Sociological Foundations Of Computational Social Science
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Sociological Foundations Of Computational Social Science
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Author : Yoshimichi Sato
language : en
Publisher: Springer Nature
Release Date : 2024-03-23
Sociological Foundations Of Computational Social Science written by Yoshimichi Sato and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-23 with Social Science categories.
This book provides solid sociological foundations to computational social science (CSS). CSS is an emerging research field, and many books with those words in the title are on the market. However, CSS has not become mainstream in sociology, for which there are two reasons. First, CSS does not necessarily solve major research questions in sociology. Second, its sociological foundations are weak. These two reasons are interrelated—that is, CSS cannot solve major research questions because its sociological foundations are weak. Thus, even if it tries to solve those questions, its approaches seem to mainstream sociologists to miss the point. To resolve that shortcoming, this book fills the gap between CSS and sociology, shows that CSS can solve major research questions in sociology, and advances sociology by introducing to it theories and methodologies of CSS.
Computational Social Science
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Author : Wei Luo
language : en
Publisher: CRC Press
Release Date : 2021-02-18
Computational Social Science written by Wei Luo and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-18 with Computers categories.
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
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Author : Michael T. Hannan
language : en
Publisher: Columbia University Press
Release Date : 2019-08-13
Concepts And Categories written by Michael T. Hannan and has been published by Columbia University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-13 with Social Science categories.
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
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Author : Uwe Engel
language : en
Publisher: Taylor & Francis
Release Date : 2021-11-10
Handbook Of Computational Social Science Volume 1 written by Uwe Engel and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-10 with Computers categories.
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
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Author : Gërxhani, Klarita
language : en
Publisher: Edward Elgar Publishing
Release Date : 2022-06-10
Handbook Of Sociological Science written by Gërxhani, Klarita and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-10 with Social Science categories.
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
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Author : Manzo, Gianluca
language : en
Publisher: Edward Elgar Publishing
Release Date : 2021-12-14
Research Handbook On Analytical Sociology written by Manzo, Gianluca and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-14 with Social Science categories.
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.
Doing Computational Social Science
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Author : John McLevey
language : en
Publisher: SAGE
Release Date : 2021-12-15
Doing Computational Social Science written by John McLevey and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-15 with Business & Economics categories.
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.
Sociological Insights Of Great Thinkers
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Author : Christofer R. Edling
language : en
Publisher: Bloomsbury Publishing USA
Release Date : 2010-11-18
Sociological Insights Of Great Thinkers written by Christofer R. Edling and has been published by Bloomsbury Publishing USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-18 with Philosophy categories.
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
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Author : Uwe Engel
language : en
Publisher: Taylor & Francis
Release Date : 2021-11-10
Handbook Of Computational Social Science Volume 2 written by Uwe Engel and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-10 with Computers categories.
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.
The Pragmatics Of Governmental Discourse
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Author : Ayan-Yue Gupta
language : en
Publisher: Taylor & Francis
Release Date : 2024-08-02
The Pragmatics Of Governmental Discourse written by Ayan-Yue Gupta and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-02 with Social Science categories.
This book presents a novel methodological framework for analysing governmental discourse. It involves combining pragmatist perspectives on language with computational sociolinguistics and large language models (LLMs). The first half discusses traditional critical approaches to investigating discursive practices, principally those employing Critical Discourse Analysis (CDA) and those based on methods developed by Michel Foucault. These are critiqued in terms of pragmatist views on meaning, which are rarely taken up in this area. It is argued that to understand the grounding of social structures and power relations in discourse, we must begin with a systematic account of how meaning is contextually fixed. It is proposed that a pragmatist reading of Foucault’s arguments about governmentality offers a productive framework for discourse analysis. To illustrate the advantages of this framework, the book presents a case study of the British government’s adoption of resilience, sustainability, and wellbeing discourses in the period 2000-2020. A dataset of 179 million tokens sampled from approximately 170,000 government documents is used to illustrate how this framework can be combined with natural language processing (NLP) to make robust inferences. This study will be of interest to both sociologists interested in language and in the methodological potential of recent developments in NLP. Importantly, the book demonstrates how LLMs can be harnessed to bring new perspectives to long-standing sociological questions.