Computational Social Science

Discovery and Prediction

Author: R. Michael Alvarez

Publisher: Cambridge University Press

ISBN: 1316531287

Category: Political Science

Page: N.A

View: 3500

Quantitative research in social science research is changing rapidly. Researchers have vast and complex arrays of data with which to work: we have incredible tools to sift through the data and recognize patterns in that data; there are now many sophisticated models that we can use to make sense of those patterns; and we have extremely powerful computational systems that help us accomplish these tasks quickly. This book focuses on some of the extraordinary work being conducted in computational social science - in academia, government, and the private sector - while highlighting current trends, challenges, and new directions. Thus, Computational Social Science showcases the innovative methodological tools being developed and applied by leading researchers in this new field. The book shows how academics and the private sector are using many of these tools to solve problems in social science and public policy.

Computational Social Science in the Age of Big Data

Concepts, Methodologies, Tools, and Applications

Author: Martin Welker,Cathleen M. Stützer,Marc Egger

Publisher: Herbert von Halem Verlag

ISBN: 3869622687

Category: Business & Economics

Page: 460

View: 9036

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.

Heterogeneous Agent Modeling

Author: Cars Hommes,Blake LeBaron

Publisher: Elsevier

ISBN: 0444641327

Category: Business & Economics

Page: 834

View: 5568

Handbook of Computational Economics: Heterogeneous Agent Modeling, Volume Four, focuses on heterogeneous agent models, emphasizing recent advances in macroeconomics (including DSGE), finance, empirical validation and experiments, networks and related applications. Capturing the advances made since the publication of Volume Two (Tesfatsion & Judd, 2006), it provides high-level literature with sections devoted to Macroeconomics, Finance, Empirical Validation and Experiments, Networks, and other applications, including Innovation Diffusion in Heterogeneous Populations, Market Design and Electricity Markets, and a final section on Perspectives on Heterogeneity. Helps readers fully understand the dynamic properties of realistically rendered economic systems Emphasizes detailed specifications of structural conditions, institutional arrangements and behavioral dispositions Provides broad assessments that can lead researchers to recognize new synergies and opportunities

Transformative Practice and Research in Organizational Communication

Author: Salem, Philip J.,Timmerman, Erik

Publisher: IGI Global

ISBN: 1522528245

Category: Business & Economics

Page: 367

View: 4404

Communication creates organizations, and the ways individuals communicate determines the functions and processes of organizations. Understanding communication challenges is necessary in order to understand organizational successes and organizational change. Transformative Practice and Research in Organizational Communication is an essential reference publication featuring the latest scholarly research on the practice of organizational communication. The chapters cover a range of topics such as business expertise, social media, and capitalism. This book is ideally designed for academicians, students, professionals, and managers seeking current research on organizational communication practices.

Synergetik

eine Einführung

Author: Hermann Haken

Publisher: N.A

ISBN: 9783540110507

Category: Synergetics

Page: 382

View: 6097

Advances in Social Network Mining and Analysis

Second International Workshop, SNAKDD 2008, Las Vegas, NV, USA, August 24-27, 2008. Revised Selected Papers

Author: C. Lee Giles,Marc Smith,John Yen,Haizheng Zhang

Publisher: Springer Science & Business Media

ISBN: 3642149286

Category: Computers

Page: 131

View: 2947

This work constitutes the proceedings of the Second International Workshop on Advances in Social Network and Analysis, held in Las Vegas, NV, USA in August 2008.

Big Data

Die Revolution, die unser Leben verändern wird

Author: Viktor Mayer-Schönberger,Viktor; Cukier Mayer-Schönberger

Publisher: Redline Wirtschaft

ISBN: 3864144590

Category: Political Science

Page: 288

View: 6891

Ob Kaufverhalten, Grippewellen oder welche Farbe am ehesten verrät, ob ein Gebrauchtwagen in einem guten Zustand ist – noch nie gab es eine solche Menge an Daten und noch nie bot sich die Chance, durch Recherche und Kombination in der Daten¬flut blitzschnell Zusammenhänge zu entschlüsseln. Big Data bedeutet nichts weniger als eine Revolution für Gesellschaft, Wirtschaft und Politik. Es wird die Weise, wie wir über Gesundheit, Erziehung, Innovation und vieles mehr denken, völlig umkrempeln. Und Vorhersagen möglich machen, die bisher undenkbar waren. Die Experten Viktor Mayer-Schönberger und Kenneth Cukier beschreiben in ihrem Buch, was Big Data ist, welche Möglichkeiten sich eröffnen, vor welchen Umwälzungen wir alle stehen – und verschweigen auch die dunkle Seite wie das Ausspähen von persönlichen Daten und den drohenden Verlust der Privatsphäre nicht.

Learning from Data Streams

Processing Techniques in Sensor Networks

Author: João Gama,Mohamed Medhat Gaber

Publisher: Springer Science & Business Media

ISBN: 3540736786

Category: Computers

Page: 244

View: 5203

Provides the reader with an overview of stream data processing, including prototype implementations like the Nile system and the TinyOS operating system.

Data Mining and Knowledge Discovery Handbook

Author: Oded Maimon,Lior Rokach

Publisher: Springer Science & Business Media

ISBN: 038725465X

Category: Computers

Page: 1383

View: 3608

Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This book first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook is designed for research scientists and graduate-level students in computer science and engineering. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.

Die Online-Inhaltsanalyse

Forschungsobjekt Internet

Author: Martin Welker,Carsten Wünsch

Publisher: N.A

ISBN: N.A

Category: Computer network resources

Page: 475

View: 2578

The Science of Regional and Global Change

Putting Knowledge to Work

Author: National Research Council,Policy and Global Affairs,Policy Division,Committee on Global Change Research

Publisher: National Academies Press

ISBN: 0309183499

Category: Science

Page: 32

View: 1137

This report is intended to promote a dialogue between the scientific community and the government officials who will lead our nation in the coming years on global change research. The first section of the report is a brief description of the challenges and proposed responses needed from the highest levels of the government and the second provides more detailed discussion and is directed to agency-level issues and responses. The last section is a detailed bibliography that lists many of the specific reports on which the views outlined here are ultimately based.

Social Network Analysis in Predictive Policing

Concepts, Models and Methods

Author: Mohammad A. Tayebi,Uwe Glässer

Publisher: Springer

ISBN: 3319414925

Category: Computers

Page: 133

View: 9906

This book focuses on applications of social network analysis in predictive policing. Data science is used to identify potential criminal activity by analyzing the relationships between offenders to fully understand criminal collaboration patterns. Co-offending networks—networks of offenders who have committed crimes together—have long been recognized by law enforcement and intelligence agencies as a major factor in the design of crime prevention and intervention strategies. Despite the importance of co-offending network analysis for public safety, computational methods for analyzing large-scale criminal networks are rather premature. This book extensively and systematically studies co-offending network analysis as effective tool for predictive policing. The formal representation of criminological concepts presented here allow computer scientists to think about algorithmic and computational solutions to problems long discussed in the criminology literature. For each of the studied problems, we start with well-founded concepts and theories in criminology, then propose a computational method and finally provide a thorough experimental evaluation, along with a discussion of the results. In this way, the reader will be able to study the complete process of solving real-world multidisciplinary problems.

Modeling Techniques in Predictive Analytics with Python and R

A Guide to Data Science

Author: Thomas W. Miller

Publisher: FT Press

ISBN: 013389214X

Category: Computers

Page: 448

View: 3999

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

Sichtbarkeitsregime

Überwachung, Sicherheit und Privatheit im 21. Jahrhundert

Author: Leon Hempel,Susanne Krasmann,Ulrich Bröckling

Publisher: VS Verlag für Sozialwissenschaften

ISBN: N.A

Category: Political Science

Page: 322

View: 6485

Sicherheits- und Überwachungstechnologien etablieren Sichtbarkeitsregime, die sich ihrerseits der Einsehbarkeit und damit der Kontrolle entziehen. Während Bevölkerung und Individuen in neuer Weise lesbar gemacht werden – als Gefahrenträger, die kontrolliert, als Gefährdete, die geschützt, als Konsumenten, deren Präferenzen erhoben, als Angestellte, deren Leistungen evaluiert werden –, bleibt die gesellschaftliche Funktionalität der Technik zu dechiffrieren. Im Zeichen von Prävention vollzieht sich ein radikaler Innovationsschub, der die Verfasstheit liberaler Gesellschaften in Frage stellt und traditionelle Grenzziehungen auf dem Feld der Sicherheit untergräbt. Kriminalität, Terrorismus, Krieg und Naturkatastrophen werden zu einem Kontinuum der Bedrohung verknüpft. Neben den staatlichen Organen treten private Sicherheitsagenturen, Anwender von Sicherheitstechnologien wie Verkehrsunternehmen, kommerzielle Datensammler und die Think Tanks der Sicherheitsforschung. Der Sonderband nimmt dieses Zusammenspiel von Akteuren, Technologien und strategischen Wirkungen ebenso in den Blick wie die gesellschaftlichen Bewegungen, die Privatheit als Residuum gegen Überwachung und Kontrolle neu entdecken.

Modeling Techniques in Predictive Analytics

Business Problems and Solutions with R, Revised and Expanded Edition

Author: Thomas W. Miller

Publisher: FT Press

ISBN: 0133886190

Category: Computers

Page: 384

View: 3271

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

Sie belieben wohl zu scherzen, Mr. Feynman!

Abenteuer eines neugierigen Physikers

Author: Richard P. Feynman

Publisher: Piper ebooks

ISBN: 3492969445

Category: Science

Page: 464

View: 3873

Dieses unglaublich witzige Buch dreht sich rund um den Menschen Feynman, der mit Anekdoten und Geschichten aus der Schulzeit, aus seiner Zeit in Los Alamos und schließlich als Professor aufwartet. Aber auch die Motivation Richard P. Feynmans, zu den höchsten Gipfeln der Wissenschaft vorzudringen, wird aus diesen Geschichten deutlich: unersättliche Neugier und geistige Unabhängigkeit.

Datenanalyse mit Python

Auswertung von Daten mit Pandas, NumPy und IPython

Author: Wes McKinney

Publisher: O'Reilly

ISBN: 3960102143

Category: Computers

Page: 542

View: 1668

Erfahren Sie alles über das Manipulieren, Bereinigen, Verarbeiten und Aufbereiten von Datensätzen mit Python: Aktualisiert auf Python 3.6, zeigt Ihnen dieses konsequent praxisbezogene Buch anhand konkreter Fallbeispiele, wie Sie eine Vielzahl von typischen Datenanalyse-Problemen effektiv lösen. Gleichzeitig lernen Sie die neuesten Versionen von pandas, NumPy, IPython und Jupyter kennen.Geschrieben von Wes McKinney, dem Begründer des pandas-Projekts, bietet Datenanalyse mit Python einen praktischen Einstieg in die Data-Science-Tools von Python. Das Buch eignet sich sowohl für Datenanalysten, für die Python Neuland ist, als auch für Python-Programmierer, die sich in Data Science und Scientific Computing einarbeiten wollen. Daten und zugehöriges Material des Buchs sind auf GitHub verfügbar.Aus dem Inhalt:Nutzen Sie die IPython-Shell und Jupyter Notebook für das explorative ComputingLernen Sie Grundfunktionen und fortgeschrittene Features von NumPy kennenSetzen Sie die Datenanalyse-Tools der pandasBibliothek einVerwenden Sie flexible Werkzeuge zum Laden, Bereinigen, Transformieren, Zusammenführen und Umformen von DatenErstellen Sie interformative Visualisierungen mit matplotlibWenden Sie die GroupBy-Mechanismen von pandas an, um Datensätzen zurechtzuschneiden, umzugestalten und zusammenzufassenAnalysieren und manipulieren Sie verschiedenste Zeitreihen-DatenFür diese aktualisierte 2. Auflage wurde der gesamte Code an Python 3.6 und die neuesten Versionen der pandas-Bibliothek angepasst. Neu in dieser Auflage: Informationen zu fortgeschrittenen pandas-Tools sowie eine kurze Einführung in statsmodels und scikit-learn.

Erfahrung und Prognose

Eine Analyse der Grundlagen und der Struktur der Erkenntnis

Author: Hans Reichenbach

Publisher: Springer-Verlag

ISBN: 3663121372

Category: Mathematics

Page: 312

View: 7121

Dieses Buch ist Reichenbachs Erkenntnistheorie, entstanden im Exil und 1938 in Englisch veröffentlicht.Es liegt hier erstmals in deutscher Sprache vor. Es enthält den Schlüssel zum Verständnis der Reichenbachschen Philosophie und besticht durch die sehr geschlossene Darstellung der Gedanken über den logischen Empirismus.

Computational Intelligence in Digital Forensics: Forensic Investigation and Applications

Author: Azah Kamilah Muda,Yun-Huoy Choo,Ajith Abraham,Sargur N. Srihari

Publisher: Springer

ISBN: 3319058851

Category: Computers

Page: 455

View: 8148

Computational Intelligence techniques have been widely explored in various domains including forensics. Analysis in forensic encompasses the study of pattern analysis that answer the question of interest in security, medical, legal, genetic studies and etc. However, forensic analysis is usually performed through experiments in lab which is expensive both in cost and time. Therefore, this book seeks to explore the progress and advancement of computational intelligence technique in different focus areas of forensic studies. This aims to build stronger connection between computer scientists and forensic field experts. This book, Computational Intelligence in Digital Forensics: Forensic Investigation and Applications, is the first volume in the Intelligent Systems Reference Library series. The book presents original research results and innovative applications of computational intelligence in digital forensics. This edited volume contains seventeen chapters and presents the latest state-of-the-art advancement of Computational Intelligence in Digital Forensics; in both theoretical and application papers related to novel discovery in intelligent forensics. The chapters are further organized into three sections: (1) Introduction, (2) Forensic Discovery and Investigation, which discusses the computational intelligence technologies employed in Digital Forensic, and (3) Intelligent Forensic Science Applications, which encompasses the applications of computational intelligence in Digital Forensic, such as human anthropology, human biometrics, human by products, drugs, and electronic devices.