Opportunities And Challenges For Computational Social Science Methods

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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 : 49,5 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.

Handbook of Computational Social Science, Volume 1

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

Author : Uwe Engel,Anabel Quan-Haase,Sunny Xun Liu,Lars E Lyberg
Publisher : Routledge
Page : 388 pages
File Size : 51,9 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"--

Handbook of Computational Social Science for Policy

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

Author : Eleonora Bertoni,Matteo Fontana,Lorenzo Gabrielli,Serena Signorelli,Michele Vespe
Publisher : Springer Nature
Page : 497 pages
File Size : 42,8 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 Social Science

R. Michael Alvarez
Computational Social Science Book PDF

Author : R. Michael Alvarez
Publisher : Cambridge University Press
Page : 128 pages
File Size : 54,6 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.

Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining

Nitin Agarwal,Nima Dokoohaki,Serpil Tokdemir
Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining Book PDF

Author : Nitin Agarwal,Nima Dokoohaki,Serpil Tokdemir
Publisher : Springer
Page : 278 pages
File Size : 51,6 Mb
Release : 2018-09-17
Category : Social Science
ISBN : 9783319941059

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Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining by Nitin Agarwal,Nima Dokoohaki,Serpil Tokdemir Pdf

The contributors in this book share, exchange, and develop new concepts, ideas, principles, and methodologies in order to advance and deepen our understanding of social networks in the new generation of Information and Communication Technologies (ICT) enabled by Web 2.0, also referred to as social media, to help policy-making. This interdisciplinary work provides a platform for researchers, practitioners, and graduate students from sociology, behavioral science, computer science, psychology, cultural studies, information systems, operations research and communication to share, exchange, learn, and develop new concepts, ideas, principles, and methodologies. Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining will be of interest to researchers, practitioners, and graduate students from the various disciplines listed above. The text facilitates the dissemination of investigations of the dynamics and structure of web based social networks. The book can be used as a reference text for advanced courses on Social Network Analysis, Sociology, Communication, Organization Theory, Cyber-anthropology, Cyber-diplomacy, and Information Technology and Justice.

Doing Computational Social Science

John McLevey
Doing Computational Social Science Book PDF

Author : John McLevey
Publisher : SAGE
Page : 556 pages
File Size : 44,5 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 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 : 48,9 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 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 : 40,9 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.

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 : 50,8 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.

At the Crossroads: Lessons and Challenges in Computational Social Science

Yamir Moreno,Javier Borge-Holthoefer,Taha Yasseri
At the Crossroads Lessons and Challenges in Computational Social Science Book PDF

Author : Yamir Moreno,Javier Borge-Holthoefer,Taha Yasseri
Publisher : Unknown
Page : 98 pages
File Size : 49,7 Mb
Release : 2016
Category : Physics
ISBN : OCLC:1135348859

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At the Crossroads: Lessons and Challenges in Computational Social Science by Yamir Moreno,Javier Borge-Holthoefer,Taha Yasseri Pdf

The interest of physicists in economic and social questions is not new: for over four decades, we have witnessed the emergence of what is called nowadays “sociophysics” and “econophysics”, vigorous and challenging areas within the wider “Interdisciplinary Physics”. With tools borrowed from Statistical Physics and Complexity, this new area of study have already made important contributions, which in turn have fostered the development of novel theoretical foundations in Social Science and Economics, via mathematical approaches, agent-based modelling and numerical simulations. From these foundations, Computational Social Science has grown to incorporate as well the empirical component --aided by the recent data deluge from the Web 2.0 and 3.0--, closing in this way the experiment-theory cycle in the best tradition of Physics.

Handbook of Computational Social Science, Volume 1

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

Author : Uwe Engel,Anabel Quan-Haase,Sunny Xun Liu,Lars E Lyberg
Publisher : Routledge
Page : 485 pages
File Size : 44,5 Mb
Release : 2021-11-10
Category : Computers
ISBN : 9781000448610

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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 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 Thinking and Social Science

Matti Nelimarkka
Computational Thinking and Social Science Book PDF

Author : Matti Nelimarkka
Publisher : SAGE
Page : 503 pages
File Size : 45,6 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 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 : 46,8 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.

Bit by Bit

Matthew J. Salganik
Bit by Bit Book PDF

Author : Matthew J. Salganik
Publisher : Princeton University Press
Page : 448 pages
File Size : 51,6 Mb
Release : 2019-08-06
Category : Computers
ISBN : 9780691196107

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Bit by Bit by Matthew J. Salganik Pdf

This essential guide to doing social research in this fast-evolving digital age explains how the digital revolution is transforming the way social scientists observe behavior, ask questions, run experiments, and engage in mass collaborations.

At the Crossroads: Lessons and Challenges in Computational Social Science

Javier Borge-Holthoefer,Yamir Moreno,Taha Yasseri
At the Crossroads Lessons and Challenges in Computational Social Science Book PDF

Author : Javier Borge-Holthoefer,Yamir Moreno,Taha Yasseri
Publisher : Frontiers Media SA
Page : 100 pages
File Size : 45,9 Mb
Release : 2016-11-29
Category : Electronic book
ISBN : 9782889450213

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At the Crossroads: Lessons and Challenges in Computational Social Science by Javier Borge-Holthoefer,Yamir Moreno,Taha Yasseri Pdf

The interest of physicists in economic and social questions is not new: for over four decades, we have witnessed the emergence of what is called nowadays “sociophysics” and “econophysics”, vigorous and challenging areas within the wider “Interdisciplinary Physics”. With tools borrowed from Statistical Physics and Complexity, this new area of study have already made important contributions, which in turn have fostered the development of novel theoretical foundations in Social Science and Economics, via mathematical approaches, agent-based modelling and numerical simulations. From these foundations, Computational Social Science has grown to incorporate as well the empirical component --aided by the recent data deluge from the Web 2.0 and 3.0--, closing in this way the experiment-theory cycle in the best tradition of Physics.