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"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"--

Dyadic analysis (Social sciences) --- Online social networks --- Social sciences --- Webometrics. --- Bibliometry, Web --- Cybermetrics --- Internetometrics --- Metrics, Web --- Netometrics --- Web bibliometry --- Web metrics --- Webometry --- Quantitative research --- World Wide Web --- Electronic social networks --- Social networking Web sites --- Virtual communities --- Social media --- Social networks --- Sociotechnical systems --- Web sites --- Dyadic data analysis (Social sciences) --- Sociometry --- Research. --- Research --- Methodology. --- Twitter. --- Communities, Online (Online social networks) --- Communities, Virtual (Online social networks) --- Online communities (Online social networks) --- Online social networks - Research --- Social sciences - Research - Methodology --- Webometrics --- X (Social networking service)