TY - BOOK ID - 85644524 TI - Twitter : a digital socioscope AU - Macy, Michael W. AU - Mejova, Yelena AU - Weber, Ingmar PY - 2015 SN - 1316310949 131629031X 1316182630 1107102375 1107500079 9781107102378 9781107500075 9781316182635 PB - New York (N.Y.): Cambridge university press, DB - UniCat KW - Dyadic analysis (Social sciences) KW - Online social networks KW - Social sciences KW - Webometrics. KW - Bibliometry, Web KW - Cybermetrics KW - Internetometrics KW - Metrics, Web KW - Netometrics KW - Web bibliometry KW - Web metrics KW - Webometry KW - Quantitative research KW - World Wide Web KW - Electronic social networks KW - Social networking Web sites KW - Virtual communities KW - Social media KW - Social networks KW - Sociotechnical systems KW - Web sites KW - Dyadic data analysis (Social sciences) KW - Sociometry KW - Research. KW - Research KW - Methodology. KW - Twitter. KW - Communities, Online (Online social networks) KW - Communities, Virtual (Online social networks) KW - Online communities (Online social networks) KW - Online social networks - Research KW - Social sciences - Research - Methodology KW - Webometrics KW - X (Social networking service) UR - https://www.unicat.be/uniCat?func=search&query=sysid:85644524 AB - "How can Twitter data be used to study individual-level human behavior and social interaction on a global scale? This book introduces readers to the methods, opportunities, and challenges of using Twitter data to analyze phenomena ranging from the number of people infected by the flu, to national elections, to tomorrow's stock prices. Each chapter, written by leading domain experts in clear and accessible language, takes the reader to the forefront of the newly emerging field of computational social science. An introductory chapter on Twitter data analysis provides an overview of key tools and skills, and gives pointers on how to get started, while the case studies demonstrate shortcomings, limitations, and pitfalls of Twitter data as well as its advantages. The book will be an excellent resource for social science students and researchers wanting to explore the use of online data"-- ER -