Ubiquitous Social Media Analysis

1. Front Matter

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2. How to Carve up the World: Learning and Collaboration for Structure Recommendation

   • Mathias Verbeke, Ilija Subašić, Bettina Berendt

   Pages 1-22

3. A Topological Approach for Detecting Twitter Communities with Common Interests

   • Kwan Hui Lim, Amitava Datta

   Pages 23-43

4. Using Geographic Cost Functions to Discover Vessel Itineraries from AIS Messages

   • Annalisa Appice, Donato Malerba, Antonietta Lanza

   Pages 44-62

5. Social Media as a Source of Sensing to Study City Dynamics and Urban Social Behavior: Approaches, Models, and Opportunities

   • Thiago H. Silva, Pedro Olmo S. Vaz de Melo, Jussara M. Almeida, Antonio A. F. Loureiro

   Pages 63-87

6. An Analysis of Interactions within and between Extreme Right Communities in Social Media

   • Derek O’Callaghan, Derek Greene, Maura Conway, Joe Carthy, Pádraig Cunningham

   Pages 88-107

7. Who will Interact with Whom? A Case-Study in Second Life Using Online Social Network and Location-Based Social Network Features to Predict Interactions between Users

   • Michael Steurer, Christoph Trattner

   Pages 108-127

8. Identifying Influential Users by Their Postings in Social Networks

   • Beiming Sun, Vincent TY Ng

   Pages 128-151

9. Modeling a Web Forum Ecosystem into an Enriched Social Graph

   • Tarique Anwar, Muhammad Abulaish

   Pages 152-172

10. Back Matter

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This book constitutes the thoroughly refereed joint post-proceedings of the Third International Workshop on Mining Ubiquitous and Social Environments, MUSE 2012, held in Bristol, UK, in September 2012, and the Third International Workshop on Modeling Social Media, MSM 2012, held in Milwaukee, WI, USA, in June 2012. The 8 full papers included in the book are revised and significantly extended versions of papers submitted to the workshops. They cover a wide range of topics organized in three main themes: communities and group structure in ubiquitous social media; ubiquitous modeling and aspects of social interactions and influence.

• collective intelligence
• community detection
• data mining
• social networks
• ubiquitous computing

• Knowledge and Data Engineering Group, University of Kassel, Kassel, Germany

  Martin Atzmueller

• Economic and Technological Development Area, Nokia, Beijing, China

  Alvin Chin

• Institute for Knowledge Management, Graz University of Technology, Graz, Austria

  Denis Helic

• Data Mining and Information Retrieval Group, University of Würzburg, Würzburg, Germany

  Andreas Hotho

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