Web Social Science

Author: Robert Ackland
Publisher: SAGE
ISBN: 1446281558
Format: PDF, Mobi
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'Although written simply enough to be accessible to undergraduates, accomplished scholars are likely to appreciate it too. Reading it taught me quite a lot about a subject I thought I knew rather well. ' - Paul Vogt, Emeritus Professor, Illinois State University 'This book brings the art and science of building and applying innovative online research tools to students and faculty across the social sciences.' - Professor William H. Dutton, Oxford Internet Institute, University of Oxford A comprehensive guide to the theory and practice of web Social Science. This book demonstrates how the web is being used to collect social research data, such as online surveys and interviews, as well as digital trace data from social media environments, such as Facebook and Twitter. It also illuminates how the advent of the web has led to traditional social science concepts and approaches being combined with those from other scientific disciplines, leading to new insights into social, political and economic behaviour. Situating social sciences in the digital age, this book aids: understanding of the fundamental changes to society, politics and the economy that have resulted from the advent of the web choice of appropriate data, tools and research methods for conducting research using web data learning how web data are providing new insights into long-standing social science research questions appreciation of how social science can facilitate an understanding of life in the digital age It is ideal for students and researchers across the social sciences, as well as those from information science, computer science and engineering who want to learn about how social scientists are thinking about and researching the web.

Computational Social Science in the Age of Big Data

Author: Martin Welker
Publisher: Herbert von Halem Verlag
ISBN: 3869622687
Format: PDF, ePub
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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.

Die Vernetzung der Welt

Author: Eric Schmidt
Publisher: Rowohlt Verlag GmbH
ISBN: 3644030618
Format: PDF, Mobi
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Welche Konsequenzen wird es haben, wenn in Zukunft die überwiegende Mehrheit der Weltbevölkerung online ist? Wenn Informationstechnologien so allgegenwärtig sind wie Elektrizität? Was bedeutet das für die Politik, die Wirtschaft – und für uns selbst? Diese Fragen beantwortet ein außergewöhnliches Autorenduo: Eric Schmidt, der Mann, der Google zu einem Weltunternehmen gemacht hat, und Jared Cohen, ehemaliger Berater von Hillary Clinton und Condoleezza Rice und jetzt Chef von Googles Denkfabrik. In diesem aufregenden Buch führen sie uns die Chancen und Gefahren jener eng vernetzten Welt vor Augen, die die meisten von uns noch erleben werden. Es ist die sehr konkrete Vision einer Zukunft, die bereits begonnen hat. Und ein engagiertes Plädoyer dafür, sie jetzt zu gestalten – weil Technologie der leitenden Hand des Menschen bedarf, um Positives zu bewirken.

Combating Violent Extremism and Radicalization in the Digital Era

Author: Khader, Majeed
Publisher: IGI Global
ISBN: 1522501576
Format: PDF, ePub, Docs
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Advances in digital technologies have provided ample positive impacts to modern society; however, in addition to such benefits, these innovations have inadvertently created a new venue for criminal activity to generate. Combating Violent Extremism and Radicalization in the Digital Era is an essential reference for the latest research on the utilization of online tools by terrorist organizations to communicate with and recruit potential extremists and examines effective countermeasures employed by law enforcement agencies to defend against such threats. Focusing on perspectives from the social and behavioral sciences, this book is a critical source for researchers, analysts, intelligence officers, and policy makers interested in preventive methods for online terrorist activities.

Computational Social Science

Author: Andreas Blätte
Publisher:
ISBN: 9783848743933
Format: PDF, ePub, Mobi
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vorbestellbar, Lieferung bei Erscheinen "Big Data" ist in aller Munde. Zeitungen, Zeitschriften und Bucher greifen das Thema auf; es wird viel debattiert. Was aber bedeutet "Big Data" fur die Politikwissenschaft? Welche Herausforderungen stellen sich? Dieser Band sucht Antworten aus inhaltlicher, methodischer und politischer Sicht.

Social Networking

Author: Anastacia Kurylo
Publisher: Rowman & Littlefield
ISBN: 1611477395
Format: PDF
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This book explores the phenomenon of online social networking in the contexts of a global multicultural society caught in the turmoil of the information and communication revolution. It offers readers an up-to-date overview of the field and pushes the area into new understandings of the topic within a multidimensional space.

Web and Network Data Science

Author: Thomas W. Miller
Publisher: FT Press
ISBN: 0133887642
Format: PDF
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Master modern web and network data modeling: both theory and applications. In Web and Network Data Science, a top faculty member of Northwestern University’s prestigious analytics program presents the first fully-integrated treatment of both the business and academic elements of web and network modeling for predictive analytics. Some books in this field focus either entirely on business issues (e.g., Google Analytics and SEO); others are strictly academic (covering topics such as sociology, complexity theory, ecology, applied physics, and economics). This text gives today's managers and students what they really need: integrated coverage of concepts, principles, and theory in the context of real-world applications. Building on his pioneering Web Analytics course at Northwestern University, Thomas W. Miller covers usability testing, Web site performance, usage analysis, social media platforms, search engine optimization (SEO), and many other topics. He balances this practical coverage with accessible and up-to-date introductions to both social network analysis and network science, demonstrating how these disciplines can be used to solve real business problems.

Modeling Techniques in Predictive Analytics with Python and R

Author: Thomas W. Miller
Publisher: FT Press
ISBN: 013389214X
Format: PDF, ePub, Mobi
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Master predictive analytics, from start to finish Start with strategy and management Master methods and build models Transform your models into highly-effective code—in both Python and R This one-of-a-kind book will help you use predictive analytics, Python, and R to solve real business problems and drive real competitive advantage. You’ll master predictive analytics through realistic case studies, intuitive data visualizations, and up-to-date code for both Python and R—not complex math. Step by step, you’ll walk through defining problems, identifying data, crafting and optimizing models, writing effective Python and R code, interpreting results, and more. Each chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work—and maximize their value. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, addresses everything you need to succeed: strategy and management, methods and models, and technology and code. If you’re new to predictive analytics, you’ll gain a strong foundation for achieving accurate, actionable results. If you’re already working in the field, you’ll master powerful new skills. If you’re familiar with either Python or R, you’ll discover how these languages complement each other, enabling you to do even more. All data sets, extensive Python and R code, and additional examples available for download at http://www.ftpress.com/miller/ Python and R offer immense power in predictive analytics, data science, and big data. This book will help you leverage that power to solve real business problems, and drive real competitive advantage. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, illuminating each technique with carefully explained code for the latest versions of Python and R. If you’re new to predictive analytics, Miller gives you a strong foundation for achieving accurate, actionable results. If you’re already a modeler, programmer, or manager, you’ll learn crucial skills you don’t already have. Using Python and R, Miller addresses multiple business challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic code that delivers actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. Appendices include five complete case studies, and a detailed primer on modern data science methods. Use Python and R to gain powerful, actionable, profitable insights about: Advertising and promotion Consumer preference and choice Market baskets and related purchases Economic forecasting Operations management Unstructured text and language Customer sentiment Brand and price Sports team performance And much more

Modeling Techniques in Predictive Analytics

Author: Thomas W. Miller
Publisher: FT Press
ISBN: 0133886190
Format: PDF, ePub, Docs
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To succeed with predictive analytics, you must understand it on three levels: Strategy and management Methods and models Technology and code This up-to-the-minute reference thoroughly covers all three categories. Now fully updated, this uniquely accessible book will help you use predictive analytics to solve real business problems and drive real competitive advantage. If you’re new to the discipline, it will give you the strong foundation you need to get accurate, actionable results. If you’re already a modeler, programmer, or manager, it will teach you crucial skills you don’t yet have. Unlike competitive books, this guide illuminates the discipline through realistic vignettes and intuitive data visualizations–not complex math. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, guides you through defining problems, identifying data, crafting and optimizing models, writing effective R code, interpreting results, and more. Every chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work–and maximize their value. Reflecting extensive student and instructor feedback, this edition adds five classroom-tested case studies, updates all code for new versions of R, explains code behavior more clearly and completely, and covers modern data science methods even more effectively. All data sets, extensive R code, and additional examples available for download at http://www.ftpress.com/miller If you want to make the most of predictive analytics, data science, and big data, this is the book for you. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, appealing to managers, analysts, programmers, and students alike. Miller addresses multiple business cases and challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic R programs that deliver actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Throughout, Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. This edition adds five new case studies, updates all code for the newest versions of R, adds more commenting to clarify how the code works, and offers a more detailed and up-to-date primer on data science methods. Gain powerful, actionable, profitable insights about: Advertising and promotion Consumer preference and choice Market baskets and related purchases Economic forecasting Operations management Unstructured text and language Customer sentiment Brand and price Sports team performance And much more

Aufkl rung jetzt

Author: Steven Pinker
Publisher: S. Fischer Verlag
ISBN: 3104030685
Format: PDF, Mobi
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Eine leidenschaftliche Antithese zum üblichen Kulturpessimismus und ein engagierter Widerspruch zu dem weitverbreiteten Gefühl, dass die Moderne dem Untergang geweiht ist. Hass, Populismus und Unvernunft regieren die Welt, Wissenschaftsfeindlichkeit macht sich breit, Wahrheit gibt es nicht mehr: Wer die Schlagzeilen von heute liest, könnte so denken. Doch Bestseller-Autor Steven Pinker zeigt, dass das grundfalsch ist. Er hat die Entwicklung der vergangenen Jahrhunderte gründlich untersucht und beweist in seiner fulminanten Studie, dass unser Leben stetig viel besser geworden ist. Heute leben wir länger, gesünder, sicherer, glücklicher, friedlicher und wohlhabender denn je, und nicht nur in der westlichen Welt. Der Grund: die Aufklärung und ihr Wertesystem. Denn Aufklärung und Wissenschaft bieten nach wie vor die Basis, um mit Vernunft und im Konsens alle Probleme anzugehen. Anstelle von Gerüchten zählen Fakten, anstatt überlieferten Mythen zu glauben baut man auf Diskussion und Argumente. Anschaulich und brillant macht Pinker eines klar: Vernunft, Wissenschaft, Humanismus und Fortschritt sind weiterhin unverzichtbar für unser Wohlergehen. Ohne sie wird die Welt auf keinen Fall zu einem besseren Ort für uns alle. »Mein absolutes Lieblingsbuch aller Zeiten.« Bill Gates