Computational Social Science

Computational Social Science

Author: Wei Luo

Publisher: CRC Press

Published: 2021-02-18

Total Pages: 1044

ISBN-13: 1000389502

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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.


Concepts and Categories

Concepts and Categories

Author: Michael T. Hannan

Publisher: Columbia University Press

Published: 2019-08-13

Total Pages: 334

ISBN-13: 0231549938

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Why do people like books, music, or movies that adhere consistently to genre conventions? Why is it hard for politicians to take positions that cross ideological boundaries? Why do we have dramatically different expectations of companies that are categorized as social media platforms as opposed to news media sites? The answers to these questions require an understanding of how people use basic concepts in their everyday lives to give meaning to objects, other people, and social situations and actions. In this book, a team of sociologists presents a groundbreaking model of concepts and categorization that can guide sociological and cultural analysis of a wide variety of social situations. Drawing on research in various fields, including cognitive science, computational linguistics, and psychology, the book develops an innovative view of concepts. It argues that concepts have meanings that are probabilistic rather than sharp, occupying fuzzy, overlapping positions in a “conceptual space.” Measurements of distances in this space reveal our mental representations of categories. Using this model, important yet commonplace phenomena such as our routine buying decisions can be quantified in terms of the cognitive distance between concepts. Concepts and Categories provides an essential set of formal theoretical tools and illustrates their application using an eclectic set of methodologies, from micro-level controlled experiments to macro-level language processing. It illuminates how explicit attention to concepts and categories can give us a new understanding of everyday situations and interactions.


Handbook of Computational Social Science, Volume 1

Handbook of Computational Social Science, Volume 1

Author: Uwe Engel

Publisher: Taylor & Francis

Published: 2021-11-10

Total Pages: 417

ISBN-13: 1000448584

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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.


Handbook of Sociological Science

Handbook of Sociological Science

Author: Gërxhani, Klarita

Publisher: Edward Elgar Publishing

Published: 2022-06-10

Total Pages: 553

ISBN-13: 1789909430

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22 out of the 26 Chapters will be available Open Access on Elgaronline when the book is published. The Handbook of Sociological Science offers a refreshing, integrated perspective on research programs and ongoing developments in sociological science. It highlights key shared theoretical and methodological features, thereby contributing to progress and cumulative growth of sociological knowledge.


Research Handbook on Analytical Sociology

Research Handbook on Analytical Sociology

Author: Manzo, Gianluca

Publisher: Edward Elgar Publishing

Published: 2021-12-14

Total Pages: 528

ISBN-13: 1789906857

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Providing an up-to-date portrait of the concepts and methods of analytical sociology, this pivotal Research Handbook traces the historical evolution of the field, utilising key research examples to illustrate its core principles. It investigates how analytical sociology engages with other approaches such as analytical philosophy, structural individualism, social stratification research, complexity science, pragmatism, and critical realism, exploring the foundations of the topic as well as its major explanatory mechanisms and methods.


Sociological Insights of Great Thinkers

Sociological Insights of Great Thinkers

Author: Christofer R. Edling

Publisher: Bloomsbury Publishing USA

Published: 2010-11-18

Total Pages: 381

ISBN-13: 0313384711

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In this book, leading sociologists expand the scope of their discipline by revealing the sociological aspects of the works of great philosophers, scientists, and writers. Sociologists have long recognized that sociological insight can be gleaned from creative thinkers outside their formal discipline. Sociological Insights of Great Thinkers: Sociology through Literature, Philosophy, and Science captures and examines those insights in 32 essays that discuss scholars and writers not normally associated with any sociological school of thought. Following a tradition of enriching the sociological toolkit by finding influence in philosophy and literature, the volume's contributors—an international group of renowned scholars—eschew biography to focus solely on sociological interpretations that can be drawn from the work of many of history's preeminent thinkers. Among the book's subjects are philosophers such as Aristotle, Plato, Kant, and Cassirer; scientists such as Darwin and Galileo; and authors such as Kafka, Proust, and Shakespeare. The essays not only allow readers to see such thinkers in a new light, but underscore the fact that sociological questions have lain at the very heart of humanity throughout history.


Handbook of Computational Social Science, Volume 2

Handbook of Computational Social Science, Volume 2

Author: Uwe Engel

Publisher: Taylor & Francis

Published: 2021-11-10

Total Pages: 434

ISBN-13: 1000448592

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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.


Pioneers of Sociological Science

Pioneers of Sociological Science

Author: John H. Goldthorpe

Publisher: Cambridge University Press

Published: 2021-02-18

Total Pages: 255

ISBN-13: 1108832156

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In this study of pioneers of the field, Goldthorpe explains how present-day sociological science developed from the seventeenth century onwards. It will appeal to students and scholars of sociology and to anyone engaged in social science research, from statisticians to social historians.