Introduction To Computational Social Science

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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 : 40,8 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.

Doing Computational Social Science

John McLevey
Doing Computational Social Science Book PDF

Author : John McLevey
Publisher : SAGE
Page : 556 pages
File Size : 47,6 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

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 : 49,8 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

R. Michael Alvarez
Computational Social Science Book PDF

Author : R. Michael Alvarez
Publisher : Cambridge University Press
Page : 128 pages
File Size : 55,9 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.

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 : 47,5 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 and Mathematical Modeling in the Social Sciences

Scott de Marchi
Computational and Mathematical Modeling in the Social Sciences Book PDF

Author : Scott de Marchi
Publisher : Cambridge University Press
Page : 232 pages
File Size : 48,5 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 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 : 53,7 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.

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 : 42,7 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.

Quantitative Social Science

Kosuke Imai,Lori D. Bougher
Quantitative Social Science Book PDF

Author : Kosuke Imai,Lori D. Bougher
Publisher : Princeton University Press
Page : 464 pages
File Size : 41,8 Mb
Release : 2021-03-16
Category : Political Science
ISBN : 9780691191096

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Quantitative Social Science by Kosuke Imai,Lori D. Bougher Pdf

"Princeton University Press published Imai's textbook, Quantitative Social Science: An Introduction, an introduction to quantitative methods and data science for upper level undergrads and graduates in professional programs, in February 2017. What is distinct about the book is how it leads students through a series of applied examples of statistical methods, drawing on real examples from social science research. The original book was prepared with the statistical software R, which is freely available online and has gained in popularity in recent years. But many existing courses in statistics and data sciences, particularly in some subject areas like sociology and law, use STATA, another general purpose package that has been the market leader since the 1980s. We've had several requests for STATA versions of the text as many programs use it by default. This is a "translation" of the original text, keeping all the current pedagogical text but inserting the necessary code and outputs from STATA in their place"--

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 : 44,6 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.

Computational Thinking and Social Science

Matti Nelimarkka
Computational Thinking and Social Science Book PDF

Author : Matti Nelimarkka
Publisher : SAGE
Page : 503 pages
File Size : 44,8 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.

Handbook of Computational Social Choice

Felix Brandt,Vincent Conitzer,Ulle Endriss,Jérôme Lang,Ariel D. Procaccia
Handbook of Computational Social Choice Book PDF

Author : Felix Brandt,Vincent Conitzer,Ulle Endriss,Jérôme Lang,Ariel D. Procaccia
Publisher : Cambridge University Press
Page : 553 pages
File Size : 52,8 Mb
Release : 2016-04-25
Category : Business & Economics
ISBN : 9781107060432

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Handbook of Computational Social Choice by Felix Brandt,Vincent Conitzer,Ulle Endriss,Jérôme Lang,Ariel D. Procaccia Pdf

A comprehensive survey of computational aspects of collective decisions for graduate students, researchers, and professionals in computer science and economics.

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 : 49,5 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.

Computational Social Science in the Age of Big Data

Martin Welker,Cathleen M. Stützer,Marc Egger
Computational Social Science in the Age of Big Data Book PDF

Author : Martin Welker,Cathleen M. Stützer,Marc Egger
Publisher : Herbert von Halem Verlag
Page : 462 pages
File Size : 43,6 Mb
Release : 2018-02-19
Category : Business & Economics
ISBN : 9783869622682

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Computational Social Science in the Age of Big Data by Martin Welker,Cathleen M. Stützer,Marc Egger Pdf

Der Sammelband Computational Social Science in the Age of Big Data beschäftigt sich mit Konzepten, Methoden, Tools und Anwendungen (automatisierter) datengetriebener Forschung mit sozialwissenschaftlichem Hintergrund. Der Fokus des Bandes liegt auf der Etablierung der Computational Social Science (CSS) als aufkommendes Forschungs- und Anwendungsfeld. Es werden Beiträge international namhafter Autoren präsentiert, die forschungs- und praxisrelevante Themen dieses Bereiches besprechen. Die Herausgeber forcieren dabei einen interdisziplinären Zugang zum Feld, der sowohl Online-Forschern aus der Wissenschaft wie auch aus der angewandten Marktforschung einen Einstieg bietet.

Economics and Computation

Jörg Rothe
Economics and Computation Book PDF

Author : Jörg Rothe
Publisher : Springer
Page : 612 pages
File Size : 41,7 Mb
Release : 2015-08-18
Category : Business & Economics
ISBN : 9783662479049

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Economics and Computation by Jörg Rothe Pdf

This textbook connects three vibrant areas at the interface between economics and computer science: algorithmic game theory, computational social choice, and fair division. It thus offers an interdisciplinary treatment of collective decision making from an economic and computational perspective. Part I introduces to algorithmic game theory, focusing on both noncooperative and cooperative game theory. Part II introduces to computational social choice, focusing on both preference aggregation (voting) and judgment aggregation. Part III introduces to fair division, focusing on the division of both a single divisible resource ("cake-cutting") and multiple indivisible and unshareable resources ("multiagent resource allocation"). In all these parts, much weight is given to the algorithmic and complexity-theoretic aspects of problems arising in these areas, and the interconnections between the three parts are of central interest.