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Computational Social Psychology

Computational Social Psychology PDF Author: Robin R. Vallacher
Publisher: Routledge
ISBN: 1351701673
Category : Psychology
Languages : en
Pages : 694
Book Description
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.

Computational Social Psychology

Computational Social Psychology PDF Author: Robin R. Vallacher
Publisher: Routledge
ISBN: 1351701673
Category : Psychology
Languages : en
Pages : 694
Book Description
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.

Computational Social Psychology

Computational Social Psychology PDF Author: Robin R. Vallacher
Publisher: Routledge
ISBN: 1351701681
Category : Psychology
Languages : en
Pages : 382
Book Description
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.

Computational Social Science

Computational Social Science PDF Author: Wei Luo
Publisher: CRC Press
ISBN: 1000389545
Category : Mathematics
Languages : en
Pages : 1042
Book Description
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.

Advanced Social Psychology

Advanced Social Psychology PDF Author: Eli J. Finkel
Publisher: Oxford University Press
ISBN: 0190635606
Category : Psychology
Languages : en
Pages : 576
Book Description
Social psychology uses clever, even ingenious, research methods to explore the most essential questions of the human psyche: Why do we help some people and harm others? Why do we pay so much more attention to high-powered people than they pay to us? If humans evolved from great apes, why are human selves so much more elaborate? How does our attachment to our parents when we are infants influence the success or failure of our romantic relationships when we are adults? Can behaving morally "license" us to behave immorally shortly afterward? How do social relationships make us more versus less prone toward physical illness? This volume -- an update to the original, 2010 edition -- provides a graduate-level introduction to social psychology. The target audience consists of first-year graduate students (MA or PhD) in social psychology and related disciplines (marketing, organizational behavior, etc.), although it is also appropriate for upper-level undergraduate courses. The authors are world-renowned leaders on their topic, and they have written state-of-the-art overviews of the discipline's major research domains. The chapters are not only scientifically rigorous, but also accessible and engaging. They convey the joy, excitement, and promise of scientific investigations into human sociality.

Computational Social Science

Computational Social Science PDF Author: Dan Dobrota
Publisher: Taylor & Francis
ISBN: 1000628620
Category : Business & Economics
Languages : en
Pages : 304
Book Description
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

Handbook of Computational Social Science for Policy PDF Author: Eleonora Bertoni
Publisher: Springer Nature
ISBN: 3031166248
Category : Computers
Languages : en
Pages : 497
Book Description
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.

Dynamical Social Psychology

Dynamical Social Psychology PDF Author: Andrzej Nowak
Publisher: Guilford Press
ISBN: 9781572303539
Category : Psychology
Languages : en
Pages : 338
Book Description
Traditional approaches to social psychology have proven highly successful in identifying causal mechanisms underlying human thought and behavior. With the recent advent of the dynamical approach, it is now possible to assemble sets of such mechanisms into coherent systems. This book uses innovative concepts and tools to illuminate the processes by which individuals, groups, and societies evolve and change in a systemic, self-sustaining manner, at times seemingly independent of external influences. Readers learn how the dynamical approach facilitates novel predictions and insights into such social psychological phenomena as attitudes, social judgment, goal-directed behavior, attraction, and relationships. Featuring a wealth of charts and figures derived from original research and computer simulations, the volume is grounded in classic and contemporary theories of social psychology.

The Dynamic Perspective in Personality and Social Psychology

The Dynamic Perspective in Personality and Social Psychology PDF Author: Robin R. Vallacher
Publisher: Psychology Press
ISBN: 1135589704
Category : Psychology
Languages : en
Pages : 128
Book Description
Recent years have witnessed the ascendance of a new way to conceptualize and investigate the nature of dynamism at different levels of psychological reality. Areas of inquiry as diverse as cognitive neuroscience, developmental psychology, organizational behavior, and political sociology are being reframed in terms that allow rigorous and precise insight into basic dynamic processes. There are signs that this new approach to dynamics is emerging as a potentially integrative paradigm for personality and social psychology as well. This special issue highlights this new paradigm and illustrates its relevance to a broad spectrum of topics in personality and social psychology.

Pathways Between Social Science and Computational Social Science

Pathways Between Social Science and Computational Social Science PDF Author: Tamás Rudas
Publisher: Springer Nature
ISBN: 3030549364
Category : Social Science
Languages : en
Pages : 275
Book Description
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.

Handbook of Computational Social Science, Volume 2

Handbook of Computational Social Science, Volume 2 PDF Author: Uwe Engel
Publisher: Taylor & Francis
ISBN: 1000448592
Category : Computers
Languages : en
Pages : 434
Book Description
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 second volume focuses on foundations and advances in data science, statistical modeling, and machine learning. It covers a range of key issues, including the management of big data in terms of record linkage, streaming, and missing data. Machine learning, agent-based and statistical modeling, as well as data quality in relation to digital trace and textual data, as well as probability, non-probability, and crowdsourced samples represent further foci. 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.