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  • Boca Raton ; London ; New York : CRC Press  (1)
  • [Erscheinungsort nicht ermittelbar] : Chapman and Hall/CRC  (1)
  • Mathematische Modellierung  (2)
Datasource
Material
Language
Years
Author, Corporation
Publisher
Keywords
Subjects(RVK)
  • 1
    Online Resource
    Online Resource
    Information spread in a social media age : modeling and control (2021)
    Boca Raton ; London ; New York : CRC Press
    Details
    ISBN: 9780429263842
    Language: English
    Pages: 1 Online-Ressource (xxix, 248 Seiten)
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    DDC: 302.231
    RVK:
    AP 15965
    RVK:
    ST 205
    Keywords: Social media Mathematical models ; Online social networks Mathematical models ; Information technology Mathematical models ; Soziomarketing ; Information ; Mathematische Modellierung ; Verbreitung ; Social Media ; Electronic books ; Information ; Verbreitung ; Social Media ; Soziomarketing ; Mathematische Modellierung
    Abstract: Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Foreword -- Preface -- Authors -- Acknowledgments -- List of Figures -- List of Tables -- List of Codes -- Symbols -- 1. Introduction -- 1.1. Expressions of Information -- 1.2. Why Information Spread Matters? -- 1.3. Modern Information Spread Scenarios -- 1.3.1. Global Communication During a Pandemic -- 1.3.2. Governments and Mass Panic -- 1.3.3. Shopping and Advertising -- 1.3.4. Social or Political Campaigning -- 1.3.5. Misinformation, Disinformation, and Fake News -- 1.4. Controllable Information Spread -- 1.5. How to Read This Book -- 1.6. Exercises -- I. Understanding Social Networking Systems -- 2. Social Media in Popular Culture -- 2.1. The Topology of Social Media -- 2.2. Social Networking Sites -- 2.2.1. Twitter -- 2.2.2. Facebook -- 2.2.3. LinkedIn -- 2.3. Content Sharing Sites -- 2.4. Discussion Forums -- 2.5. News and Blogs -- 2.6. Shopping and Reviews -- 2.7. Games and Music -- 2.8. Hybrid Social Media -- 2.8.1. Internet Memes -- 2.9. Exercises -- 3. Social Theory and Networks -- 3.1. Philosophy, Science, and Information Spread -- 3.1.1. The Ancient World -- 3.1.2. The Medieval World -- 3.1.3. The Early Modern World -- 3.1.4. The Contemporary World -- 3.2. Social Theory and Social Networks -- 3.3. Social Exchange Theory -- 3.4. Exercises -- 4. Social Network Relationships and Structures -- 4.1. Social Network Relationship Overview -- 4.2. Core Social Network Relationships -- 4.2.1. Symmetry -- 4.2.2. Directionality -- 4.2.3. Intermediary Relationships -- 4.2.4. Complex Networks -- 4.3. Homophily and Filter Bubbles -- 4.4. Dyadic Relationships and Reciprocity -- 4.5. Triads and Balanced Relationships -- 4.6. Social Network Analysis Software -- 4.7. Exercises -- 5. Social Network Analysis -- 5.1. Density and Structural Holes -- 5.2. Weak and Strong Ties
    Note: Description based on publisher supplied metadata and other sources
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    KOBV
  • 2
    Online Resource
    Online Resource
    Introduction to High-Dimensional Statistics (2014)
    [Erscheinungsort nicht ermittelbar] : Chapman and Hall/CRC | Boston, MA : Safari
    Details
    ISBN: 9781482237955 , 1482237954 , 1322629536 , 9781322629537 , 042917389X , 9780429173899 , 9781482237948
    Language: English
    Pages: 1 online resource (270 pages)
    Edition: 1st edition
    Series Statement: Monographs on statistics & applied probability 139
    Parallel Title: Erscheint auch als
    Keywords: Dimensional analysis ; Multivariate analysis ; Big data ; Statistics ; Electronic books ; local ; Analyse dimensionnelle ; Analyse multivariée ; Données volumineuses ; Statistique ; statistics ; MATHEMATICS ; Applied ; MATHEMATICS ; Probability & Statistics ; General ; Big data ; Dimensional analysis ; Multivariate analysis ; Statistics ; Boosting ; Datenanalyse ; Hochdimensionale Daten ; Inferenzstatistik ; Lasso-Methode ; Mathematische Modellierung ; Statistik
    Abstract: Ever-greater computing technologies have given rise to an exponentially growing volume of data. Today massive data sets (with potentially thousands of variables) play an important role in almost every branch of modern human activity, including networks, finance, and genetics. However, analyzing such data has presented a challenge for statisticians and data analysts and has required the development of new statistical methods capable of separating the signal from the noise. Introduction to High-Dimensional Statistics is a concise guide to state-of-the-art models, techniques, and approaches for handling high-dimensional data. The book is intended to expose the reader to the key concepts and ideas in the most simple settings possible while avoiding unnecessary technicalities. Offering a succinct presentation of the mathematical foundations of high-dimensional statistics, this highly accessible text: Describes the challenges related to the analysis of high-dimensional data Covers cutting-edge statistical methods including model selection, sparsity and the lasso, aggregation, and learning theory Provides detailed exercises at the end of every chapter with collaborative solutions on a wikisite Illustrates concepts with simple but clear practical examples Introduction to High-Dimensional Statistics is suitable for graduate students and researchers interested in discovering modern statistics for massive data. It can be used as a graduate text or for self-study.
    Note: Online resource; Title from title page (viewed December 17, 2014) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
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