Social Media Modeling and Computing

1. Front Matter

   Pages I-XIII

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2. Social Media Content Analysis

   1. Front Matter

      Pages 1-1

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   2. Quantifying Visual-Representativeness of Social Image Tags Using Image Tag Clarity

      • Aixin Sun, Sourav S. Bhowmick

      Pages 3-23

   3. Tag-Based Social Image Search: Toward Relevant and Diverse Results

      • Kuiyuan Yang, Meng Wang, Xian-Sheng Hua, Hong-Jiang Zhang

      Pages 25-45

   4. Social Image Tag Ranking by Two-View Learning

      • Jinfeng Zhuang, Steven C. H. Hoi

      Pages 47-70

   5. Combining Multi-modal Features for Social Media Analysis

      • Spiros Nikolopoulos, Eirini Giannakidou, Ioannis Kompatsiaris, Ioannis Patras, Athena Vakali

      Pages 71-96

   6. Multi-label Image Annotation by Structural Grouping Sparsity

      • Yahong Han, Fei Wu, Yueting Zhuang

      Pages 97-118

3. Social Media System Design and Analysis

   1. Front Matter

      Pages 119-119

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   2. Mechanism Design for Incentivizing Social Media Contributions

      • Vivek K. Singh, Ramesh Jain, Mohan Kankanhalli

      Pages 121-143

   3. Efficient Access Control in Multimedia Social Networks

      • Amit Sachan, Sabu Emmanuel

      Pages 145-165

   4. Call Me Guru: User Categories and Large-Scale Behavior in YouTube

      • Joan-Isaac Biel, Daniel Gatica-Perez

      Pages 167-188

   5. Social Media Visual Analytics for Events

      • Nicholas Diakopoulos, Mor Naaman, Tayebeh Yazdani, Funda Kivran-Swaine

      Pages 189-209

4. Social Media Applications

   1. Front Matter

      Pages 211-211

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   2. Using Rich Social Media Information for Music Recommendation via Hypergraph Model

      • Shulong Tan, Jiajun Bu, Chun Chen, Xiaofei He

      Pages 213-237

   3. Using Geotags to Derive Rich Tag-Clouds for Image Annotation

      • Dhiraj Joshi, Jiebo Luo, Jie Yu, Phoury Lei, Andrew Gallagher

      Pages 239-256

   4. Social Aspects of Photobooks: Improving Photobook Authoring from Large-Scale Multimedia Analysis

      • Philipp Sandhaus, Susanne Boll

      Pages 257-277

5. Back Matter

   Pages 279-286

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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.

• Data Mining
• Machine Learning
• Multimedia
• Social Networks
• Tagging
• Web 2.0

From the reviews:

“It is an appropriate resource for graduate students, software developers, and researchers. … Each chapter is a standalone presentation with a set of references at the end. A comprehensive subject matter index combines all of the chapters, which readers will find useful. … chapters are especially relevant for software developers and designers who want to review current research. … each chapter is well written, and I recommend this presentation of cutting-edge work.” (Brad Reid, ACM Computing Reviews, December, 2011)

• School of Computer Engineering, Nanyang Technological University, Singapore, Singapore

  Steven C.H. Hoi, Dong Xu

• Kodak Research Laboratories, Rochester, USA

  Jiebo Luo

• Media Informatics and Multimedia Systems, University of Oldenburg, Oldenburg, Germany

  Susanne Boll

• Dept. Computer Science and Engineering, Michigan State University, East Lansing, USA

  Rong Jin

• Dept. Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong/PR China

  Irwin King

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