Description: Twitter: A Digital Socioscope by Yelena Mejova, Ingmar Weber, Michael W. Macy This book surveys how to use Twitter data to study human behavior and social interaction on a global scale. It is a reference for behavioral and social scientists who want to explore the use of online data in their research, and for non-professionals that follow the social impact of new technologies. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description 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 tomorrows 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. Author Biography 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 contagions on small world networks, the polarization of opinion, segregation of neighborhoods, and assimilation of minority cultures. Table of Contents Introduction: opportunities and challenges for online social research Michael Macy and Scott Golder; 1. Analyzing Twitter data Shamanth Kumar, Fred Morstatter and Huan Liu; 2. Political opinion Daniel Gayo Avello; 3. Socio-economic indicators Huina Mao; 4. Hyperlocal happiness Daniele Quercia; 5. Public health Patty Kostkova; 6. Disaster monitoring Bella Robinson, Robert Power and Mark Cameron. Promotional A resource for social scientists on how Twitter data can be used to study individual behavior and social interaction. Promotional "Headline" A resource for social scientists on how Twitter data can be used to study individual behavior and social interaction. Description for Bookstore This book surveys how to use Twitter data to study human behavior and social interaction on a global scale. It is a reference for behavioral and social scientists who want to explore the use of online data in their research, and for non-professionals that follow the social impact of new technologies. Description for Library This book surveys how to use Twitter data to study human behavior and social interaction on a global scale. It is a reference for behavioral and social scientists who want to explore the use of online data in their research, and for non-professionals that follow the social impact of new technologies. Details ISBN1107500079 Publisher Cambridge University Press Language English Year 2015 ISBN-10 1107500079 ISBN-13 9781107500075 Format Paperback Author Michael W. Macy Media Book Short Title TWITTER A DIGITAL SOCIOSCOPE Imprint Cambridge University Press Place of Publication Cambridge Country of Publication United Kingdom Edited by Ingmar Weber Pages 183 Publication Date 2015-05-05 Affiliation Cornell University, New York UK Release Date 2015-05-05 AU Release Date 2015-05-05 NZ Release Date 2015-05-05 Illustrations 4 Tables, unspecified; 7 Halftones, unspecified; 46 Line drawings, unspecified Alternative 9781107102378 DEWEY 006.312 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:146870558;
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ISBN-13: 9781107500075
Book Title: Twitter: A Digital Socioscope
Number of Pages: 183 Pages
Language: English
Publication Name: Twitter: a Digital Socioscope
Publisher: Cambridge University Press
Publication Year: 2015
Subject: Social Sciences, Computer Science
Item Height: 230 mm
Item Weight: 280 g
Type: Textbook
Author: Yelena Mejova, Ingmar Weber, Michael W. Macy
Item Width: 153 mm
Format: Paperback