Big Data and Social Science

2020-11-17
Big Data and Social Science

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  • Author: Ian Foster
  • Publisher: CRC Press
  • ISBN: 100020863X
  • Category : Mathematics
  • Languages : en
  • Pages : 320

Big Data and Social Science: Data Science Methods and Tools for Research and Practice, Second Edition shows how to apply data science to real-world problems, covering all stages of a data-intensive social science or policy project. Prominent leaders in the social sciences, statistics, and computer science as well as the field of data science provide a unique perspective on how to apply modern social science research principles and current analytical and computational tools. The text teaches you how to identify and collect appropriate data, apply data science methods and tools to the data, and recognize and respond to data errors, biases, and limitations. Features: Takes an accessible, hands-on approach to handling new types of data in the social sciences Presents the key data science tools in a non-intimidating way to both social and data scientists while keeping the focus on research questions and purposes Illustrates social science and data science principles through real-world problems Links computer science concepts to practical social science research Promotes good scientific practice Provides freely available workbooks with data, code, and practical programming exercises, through Binder and GitHub New to the Second Edition: Increased use of examples from different areas of social sciences New chapter on dealing with Bias and Fairness in Machine Learning models Expanded chapters focusing on Machine Learning and Text Analysis Revamped hands-on Jupyter notebooks to reinforce concepts covered in each chapter This classroom-tested book fills a major gap in graduate- and professional-level data science and social science education. It can be used to train a new generation of social data scientists to tackle real-world problems and improve the skills and competencies of applied social scientists and public policy practitioners. It empowers you to use the massive and rapidly growing amounts of available data to interpret economic and social activities in a scientific and rigorous manner.

Computational Social Science

2018
Computational Social Science

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  • Author: Andreas Blätte
  • Publisher:
  • ISBN: 9783845286556
  • Category : Big data
  • Languages : de
  • Pages : 0

Big Data in Computational Social Science and Humanities

2018-11-21
Big Data in Computational Social Science and Humanities

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  • Author: Shu-Heng Chen
  • Publisher: Springer
  • ISBN: 3319954652
  • Category : Computers
  • Languages : en
  • Pages : 388

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.

Big Data Research for Social Sciences and Social Impact

2020-03-19
Big Data Research for Social Sciences and Social Impact

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  • Author: Miltiadis D. Lytras
  • Publisher: MDPI
  • ISBN: 3039282204
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 416

A new era of innovation is enabled by the integration of social sciences and information systems research. In this context, the adoption of Big Data and analytics technology brings new insight to the social sciences. It also delivers new, flexible responses to crucial social problems and challenges. We are proud to deliver this edited volume on the social impact of big data research. It is one of the first initiatives worldwide analyzing of the impact of this kind of research on individuals and social issues. The organization of the relevant debate is arranged around three pillars: Section A: Big Data Research for Social Impact: • Big Data and Their Social Impact; • (Smart) Citizens from Data Providers to Decision-Makers; • Towards Sustainable Development of Online Communities; • Sentiment from Online Social Networks; • Big Data for Innovation. Section B. Techniques and Methods for Big Data driven research for Social Sciences and Social Impact: • Opinion Mining on Social Media; • Sentiment Analysis of User Preferences; • Sustainable Urban Communities; • Gender Based Check-In Behavior by Using Social Media Big Data; • Web Data-Mining Techniques; • Semantic Network Analysis of Legacy News Media Perception. Section C. Big Data Research Strategies: • Skill Needs for Early Career Researchers—A Text Mining Approach; • Pattern Recognition through Bibliometric Analysis; • Assessing an Organization’s Readiness to Adopt Big Data; • Machine Learning for Predicting Performance; • Analyzing Online Reviews Using Text Mining; • Context–Problem Network and Quantitative Method of Patent Analysis. Complementary social and technological factors including: • Big Social Networks on Sustainable Economic Development; Business Intelligence.

Computational Social Science in the Age of Big Data

2018-02-19
Computational Social Science in the Age of Big Data

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  • Author: Martin Welker
  • Publisher: Herbert von Halem Verlag
  • ISBN: 3869622687
  • Category : Business & Economics
  • Languages : en
  • Pages : 462

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.

Soziologie - Sociology in the German-Speaking World

2021-02-22
Soziologie - Sociology in the German-Speaking World

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  • Author: Betina Hollstein
  • Publisher: Walter de Gruyter GmbH & Co KG
  • ISBN: 311062351X
  • Category : Social Science
  • Languages : en
  • Pages : 733

This book provides the first systematic overview of German sociology today. Thirty-four chapters review current trends, relate them to international discussions and discuss perspectives for future research. The contributions span the whole range of sociological research topics, from social inequality to the sociology of body and space, addressing pressing questions in sociological theory and innovative research methods. TOC: Introduction Culture / Uta Karstein and Monika Wohlrab-Sahr Demography and Aging / François Höpflinger Economic Sociology / Andrea Maurer Education and Socialization / Matthias Grundmann Environment / Anita Engels Europe / Monika Eigmüller Family and Intimate Relationships / Dirk Konietzka, Michael Feldhaus, Michaela Kreyenfeld, and Heike Trappe (Felt) Body. Sports, Medicine, and Media / Robert Gugutzer and Claudia Peter Gender / Paula-Irene Villa and Sabine Hark Globalization and Transnationalization / Anja Weiß Global South / Eva Gerharz and Gilberto Rescher History of Sociology / Stephan Moebius Life Course / Johannes Huinink and Betina Hollstein Media and Communication / Andreas Hepp Microsociology / Rainer Schützeichel Migration / Ludger Pries Mixed-Methods and Multimethod Research / Felix Knappertsbusch, Bettina Langfeldt, and Udo Kelle Organization / Raimund Hasse Political Sociology / Jörn Lamla Qualitative Methods / Betina Hollstein and Nils C. Kumkar Quantitative Methods / Alice Barth and Jörg Blasius Religion / Matthias Koenig Science and Higher Education / Anna Kosmützky and Georg Krücken Social Inequalities―Empirical Focus / Gunnar Otte, Mara Boehle, and Katharina Kunißen Social Inequalities―Theoretical Focus / Thomas Schwinn Social Movements / Thomas Kern Social Networks / Roger Häußling Social Policy / Birgit Pfau-Effinger and Christopher Grages Social Problems / Günter Albrecht Social Theory / Wolfgang Ludwig Schneider Society / Uwe Schimank Space. Urban, Rural, Territorial / Martina Löw Technology and Innovation / Werner Rammert Work and Labor / Brigitte Aulenbacher and Johanna Grubner List of Contributors Index

Sociological Foundations of Computational Social Science

Sociological Foundations of Computational Social Science

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  • Author: Yoshimichi Sato
  • Publisher: Springer Nature
  • ISBN: 9819994322
  • Category :
  • Languages : en
  • Pages : 130

Big Data and Social Science

2016-09-15
Big Data and Social Science

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  • Author: Ian Foster
  • Publisher: CRC Press
  • ISBN: 1498751415
  • Category : Mathematics
  • Languages : en
  • Pages : 377

Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A Practical Guide to Methods and Tools shows how to apply data science to real-world problems in both research and the practice. The book provides practical guidance on combining methods and tools from computer science, statistics, and social science. This concrete approach is illustrated throughout using an important national problem, the quantitative study of innovation. The text draws on the expertise of prominent leaders in statistics, the social sciences, data science, and computer science to teach students how to use modern social science research principles as well as the best analytical and computational tools. It uses a real-world challenge to introduce how these tools are used to identify and capture appropriate data, apply data science models and tools to that data, and recognize and respond to data errors and limitations. For more information, including sample chapters and news, please visit the author's website.

Noise Filtering for Big Data Analytics

2022-06-21
Noise Filtering for Big Data Analytics

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  • Author: Souvik Bhattacharyya
  • Publisher: Walter de Gruyter GmbH & Co KG
  • ISBN: 3110697262
  • Category : Computers
  • Languages : en
  • Pages : 195

This book explains how to perform data de-noising, in large scale, with a satisfactory level of accuracy. Three main issues are considered. Firstly, how to eliminate the error propagation from one stage to next stages while developing a filtered model. Secondly, how to maintain the positional importance of data whilst purifying it. Finally, preservation of memory in the data is crucial to extract smart data from noisy big data. If, after the application of any form of smoothing or filtering, the memory of the corresponding data changes heavily, then the final data may lose some important information. This may lead to wrong or erroneous conclusions. But, when anticipating any loss of information due to smoothing or filtering, one cannot avoid the process of denoising as on the other hand any kind of analysis of big data in the presence of noise can be misleading. So, the entire process demands very careful execution with efficient and smart models in order to effectively deal with it.

Social Research Methods

2019-10-14
Social Research Methods

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  • Author: Sigmund Grønmo
  • Publisher: SAGE
  • ISBN: 1526485540
  • Category : Reference
  • Languages : en
  • Pages : 593

With extensive visualizations, overviews, examples, exercises, and other learning features, this book begins with how to understand the role of good questions in underpinning good research designs and how social research can be framed as asking and answering questions.