Overview
- Provides a survey of next-generation social computational methodologies, from fundamentals to state-of-the-art techniques
- Includes perspectives from an international and interdisciplinary selection of pre-eminent authorities
- Presents balanced coverage of both detailed theoretical analysis and real-world applications
- Includes supplementary material: sn.pub/extras
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Table of contents (11 chapters)
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Front Matter
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Social Relationships in Human-Centered Media
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Front Matter
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Human Attributes in Social Media Analytics
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Front Matter
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Back Matter
Keywords
About this book
This book provides a timely and unique survey of next-generation social computational methodologies. The text explains the fundamentals of this field, and describes state-of-the-art methods for inferring social status, relationships, preferences, intentions, personalities, needs, and lifestyles from human information in unconstrained visual data. Topics and features: includes perspectives from an international and interdisciplinary selection of pre-eminent authorities; presents balanced coverage of both detailed theoretical analysis and real-world applications; examines social relationships in human-centered media for the development of socially-aware video, location-based, and multimedia applications; reviews techniques for recognizing the social roles played by people in an event, and for classifying human-object interaction activities; discusses the prediction and recognition of human attributes via social media analytics, including social relationships, facial age and beauty, and occupation.
Reviews
“Human-Centered Social Media Analytics focuses on the novel social computational methodologies that are being developed to investigate social media data. … Scholars, both new and established, should consider reading … to gain an understanding of the questions they should pursue and the challenges they must overcome as they strive to advance big data and social media analytics research.” (Pratyush Bharati, Interfaces, Vol. 47 (3), May-June, 2017)
Editors and Affiliations
Bibliographic Information
Book Title: Human-Centered Social Media Analytics
Editors: Yun Fu
DOI: https://doi.org/10.1007/978-3-319-05491-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-05490-2Published: 07 April 2014
Softcover ISBN: 978-3-319-34709-7Published: 23 August 2016
eBook ISBN: 978-3-319-05491-9Published: 24 March 2014
Edition Number: 1
Number of Pages: VIII, 208
Number of Illustrations: 46 b/w illustrations, 51 illustrations in colour
Topics: Biometrics, Data Mining and Knowledge Discovery, User Interfaces and Human Computer Interaction, Artificial Intelligence, Image Processing and Computer Vision