arrays of data with which to work: we have incredible tools to sift through the data and recognize patterns in that data; there are now many sophisticated models that we can use to make sense of those patterns; and we have extremely powerful computational systems that help us accomplish these tasks quickly. This book focuses on some of the extraordinary work being conducted in computational social science - in academia, government, and the private sector - while highlighting current trends, challenges, and new directions. Thus, Computational Social Science showcases the innovative methodological tools being developed and applied by leading researchers in this new field. The book shows how academics and the private sector are using many of these tools to solve problems in social science and public policy.

Introduction to Computational Social Science

Author : Claudio Cioffi-Revilla
Publisher : Springer
Page : 636 pages
File Size : 54,6 Mb
Release : 2017-06-29
Category : Computers
ISBN : 9783319501314

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Introduction to Computational Social Science by Claudio Cioffi-Revilla Pdf

This textbook provides a comprehensive and reader-friendly introduction to the field of computational social science (CSS). Presenting a unified treatment, the text examines in detail the four key methodological approaches of automated social information extraction, social network analysis, social complexity theory, and social simulation modeling. This updated new edition has been enhanced with numerous review questions and exercises to test what has been learned, deepen understanding through problem-solving, and to practice writing code to implement ideas. Topics and features: contains more than a thousand questions and exercises, together with a list of acronyms and a glossary; examines the similarities and differences between computers and social systems; presents a focus on automated information extraction; discusses the measurement, scientific laws, and generative theories of social complexity in CSS; reviews the methodology of social simulations, covering both variable- and object-oriented models.

Social Emergence

Author : R. Keith Sawyer
Publisher : Cambridge University Press
Page : 296 pages
File Size : 48,7 Mb
Release : 2005-10-27
Category : Philosophy
ISBN : 0521844649

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Social Emergence by R. Keith Sawyer Pdf

This book argues that societies are complex dynamical systems that can be understood through the concept of emergence.

Behavioral Computational Social Science

Author : Riccardo Boero
Publisher : John Wiley & Sons
Page : 200 pages
File Size : 46,6 Mb
Release : 2015-07-21
Category : Mathematics
ISBN : 9781119106166

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Behavioral Computational Social Science by Riccardo Boero Pdf

This book is organized in two parts: the first part introduces the reader to all the concepts, tools and references that are required to start conducting research in behavioral computational social science. The methodological reasons for integrating the two approaches are also presented from the individual and separated viewpoints of the two approaches.The second part of the book, presents all the advanced methodological and technical aspects that are relevant for the proposed integration. Several contributions which effectively merge the computational and the behavioral approaches are presented and discussed throughout

Complex Adaptive Systems

Author : John H. Miller,Scott E. Page
Publisher : Princeton University Press
Page : 285 pages
File Size : 51,5 Mb
Release : 2009-11-28
Category : Social Science
ISBN : 9781400835522

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Complex Adaptive Systems by John H. Miller,Scott E. Page Pdf

This book provides the first clear, comprehensive, and accessible account of complex adaptive social systems, by two of the field's leading authorities. Such systems--whether political parties, stock markets, or ant colonies--present some of the most intriguing theoretical and practical challenges confronting the social sciences. Engagingly written, and balancing technical detail with intuitive explanations, Complex Adaptive Systems focuses on the key tools and ideas that have emerged in the field since the mid-1990s, as well as the techniques needed to investigate such systems. It provides a detailed introduction to concepts such as emergence, self-organized criticality, automata, networks, diversity, adaptation, and feedback. It also demonstrates how complex adaptive systems can be explored using methods ranging from mathematics to computational models of adaptive agents. John Miller and Scott Page show how to combine ideas from economics, political science, biology, physics, and computer science to illuminate topics in organization, adaptation, decentralization, and robustness. They also demonstrate how the usual extremes used in modeling can be fruitfully transcended.

Computational Thinking and Social Science

Author : Matti Nelimarkka
Publisher : SAGE
Page : 503 pages
File Size : 46,9 Mb
Release : 2022-11-30
Category : Social Science
ISBN : 9781529756302

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Computational Thinking and Social Science by Matti Nelimarkka Pdf

Whilst providing a fundamental understanding of computational social science, this book delves into the tools and techniques used to build familiarity with programming and gain context into how, why and when they are introduced. The overall focus is on helping you understand and design computational social science research, alongside delving into hands-on coding and technical instruction. Key features include: Further reading Exercises accompanied by sample code Programming examples in Scratch, Python and R Key concepts Chapter summaries With experience in course design and teaching, Matti Nelimarkka has a deep understanding of learning techniques within computational social sciences, with the main aim of blending researching, thinking and designing together to gain a grounded foundation for coding, programming, methodologies and key concepts.

Doing Computational Social Science

Author : John McLevey
Publisher : SAGE
Page : 556 pages
File Size : 53,8 Mb
Release : 2021-12-15
Category : Social Science
ISBN : 9781529737592

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Doing Computational Social Science by John McLevey Pdf

Computational approaches offer exciting opportunities for us to do social science differently. This beginner’s guide discusses a range of computational methods and how to use them to study the problems and questions you want to research. It assumes no knowledge of programming, offering step-by-step guidance for coding in Python and drawing on examples of real data analysis to demonstrate how you can apply each approach in any discipline. The book also: Considers important principles of social scientific computing, including transparency, accountability and reproducibility. Understands the realities of completing research projects and offers advice for dealing with issues such as messy or incomplete data and systematic biases. Empowers you to learn at your own pace, with online resources including screencast tutorials and datasets that enable you to practice your skills and get up to speed. For anyone who wants to use computational methods to conduct a social science research project, this book equips you with the skills, good habits and best working practices to do rigorous, high quality work.

Handbook of Computational Social Science, Volume 1

Author : Uwe Engel,Anabel Quan-Haase,Sunny Liu,Lars E Lyberg
Publisher : Taylor & Francis
Page : 417 pages
File Size : 49,6 Mb
Release : 2021-11-10
Category : Computers
ISBN : 9781000448580

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Handbook of Computational Social Science, Volume 1 by Uwe Engel,Anabel Quan-Haase,Sunny Liu,Lars E Lyberg Pdf

The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This first volume focuses on the scope of computational social science, ethics, and case studies. It covers a range of key issues, including open science, formal modeling, and the social and behavioral sciences. This volume explores major debates, introduces digital trace data, reviews the changing survey landscape, and presents novel examples of computational social science research on sensing social interaction, social robots, bots, sentiment, manipulation, and extremism in social media. The volume not only makes major contributions to the consolidation of this growing research field but also encourages growth in new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates, and researchers engaging with computational methods across the social sciences, as well as those within the scientifi c and engineering sectors.

Computational Models of Complex Systems

Author : Vijay Kumar Mago,Vahid Dabbaghian
Publisher : Springer Science & Business Media
Page : 196 pages
File Size : 54,9 Mb
Release : 2013-10-31
Category : Technology & Engineering
ISBN : 9783319012858

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Computational Models of Complex Systems by Vijay Kumar Mago,Vahid Dabbaghian Pdf

Computational and mathematical models provide us with the opportunities to investigate the complexities of real world problems. They allow us to apply our best analytical methods to define problems in a clearly mathematical manner and exhaustively test our solutions before committing expensive resources. This is made possible by assuming parameter(s) in a bounded environment, allowing for controllable experimentation, not always possible in live scenarios. For example, simulation of computational models allows the testing of theories in a manner that is both fundamentally deductive and experimental in nature. The main ingredients for such research ideas come from multiple disciplines and the importance of interdisciplinary research is well recognized by the scientific community. This book provides a window to the novel endeavours of the research communities to present their works by highlighting the value of computational modelling as a research tool when investigating complex systems. We hope that the readers will have stimulating experiences to pursue research in these directions.

Social-Behavioral Modeling for Complex Systems

Author : Paul K. Davis,Angela O'Mahony,Jonathan Pfautz
Publisher : John Wiley & Sons
Page : 992 pages
File Size : 49,8 Mb
Release : 2019-03-13
Category : Technology & Engineering
ISBN : 9781119484981

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Social-Behavioral Modeling for Complex Systems by Paul K. Davis,Angela O'Mahony,Jonathan Pfautz Pdf

This volume describes frontiers in social-behavioral modeling for contexts as diverse as national security, health, and on-line social gaming. Recent scientific and technological advances have created exciting opportunities for such improvements. However, the book also identifies crucial scientific, ethical, and cultural challenges to be met if social-behavioral modeling is to achieve its potential. Doing so will require new methods, data sources, and technology. The volume discusses these, including those needed to achieve and maintain high standards of ethics and privacy. The result should be a new generation of modeling that will advance science and, separately, aid decision-making on major social and security-related subjects despite the myriad uncertainties and complexities of social phenomena. Intended to be relatively comprehensive in scope, the volume balances theory-driven, data-driven, and hybrid approaches. The latter may be rapidly iterative, as when artificial-intelligence methods are coupled with theory-driven insights to build models that are sound, comprehensible and usable in new situations. With the intent of being a milestone document that sketches a research agenda for the next decade, the volume draws on the wisdom, ideas and suggestions of many noted researchers who draw in turn from anthropology, communications, complexity science, computer science, defense planning, economics, engineering, health systems, medicine, neuroscience, physics, political science, psychology, public policy and sociology. In brief, the volume discusses: Cutting-edge challenges and opportunities in modeling for social and behavioral science Special requirements for achieving high standards of privacy and ethics New approaches for developing theory while exploiting both empirical and computational data Issues of reproducibility, communication, explanation, and validation Special requirements for models intended to inform decision making about complex social systems