Computational Social Psychology

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Computational Social Psychology

Author : Robin R. Vallacher,Stephen J. Read,Andrzej Nowak
Publisher : Routledge
Page : 694 pages
File Size : 47,6 Mb
Release : 2017-05-25
Category : Psychology
ISBN : 9781351701679

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Computational Social Psychology by Robin R. Vallacher,Stephen J. Read,Andrzej Nowak Pdf

Computational Social Psychology showcases a new approach to social psychology that enables theorists and researchers to specify social psychological processes in terms of formal rules that can be implemented and tested using the power of high speed computing technology and sophisticated software. This approach allows for previously infeasible investigations of the multi-dimensional nature of human experience as it unfolds in accordance with different temporal patterns on different timescales. In effect, the computational approach represents a rediscovery of the themes and ambitions that launched the field over a century ago. The book brings together social psychologists with varying topical interests who are taking the lead in this redirection of the field. Many present formal models that are implemented in computer simulations to test basic assumptions and investigate the emergence of higher-order properties; others develop models to fit the real-time evolution of people’s inner states, overt behavior, and social interactions. Collectively, the contributions illustrate how the methods and tools of the computational approach can investigate, and transform, the diverse landscape of social psychology.

The Cambridge Handbook of Computational Psychology

Author : Ron Sun
Publisher : Cambridge University Press
Page : 767 pages
File Size : 43,9 Mb
Release : 2008-04-28
Category : Computers
ISBN : 9780521674102

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The Cambridge Handbook of Computational Psychology by Ron Sun Pdf

A cutting-edge reference source for the interdisciplinary field of computational cognitive modeling.

Doing Computational Social Science

Author : John McLevey
Publisher : SAGE
Page : 556 pages
File Size : 49,7 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 Xun Liu,Lars E Lyberg
Publisher : Routledge
Page : 388 pages
File Size : 50,5 Mb
Release : 2021-09
Category : Computers
ISBN : 1003024580

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Handbook of Computational Social Science, Volume 1 by Uwe Engel,Anabel Quan-Haase,Sunny Xun 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 into 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 scientific and engineering sectors"--

Introduction to Computational Social Science

Author : Claudio Cioffi-Revilla
Publisher : Springer
Page : 636 pages
File Size : 43,8 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.

Computational Social Science

Author : Wei Luo,Maria Ciurea,Santosh Kumar
Publisher : CRC Press
Page : 0 pages
File Size : 48,9 Mb
Release : 2022-09
Category : Social sciences
ISBN : 0367701952

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Computational Social Science by Wei Luo,Maria Ciurea,Santosh Kumar Pdf

Selected papers from a conference focusing on the following five aspects: Big data acquisition and analysis, Integration of qualitative research and quantitative research, Sociological Internet experiment research, Application of ABM simulation method in Sociology Research, Research and development of new social computing tools.

Computational Social Science

Author : Wei Luo,Maria Ciurea,Santosh Kumar
Publisher : CRC Press
Page : 1088 pages
File Size : 43,8 Mb
Release : 2021-02-18
Category : Computers
ISBN : 9781000389548

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Computational Social Science by Wei Luo,Maria Ciurea,Santosh Kumar Pdf

Selected papers from the International Conference on New Computational Social Science, focusing on the following five aspects: Big data acquisition and analysis, Integration of qualitative research and quantitative research, Sociological Internet experiment research, Application of ABM simulation method in Sociology Research, Research and development of new social computing tools. With the rapid development of information technology, especially sweeping progress in the Internet of things, cloud computing, social networks, social media and big data, social computing, as a data-intensive science, is an emerging field that leverages the capacity to collect and analyze data with an unprecedented breadth, depth and scale. It represents a new computing paradigm and an interdisciplinary field of research and application. A broad comprehension of major topics involved in social computing is important for both scholars and practitioners. This proceedings presents and discusses key concepts and analyzes the state-of-the-art of the field. The conference not only gave insights on social computing, but also affords conduit for future research in the field. Social computing has two distinct trends: One is on the social science issues, such as computational social science, computational sociology, social network analysis, etc; The other is on the use of computational techniques. Finally some new challenges ahead are summarized, including interdisciplinary cooperation and training, big data sharing for scientific data mashups, and privacy protect.

Big Data in Computational Social Science and Humanities

Author : Shu-Heng Chen
Publisher : Springer
Page : 388 pages
File Size : 46,8 Mb
Release : 2018-11-21
Category : Computers
ISBN : 9783319954653

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Big Data in Computational Social Science and Humanities by Shu-Heng Chen Pdf

This edited volume focuses on big data implications for computational social science and humanities from management to usage. The first part of the book covers geographic data, text corpus data, and social media data, and exemplifies their concrete applications in a wide range of fields including anthropology, economics, finance, geography, history, linguistics, political science, psychology, public health, and mass communications. The second part of the book provides a panoramic view of the development of big data in the fields of computational social sciences and humanities. The following questions are addressed: why is there a need for novel data governance for this new type of data?, why is big data important for social scientists?, and how will it revolutionize the way social scientists conduct research? With the advent of the information age and technologies such as Web 2.0, ubiquitous computing, wearable devices, and the Internet of Things, digital society has fundamentally changed what we now know as "data", the very use of this data, and what we now call "knowledge". Big data has become the standard in social sciences, and has made these sciences more computational. Big Data in Computational Social Science and Humanities will appeal to graduate students and researchers working in the many subfields of the social sciences and humanities.

Computational Social Science

Author : R. Michael Alvarez
Publisher : Cambridge University Press
Page : 128 pages
File Size : 51,8 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.

The Oxford Handbook of Computational and Mathematical Psychology

Author : Jerome R. Busemeyer,Zheng Wang,James T. Townsend,Ami Eidels
Publisher : Oxford University Press
Page : 528 pages
File Size : 44,8 Mb
Release : 2015-03-20
Category : Psychology
ISBN : 9780199958009

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The Oxford Handbook of Computational and Mathematical Psychology by Jerome R. Busemeyer,Zheng Wang,James T. Townsend,Ami Eidels Pdf

This Oxford Handbook offers a comprehensive and authoritative review of important developments in computational and mathematical psychology. With chapters written by leading scientists across a variety of subdisciplines, it examines the field's influence on related research areas such as cognitive psychology, developmental psychology, clinical psychology, and neuroscience. The Handbook emphasizes examples and applications of the latest research, and will appeal to readers possessing various levels of modeling experience. The Oxford Handbook of Computational and mathematical Psychology covers the key developments in elementary cognitive mechanisms (signal detection, information processing, reinforcement learning), basic cognitive skills (perceptual judgment, categorization, episodic memory), higher-level cognition (Bayesian cognition, decision making, semantic memory, shape perception), modeling tools (Bayesian estimation and other new model comparison methods), and emerging new directions in computation and mathematical psychology (neurocognitive modeling, applications to clinical psychology, quantum cognition). The Handbook would make an ideal graduate-level textbook for courses in computational and mathematical psychology. Readers ranging from advanced undergraduates to experienced faculty members and researchers in virtually any area of psychology--including cognitive science and related social and behavioral sciences such as consumer behavior and communication--will find the text useful.

Parsing Psychology: Statistical and Computational Methods using Physiological, Behavioral, Social, and Cognitive Data

Author : Pietro Cipresso,Jason C. Immekus
Publisher : Frontiers Media SA
Page : 218 pages
File Size : 45,5 Mb
Release : 2020-02-14
Category : Electronic
ISBN : 9782889633692

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Parsing Psychology: Statistical and Computational Methods using Physiological, Behavioral, Social, and Cognitive Data by Pietro Cipresso,Jason C. Immekus Pdf

This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.

Computational Social Science

Author : Dan Dobrota,Roshan Chitrakar,Maria Ciurea,Liliana Mâţă,Wei Luo
Publisher : Taylor & Francis
Page : 304 pages
File Size : 51,6 Mb
Release : 2022-07-01
Category : Business & Economics
ISBN : 9781000628623

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Computational Social Science by Dan Dobrota,Roshan Chitrakar,Maria Ciurea,Liliana Mâţă,Wei Luo Pdf

The proceedings publish selected papers from the 2nd International Conference on New Computational Social Science, focusing on the following five aspects: Big data acquisition and analysis, Integration of qualitative research and quantitative research, Sociological Internet experiment research, Application of ABM simulation method in Sociology Research, Research and development of new social computing tools. With the rapid development of information technology, especially sweeping progress in the Internet of things, cloud computing, social networks, social media and big data, social computing, as a data-intensive science, is an emerging field that leverages the capacity to collect and analyze data with an unprecedented breadth, depth and scale. It represents a new computing paradigm and an interdisciplinary field of research and application. A broad comprehension of major topics involved in social computing is important for both scholars and practitioners. This proceedings presents and discusses key concepts and analyzes the state-of-the-art of the field. The conference not only gave insights on social computing, but also affords conduit for future research in the field. Social computing has two distinct trends: One is on the social science issues, such as computational social science, computational sociology, social network analysis, etc; the other is on the use of computational techniques. Finally, some new challenges ahead are summarized, including interdisciplinary cooperation and training, big data sharing for scientific data mashups, and privacy protect.

Handbook of Computational Social Science for Policy

Author : Eleonora Bertoni,Matteo Fontana,Lorenzo Gabrielli,Serena Signorelli,Michele Vespe
Publisher : Springer Nature
Page : 497 pages
File Size : 54,5 Mb
Release : 2023-01-23
Category : Computers
ISBN : 9783031166242

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Handbook of Computational Social Science for Policy by Eleonora Bertoni,Matteo Fontana,Lorenzo Gabrielli,Serena Signorelli,Michele Vespe Pdf

This open access handbook describes foundational issues, methodological approaches and examples on how to analyse and model data using Computational Social Science (CSS) for policy support. Up to now, CSS studies have mostly developed on a small, proof-of concept, scale that prevented from unleashing its potential to provide systematic impact to the policy cycle, as well as from improving the understanding of societal problems to the definition, assessment, evaluation, and monitoring of policies. The aim of this handbook is to fill this gap by exploring ways to analyse and model data for policy support, and to advocate the adoption of CSS solutions for policy by raising awareness of existing implementations of CSS in policy-relevant fields. To this end, the book explores applications of computational methods and approaches like big data, machine learning, statistical learning, sentiment analysis, text mining, systems modelling, and network analysis to different problems in the social sciences. The book is structured into three Parts: the first chapters on foundational issues open with an exposition and description of key policymaking areas where CSS can provide insights and information. In detail, the chapters cover public policy, governance, data justice and other ethical issues. Part two consists of chapters on methodological aspects dealing with issues such as the modelling of complexity, natural language processing, validity and lack of data, and innovation in official statistics. Finally, Part three describes the application of computational methods, challenges and opportunities in various social science areas, including economics, sociology, demography, migration, climate change, epidemiology, geography, and disaster management. The target audience of the book spans from the scientific community engaged in CSS research to policymakers interested in evidence-informed policy interventions, but also includes private companies holding data that can be used to study social sciences and are interested in achieving a policy impact.

Computational Developmental Psychology

Author : Thomas R. Shultz
Publisher : MIT Press
Page : 356 pages
File Size : 45,7 Mb
Release : 2003
Category : Psychology
ISBN : 026219483X

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Computational Developmental Psychology by Thomas R. Shultz Pdf

An overview of the emerging discipline of computational developmental psychology, emphasizing the use of constructivist neural networks. Despite decades of scientific research, the core issues of child development remain too complex to be explained by traditional verbal theories. These issues include structure and transition, representation and processing, innate and experiential determinants of development, stages of development, the purpose and end of development, and the relation between knowledge and learning. In this book Thomas Shultz shows how computational modeling can be used to capture these complex phenomena, and in so doing he lays the foundation for a new subfield of developmental psychology, computational developmental psychology. A principal approach in developmental thinking is the constructivist one. Constructivism is the Piagetian view that the child builds new cognitive structures by using current mental structures to understand new events. In this book Shultz features constructivist models employing networks that grow as well as learn. This allows models to implement synaptogenesis and neurogenesis in a way that allows qualitative changes in processing mechanisms. The book's appendices provide additional background on the mathematical concepts used, and a companion Web site contains easy-to-use computational packages.

Behavioral Computational Social Science

Author : Riccardo Boero
Publisher : John Wiley & Sons
Page : 200 pages
File Size : 55,5 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