Ubiquitous Social Media Analysis

Third International Workshops, MUSE 2012, Bristol, UK, September 24, 2012, and MSM 2012, Milwaukee, WI, USA, June 25, 2012, Revised Selected Papers

  • Martin Atzmueller
  • Alvin Chin
  • Denis Helic
  • Andreas Hotho
Conference proceedings MUSE 2012, MSM 2012

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8329)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 8329)

Table of contents

  1. Front Matter
  2. Mathias Verbeke, Ilija Subašić, Bettina Berendt
    Pages 1-22
  3. Annalisa Appice, Donato Malerba, Antonietta Lanza
    Pages 44-62
  4. Thiago H. Silva, Pedro Olmo S. Vaz de Melo, Jussara M. Almeida, Antonio A. F. Loureiro
    Pages 63-87
  5. Derek O’Callaghan, Derek Greene, Maura Conway, Joe Carthy, Pádraig Cunningham
    Pages 88-107
  6. Tarique Anwar, Muhammad Abulaish
    Pages 152-172
  7. Back Matter

About these proceedings


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

Editors and affiliations

  • Martin Atzmueller
    • 1
  • Alvin Chin
    • 2
  • Denis Helic
    • 3
  • Andreas Hotho
    • 4
  1. 1.Knowledge and Data Engineering GroupUniversity of KasselKasselGermany
  2. 2.Economic and Technological Development AreaNokiaBeijingChina
  3. 3.Institute for Knowledge ManagementGraz University of TechnologyGrazAustria
  4. 4.Data Mining and Information Retrieval GroupUniversity of WürzburgWürzburgGermany

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-45391-5
  • Online ISBN 978-3-642-45392-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site