Advances In Computational Social Science

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Pathways Between Social Science and Computational Social Science

Tamás Rudas,Gábor Péli
Pathways Between Social Science and Computational Social Science Book PDF

Author : Tamás Rudas,Gábor Péli
Publisher : Springer Nature
Page : 284 pages
File Size : 50,9 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.

Handbook of Computational Social Science, Volume 1

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

Author : Uwe Engel,Anabel Quan-Haase,Sunny Liu,Lars E Lyberg
Publisher : Taylor & Francis
Page : 417 pages
File Size : 51,5 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 Social Science and Complex Systems

J. Kertész,R.N. Mantegna,S. Miccichè
Computational Social Science and Complex Systems Book PDF

Author : J. Kertész,R.N. Mantegna,S. Miccichè
Publisher : IOS Press
Page : 212 pages
File Size : 42,6 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.

Handbook of Computational Social Science, Volume 2

Uwe Engel,Anabel Quan-Haase,Sunny Xun Liu,Lars Lyberg
Handbook of Computational Social Science Volume 2 Book PDF

Author : Uwe Engel,Anabel Quan-Haase,Sunny Xun Liu,Lars Lyberg
Publisher : Taylor & Francis
Page : 434 pages
File Size : 40,7 Mb
Release : 2021-11-10
Category : Computers
ISBN : 9781000448597

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Handbook of Computational Social Science, Volume 2 by Uwe Engel,Anabel Quan-Haase,Sunny Xun Liu,Lars 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 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.

HANDBOOK of COMPUTATIONAL SOCIAL SCIENCE - VOL 1 and VOL 2

Taylor & Francis Group
HANDBOOK of COMPUTATIONAL SOCIAL SCIENCE VOL 1 and VOL 2 Book PDF

Author : Taylor & Francis Group
Publisher : Routledge
Page : 848 pages
File Size : 51,7 Mb
Release : 2021-09-13
Category : Electronic
ISBN : 1032111399

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HANDBOOK of COMPUTATIONAL SOCIAL SCIENCE - VOL 1 and VOL 2 by Taylor & Francis Group 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. The 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. The 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.

Introduction to Computational Social Science

Claudio Cioffi-Revilla
Introduction to Computational Social Science Book PDF

Author : Claudio Cioffi-Revilla
Publisher : Springer
Page : 636 pages
File Size : 52,7 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

R. Michael Alvarez
Computational Social Science Book PDF

Author : R. Michael Alvarez
Publisher : Cambridge University Press
Page : 128 pages
File Size : 51,5 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.

Advances in Computational Social Science

Shu-Heng Chen,Takao Terano,Ryuichi Yamamoto,Chung-Ching Tai
Advances in Computational Social Science Book PDF

Author : Shu-Heng Chen,Takao Terano,Ryuichi Yamamoto,Chung-Ching Tai
Publisher : Springer
Page : 365 pages
File Size : 41,5 Mb
Release : 2014-05-22
Category : Business & Economics
ISBN : 9784431548478

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Advances in Computational Social Science by Shu-Heng Chen,Takao Terano,Ryuichi Yamamoto,Chung-Ching Tai Pdf

This volume is a post-conference publication of the 4th World Congress on Social Simulation (WCSS), with contents selected from among the 80 papers originally presented at the conference. WCSS is a biennial event, jointly organized by three scientific communities in computational social science, namely, the Pacific-Asian Association for Agent-Based Approach in Social Systems Sciences (PAAA), the European Social Simulation Association (ESSA), and the Computational Social Science Society of the Americas (CSSSA). It is, therefore, currently the most prominent conference in the area of agent-based social simulation. The papers selected for this volume give a holistic view of the current development of social simulation, indicating the directions for future research and creating an important archival document and milestone in the history of computational social science. Specifically, the papers included here cover substantial progress in artificial financial markets, macroeconomic forecasting, supply chain management, bank networks, social networks, urban planning, social norms and group formation, cross-cultural studies, political party competition, voting behavior, computational demography, computational anthropology, evolution of languages, public health and epidemics, AIDS, security and terrorism, methodological and epistemological issues, empirical-based agent-based modeling, modeling of experimental social science, gaming simulation, cognitive agents, and participatory simulation. Furthermore, pioneering studies in some new research areas, such as the theoretical foundations of social simulation and categorical social science, also are included in the volume.

Opportunities and Challenges for Computational Social Science Methods

Abanoz, Enes
Opportunities and Challenges for Computational Social Science Methods Book PDF

Author : Abanoz, Enes
Publisher : IGI Global
Page : 277 pages
File Size : 51,6 Mb
Release : 2022-03-18
Category : Social Science
ISBN : 9781799885559

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Opportunities and Challenges for Computational Social Science Methods by Abanoz, Enes Pdf

We are living in a digital era in which most of our daily activities take place online. This has created a big data phenomenon that has been subject to scientific research with increasingly available tools and processing power. As a result, a growing number of social science scholars are using computational methods for analyzing social behavior. To further the area, these evolving methods must be made known to sociological research scholars. Opportunities and Challenges for Computational Social Science Methods focuses on the implementation of social science methods and the opportunities and challenges of these methods. This book sheds light on the infrastructure that should be built to gain required skillsets, the tools used in computational social sciences, and the methods developed and applied into computational social sciences. Covering topics like computational communication, ecological cognition, and natural language processing, this book is an essential resource for researchers, data scientists, scholars, students, professors, sociologists, and academicians.

Computational Social Science

Xiaogang Wu,Yongjun Zhang,Tianji Cai
Computational Social Science Book PDF

Author : Xiaogang Wu,Yongjun Zhang,Tianji Cai
Publisher : Taylor & Francis
Page : 193 pages
File Size : 51,5 Mb
Release : 2024-06-07
Category : Social Science
ISBN : 9781040036617

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Computational Social Science by Xiaogang Wu,Yongjun Zhang,Tianji Cai Pdf

This edited collection provides an overview of the recent developments in computational social science related to China studies and presents interdisciplinary empirical work from diverse scholars on culture, public opinion, and education using advanced computational methods and big data. The topics covered in this book include the surge of anti-China sentiment amid the COVID-19 pandemic, the nuances of E-governance, public opinion, authoritarian reactions, artistic innovation, and educational inequality. The chapters in this book provide important insights into how computational social science can be applied generally, but also underscore the importance of combining conventional sociological research with contemporary computational methods in the context of China studies. This cutting-edge volume will be valuable resource for researchers, scholars and practitioners of Sociology, China Studies and for those interested in computational approaches to the social sciences. The chapters in this book were originally published in Chinese Sociological Review.

Frontiers of Engineering

National Academy of Engineering
Frontiers of Engineering Book PDF

Author : National Academy of Engineering
Publisher : National Academies Press
Page : 202 pages
File Size : 52,6 Mb
Release : 2007-03-08
Category : Computers
ISBN : 9780309103398

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Frontiers of Engineering by National Academy of Engineering Pdf

This volume includes 15 papers from the National Academy of Engineering's 2006 U.S. Frontiers of Engineering (USFOE) Symposium held in September 2006. USFOE meetings bring together 100 outstanding engineers (ages 30 to 45) to exchange information about leading-edge technologies in a range of engineering fields. The 2006 symposium covered four topic areas: intelligent software systems and machines, the nano/bio interface, engineering personal mobility for the 21st century, and supply chain management. A paper by dinner speaker Dr. W. Dale Compton, Lillian M. Gilbreth Distinguished Professor of Industrial Engineering, Emeritus, is also included. The papers describe leading-edge research on commercializing auditory neuroscience, future developments in bionanotechnology, sustainable urban transportation, and managing disruptions to supply chains, among other topics. Appendixes include information about contributors, the symposium program, and a list of meeting participants. This is the twelfth volume in the USFOE series.

Doing Computational Social Science

John McLevey
Doing Computational Social Science Book PDF

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.

Social Simulation for a Digital Society

Diane Payne,Johan A. Elkink,Nial Friel,Thomas U. Grund,Tamara Hochstrasser,Pablo Lucas,Adrian Ottewill
Social Simulation for a Digital Society Book PDF

Author : Diane Payne,Johan A. Elkink,Nial Friel,Thomas U. Grund,Tamara Hochstrasser,Pablo Lucas,Adrian Ottewill
Publisher : Springer Nature
Page : 216 pages
File Size : 40,6 Mb
Release : 2019-11-18
Category : Science
ISBN : 9783030302986

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Social Simulation for a Digital Society by Diane Payne,Johan A. Elkink,Nial Friel,Thomas U. Grund,Tamara Hochstrasser,Pablo Lucas,Adrian Ottewill Pdf

“Social Simulation for a Digital Society” provides a cross-section of state-of-the-art research in social simulation and computational social science. With the availability of big data and faster computing power, the social sciences are undergoing a tremendous transformation. Research in computational social sciences has received considerable attention in the last few years, with advances in a wide range of methodologies and applications. Areas of application of computational methods range from the study of opinion and information dynamics in social networks, the formal modeling of resource use, the study of social conflict and cooperation to the development of cognitive models for social simulation and many more. This volume is based on the Social Simulation Conference of 2017 in Dublin and includes applications from across the social sciences, providing the reader with a demonstration of the highly versatile research in social simulation, with a particular focus on public policy relevance in a digital society. Chapters in the book include contributions to the methodology of simulation-based research, theoretical and philosophical considerations, as well as applied work. This book will appeal to students and researchers in the field.

Big Data in Computational Social Science and Humanities

Shu-Heng Chen
Big Data in Computational Social Science and Humanities Book PDF

Author : Shu-Heng Chen
Publisher : Springer
Page : 388 pages
File Size : 42,7 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 Psychology

Robin R. Vallacher,Stephen J. Read,Andrzej Nowak
Computational Social Psychology Book PDF

Author : Robin R. Vallacher,Stephen J. Read,Andrzej Nowak
Publisher : Routledge
Page : 694 pages
File Size : 50,6 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.