Visualization For Social Data Science

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Visualization For Social Data Science

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Author : Roger Beecham
language : en
Publisher: CRC Press
Release Date : 2025-09-05

Visualization For Social Data Science written by Roger Beecham and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-05 with Mathematics categories.

"This is an important book on an important topic. I particularly like the examples showing different visualizations of the same data and the parallel presentation of graphics and code. And I absolutely love the chapter on visual storytelling. I can't wait to use this book in my classes."- Andrew Gelman, Department of Statistics and Department of Political Science, Columbia University, New York "A book that gives learners the inspiration, knowledge and worked examples to create cutting edge visualisations of their own."- James Chesire, Professor of Geographic Information and Cartography, University College London Visualization for Social Data Science provides end-to-end skills in visual data analysis. The book demonstrates how data graphics and modern statistics can be used in tandem to process, explore, model and communicate data-driven social science. It is packed with detailed data analysis examples, pushing you to do visual data analysis. As well as introducing, and demonstrating with code, a wide range of data visualizations for exploring patterns in data, Visualization for Social Data Science shows how models can be integrated with graphics to emphasise important structure and de-emphasise spurious structure and the role of data graphics in scientific communication -- in building trust and integrity. Many of the book’s influences are from data journalism, as well as information visualization and cartography. Each chapter introduces statistical and graphical ideas for analysis, underpinned by real social science datasets. Those ideas are then implemented via principled, step-by-step, workflows in the programming environment R. Key features include: • Extensive real-world data sets and data analysis scenarios in Geography, Public Health, Transportation, Political Science; • Code examples fully-integrated into main text, with code that builds in complexity and sophistication; • Quarto template files for each chapter to support literate programming practices; • Functional programming examples, using tidyverse, for generating empirical statistics (bootstrap resamples, permutation tests) and working programmatically over model outputs; • Unusual but important programming tricks for generating sophisticated data graphics such as network visualizations, dot-density maps, OD maps, glyphmaps, icon arrays, hypothetical outcome plots and graphical line-ups plots. Every data graphic in the book is implemented via ggplot2. • Chapters on uncertainty visualization and data storytelling that are uniquely accompanied with detailed, worked examples.

Visualization For Social Data Science

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Author : Roger Beecham
language : en
Publisher: CRC Press
Release Date : 2025-07-15

Visualization For Social Data Science written by Roger Beecham and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-15 with Computers categories.

The book provides end-to-end skills in visual data analysis. It demonstrates how data graphics and modern statistics can be used in tandem to process, explore, model and communicate data-driven social science. It is packed with detailed data analysis examples, pushing you to do visual data analysis.

Data Visualization For Social And Policy Research

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Author : Jose Manuel Magallanes Reyes
language : en
Publisher: Cambridge University Press
Release Date : 2022-04-07

Data Visualization For Social And Policy Research written by Jose Manuel Magallanes Reyes and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-07 with Computers categories.

Teaches creative, effective visualization techniques for tables, time series, maps, text, and networks for beginners in R and Python.

Social Data Analytics In The Cloud With Ai

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Author : Xuebin Wei
language : en
Publisher: CRC Press
Release Date : 2024-12-30

Social Data Analytics In The Cloud With Ai written by Xuebin Wei and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-30 with Technology & Engineering categories.

The rise of cloud computing and Generative artificial intelligence (AI) has revolutionized data analytics pipelines. Analysts can collect, store, and process vast datasets in the cloud with high availability and scalability, and also leverage Generative AI to query and visualize datasets in natural languages. This pioneering textbook provides a gateway for students, educators, and professionals to develop and enhance social data analytics capabilities with the latest cloud computing and AI technologies. The textbook introduces educational cloud resources from leading technology companies, begins with foundational concepts, and progresses to advanced techniques. Features The first textbook on cloud-based social data analytics with the assistance of Generative AI. Introduces educational cloud resources from leading technology companies like AWS, GitHub, and MongoDB. Presents a fully AI-powered data analytics pipeline from Python coding to data collection with APIs, cloud-based data storage, natural language queries, and interactive visualization. Analyzes Census and social media data with the latest large language models (LLMs). Provides hands-on exercises with real-world datasets on timely issues. This textbook is an excellent resource for upper-level undergraduate and graduate students taking GIS, Urban Informatics, Social Science Data Analysis, and Data Science courses; faculty members teaching such courses; and professionals and researchers interested in leveraging cloud computing and Generative AI in social data analytics.

Social Data Analytics

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Author : Amin Beheshti
language : en
Publisher: CRC Press
Release Date : 2022-08-01

Social Data Analytics written by Amin Beheshti and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-01 with Business & Economics categories.

This book is an introduction to social data analytics along with its challenges and opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on concepts, techniques and methods for organizing, curating, processing, analyzing, and visualizing big social data: from text to image and video analytics. It provides novel techniques in storytelling with social data to facilitate the knowledge and fact discovery. The book covers a large body of knowledge that will help practitioners and researchers in understanding the underlying concepts, problems, methods, tools and techniques involved in modern social data analytics. It also provides real-world applications of social data analytics, including: Sales and Marketing, Influence Maximization, Situational Awareness, customer success and Segmentation, and performance analysis of the industry. It provides a deep knowledge in social data analytics by comprehensively classifying the current state of research, by describing in-depth techniques and methods, and by highlighting future research directions. Lecturers will find a wealth of material to choose from for a variety of courses, ranging from undergraduate courses in data science to graduate courses in data analytics.

Social Data Science Xennials

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Author : Gian Marco Campagnolo
language : en
Publisher: Springer Nature
Release Date : 2020-11-30

Social Data Science Xennials written by Gian Marco Campagnolo and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-30 with Social Science categories.

This book explores the tension between analogue and digital as part of an evolving research programme and focuses on the sequencing of methods within it. The book will be an invaluable reference for scholars who routinely engage in critical sociological analysis of the digital workplace and find it easier to treat the digital as an object of study. It describes how the transformations taking place in the 10-year arc of a career spent doing fieldwork in the IT sector led the author to progressively embrace new forms of data and methods. In a time where sociological imagination takes the shape of whatever new phenomenon can be studied by transactional data and machine learning methods, it is a reminder that longstanding engagement with a particular field of practice is the basis of empirical social science expertise. ‘This short book by Gian Marco Campagnolo is remarkably wide-ranging. It draws on theoretical perspectives as varied as Harold Garfinkel’s ethnomethodology and Andrew Abbott’s ‘linked ecologies’ to discuss topics as diverse as the adoption of packaged enterprise software in the public sector in Italy and the careers of often influential industry analysts. Campagnolo’s methods are primarily qualitative and ethnographic, but he shows a proper appreciation for quantitative methods such as text mining and sequence analysis. The book ends with a discussion of the famously difficult issue of achieving ‘explainability’ in machine learning. Campagnolo tantalisingly suggests the usefulness here of how ethnomethodologists view ‘accountability’: as a practical accomplishment that is hampered, rather than fostered, by efforts to give full explanations.’ —Donald MacKenzie, Professor of Sociology, Edinburgh University, Scotland ‘The author adopts a ‘processual’ perspective on social data science as means of exploring and reflecting on the emergence of an academic career within this new domain of interdisciplinary inquiry. This is certainly a novel and interesting approach given the fact that ‘data science’ is work in progress and is characterized by a number of competing occupational groups that are struggling to define this emerging field.’ —William Housley, Professor, University of Cardiff, UK ‘Having myself written about the relationships between ethnography and computer science, I see this book as a timely contribution in that it extends the existing debate to data science. Data science is an emerging discipline that is gaining central stage in industry and in the public discourse. The aim of this book to indicate the importance of interdisciplinarity in this field is commendable.’ —Giolo Fele, Professor, University of Trento, Italy 'This book provides two entwined accounts: a reflective personal journey across different projects and methods and a grounded, genealogically sound analysis of the approaches and contributions of social science to understanding the digital society. These dual accounts are adroitly communicated. Their bold combination yields a unique and invaluable contribution to fundamental discussions in the social sciences, as well as an exemplar for how to combine ethnographic and data-driven analysis in a theoretically and epistemologically informed manner. With this book, Campagnolo brings us close to the methods and opens up an inspiring and challenging agenda for combining old and new forms of inquiry into sociological problems.' —Anne Beaulieu, Director Data Research Centre, University of Groningen, Netherlands

Big Data And Social Sciences Harnessing Databases For Political And Social Change

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Author : Edenilson Brandl
language : en
Publisher: Edenilson Brandl
Release Date :

Big Data And Social Sciences Harnessing Databases For Political And Social Change written by Edenilson Brandl and has been published by Edenilson Brandl this book supported file pdf, txt, epub, kindle and other format this book has been release on with Social Science categories.

The evolving landscape of social sciences has been profoundly transformed by the advent of big data and advanced computational methodologies. This text aims to bridge the gap between raw data abundance and meaningful social insight, underscoring the potential to harness data-driven approaches for understanding and influencing political and social dynamics. Central to this work is the recognition that traditional qualitative and quantitative methods, while foundational, are no longer sufficient to grapple with the scale, complexity, and velocity of contemporary social phenomena. The integration of big data analytics empowers researchers to analyze multilayered social interactions in unprecedented detail. This volume is designed to serve as a comprehensive resource for scholars, policymakers, and practitioners engaged in the intersection of data science and social inquiry. It advocates for a rigorous yet ethically grounded approach to data utilization, emphasizing methodological innovation balanced with social responsibility. The chapters herein address a broad spectrum of themes, from technical frameworks and analytic tools to applied case studies and ethical considerations, providing a multidimensional perspective on the possibilities and pitfalls inherent in big data applications within social contexts. In producing this work, attention was paid to fostering interdisciplinary dialogue, drawing upon insights from political science, sociology, computer science, and data ethics. It is through this synthesis that the book hopes to contribute to the emerging paradigm of computational social science. Ultimately, the goal is to equip readers with the conceptual frameworks and practical knowledge necessary to leverage big data in ways that promote equitable social change, enhance governance, and deepen the understanding of collective human behavior in an increasingly digitized world.

Visualizing Social Science Research

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Author : Johannes Wheeldon
language : en
Publisher: SAGE Publications
Release Date : 2011-07-12

Visualizing Social Science Research written by Johannes Wheeldon and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-12 with Social Science categories.

This introductory text presents basic principles of social science research through maps, graphs, and diagrams. The authors show how concept maps and mind maps can be used in quantitative, qualitative, and mixed methods research, using student-friendly examples and classroom-based activities. Integrating theory and practice, chapters show how to use these tools to plan research projects, "see" analysis strategies, and assist in the development and writing of research reports.

The Future Of Scientific Knowledge Discovery In Open Networked Environments

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Author : National Research Council
language : en
Publisher: National Academies Press
Release Date : 2013-01-13

The Future Of Scientific Knowledge Discovery In Open Networked Environments written by National Research Council and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-13 with Science categories.

Digital technologies and networks are now part of everyday work in the sciences, and have enhanced access to and use of scientific data, information, and literature significantly. They offer the promise of accelerating the discovery and communication of knowledge, both within the scientific community and in the broader society, as scientific data and information are made openly available online. The focus of this project was on computer-mediated or computational scientific knowledge discovery, taken broadly as any research processes enabled by digital computing technologies. Such technologies may include data mining, information retrieval and extraction, artificial intelligence, distributed grid computing, and others. These technological capabilities support computer-mediated knowledge discovery, which some believe is a new paradigm in the conduct of research. The emphasis was primarily on digitally networked data, rather than on the scientific, technical, and medical literature. The meeting also focused mostly on the advantages of knowledge discovery in open networked environments, although some of the disadvantages were raised as well. The workshop brought together a set of stakeholders in this area for intensive and structured discussions. The purpose was not to make a final declaration about the directions that should be taken, but to further the examination of trends in computational knowledge discovery in the open networked environments, based on the following questions and tasks: 1. Opportunities and Benefits: What are the opportunities over the next 5 to 10 years associated with the use of computer-mediated scientific knowledge discovery across disciplines in the open online environment? What are the potential benefits to science and society of such techniques? 2. Techniques and Methods for Development and Study of Computer-mediated Scientific Knowledge Discovery: What are the techniques and methods used in government, academia, and industry to study and understand these processes, the validity and reliability of their results, and their impact inside and outside science? 3. Barriers: What are the major scientific, technological, institutional, sociological, and policy barriers to computer-mediated scientific knowledge discovery in the open online environment within the scientific community? What needs to be known and studied about each of these barriers to help achieve the opportunities for interdisciplinary science and complex problem solving? 4. Range of Options: Based on the results obtained in response to items 1-3, define a range of options that can be used by the sponsors of the project, as well as other similar organizations, to obtain and promote a better understanding of the computer-mediated scientific knowledge discovery processes and mechanisms for openly available data and information online across the scientific domains. The objective of defining these options is to improve the activities of the sponsors (and other similar organizations) and the activities of researchers that they fund externally in this emerging research area. The Future of Scientific Knowledge Discovery in Open Networked Environments: Summary of a Workshop summarizes the responses to these questions and tasks at hand.

Handbook Of Graph Drawing And Visualization

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Author : Roberto Tamassia
language : en
Publisher: CRC Press
Release Date : 2013-08-19

Handbook Of Graph Drawing And Visualization written by Roberto Tamassia and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-19 with Mathematics categories.

Get an In-Depth Understanding of Graph Drawing Techniques, Algorithms, Software, and Applications The Handbook of Graph Drawing and Visualization provides a broad, up-to-date survey of the field of graph drawing. It covers topological and geometric foundations, algorithms, software systems, and visualization applications in business, education, science, and engineering. Each chapter is self-contained and includes extensive references. The first several chapters of the book deal with fundamental topological and geometric concepts and techniques used in graph drawing, such as planarity testing and embedding, crossings and planarization, symmetric drawings, and proximity drawings. The following chapters present a large collection of algorithms for constructing drawings of graphs, including tree, planar straight-line, planar orthogonal and polyline, spine and radial, circular, rectangular, hierarchical, and three-dimensional drawings as well as labeling algorithms, simultaneous embeddings, and force-directed methods. The book then introduces the GraphML language for representing graphs and their drawings and describes three software systems for constructing drawings of graphs: OGDF, GDToolkit, and PIGALE. The final chapters illustrate the use of graph drawing methods in visualization applications for biological networks, computer security, data analytics, education, computer networks, and social networks. Edited by a pioneer in graph drawing and with contributions from leaders in the graph drawing research community, this handbook shows how graph drawing and visualization can be applied in the physical, life, and social sciences. Whether you are a mathematics researcher, IT practitioner, or software developer, the book will help you understand graph drawing methods and graph visualization systems, use graph drawing techniques in your research, and incorporate graph drawing solutions in your products.