Hoi / Luo / Boll Social Media Modeling and Computing

1. Auflage 2011
ISBN: 978-0-85729-436-4
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 286 Seiten

Reihe: Computer Science (R0)

This timely text/reference presents the latest advances in various aspects of social media modeling and social media computing research. Gathering together superb research from a range of established international conferences and workshops, the editors coherently organize and present each of the topics in relation to the basic principles and practices of social media modeling and computing. Individual chapters can be also be used as self-contained references on the material covered. Topics and features: presents contributions from an international selection of preeminent experts in the field; discusses topics on social-media content analysis; examines social-media system design and analysis, and visual analytic tools for event analysis; investigates access control for privacy and security issues in social networks; describes emerging applications of social media, for music recommendation, automatic image annotation, and the analysis and improvement of photo-books.

Zielgruppe

Research

Autoren/Hrsg.

Hoi, Steven C.H.

Luo, Jiebo

Boll, Susanne

Xu, Dong

Jin, Rong

King, Irwin

Inhaltsverzeichnis

Quantifying Visual-Representativeness of Social Image Tags using Image Tag Clarity.- Tag-Based Social Image Search: Towards Relevant and Diverse Results.- Social Image Tag Ranking by Two-View Learning.- Combining Multi-modal Features for Social Media Analysis.- Multi-label Image Annotation by Structural Grouping Sparsity.- Mechanism Design for Incentivizing Social Media Contributions.- Efficient Access Control in Multimedia Social Networks.- Call Me Guru: User Categories and Large-Scale Behavior in YouTube.- Social Media Visual Analytics for Events.- Using Rich Social Media Information for Music Recommendation via Hypergraph Model.- Using Geotags to Derive Rich Tagclouds for Image Annotation.- Social Aspects of Photobooks: Improving Photobook Authoring from Large-Scale Multimedia Analysis.