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B01=Ingmar Weber
B01=Michael W. Macy
B01=Yelena Mejova
Category1=Non-Fiction
Category=UBJ
Category=UNF
Category=UNN
COP=United Kingdom
Delivery_Delivery within 10-20 working days
Language_English
PA=In stock
Price_€20 to €50
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Twitter: A Digital Socioscope

English

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. See more
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Original price €39.99
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Age Group_Uncategorizedautomatic-updateB01=Ingmar WeberB01=Michael W. MacyB01=Yelena MejovaCategory1=Non-FictionCategory=UBJCategory=UNFCategory=UNNCOP=United KingdomDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=In stockPrice_€20 to €50PS=Activesoftlaunch
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Product Details
  • Weight: 280g
  • Dimensions: 153 x 230mm
  • Publication Date: 05 May 2015
  • Publisher: Cambridge University Press
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781107500075

About

Yelena Mejova is a scientist in the Social Computing Group at Qatar Computing Research Institute. Before QCRI Yelena was a postdoc at Yahoo! Research in Barcelona. A part of the Web Mining Group her work concerned building semantically enriched information retrieval systems as well as examining user behavior through social media. Prior to that her PhD thesis at the University of Iowa concerned the design and application of sentiment analysis tools for mining a variety of social media discourses including political speech. Ingmar Weber is a senior scientist in the Social Computing group at Qatar Computing Research Institute. As an undergraduate he studied mathematics at the University of Cambridge before moving to the Max Planck Institute for Computer Science Germany for his PhD. Before moving to Qatar he spent two years working at the École Polytechnique Fédérale de Lausanne Switzerland and three years at Yahoo! Research in Barcelona Spain. Michael Macy is Goldwin Smith Professor of Arts and Sciences and Director of the Social Dynamics Laboratory at Cornell University. His research team has used computational models online experiments and data from social media to explore enigmatic social patterns the emergence and collapse of fads the spread of self-destructive behaviors cooperation in social dilemmas the critical mass in collective action the spread of contagion's on small world networks the polarization of opinion segregation of neighborhoods and assimilation of minority cultures.

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