Twitter: A Digital Socioscope - Couverture souple

Mejova, Yelena

 
9781107500075: Twitter: A Digital Socioscope

Synopsis

A resource for social scientists on how Twitter data can be used to study individual behavior and social interaction.

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À propos des auteurs

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Autres éditions populaires du même titre

9781107102378: Twitter: A Digital Socioscope

Edition présentée

ISBN 10 :  1107102375 ISBN 13 :  9781107102378
Editeur : Cambridge University Press, 2015
Couverture rigide