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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
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, US...
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| Auteurs principaux : | , , , |
|---|---|
| Format : | Livre |
| Langue : | anglais |
| Titre complet : | 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 / edited by Martin Atzmueller, Alvin Chin, Denis Helic, Andreas Hotho |
| Édition : | 1st ed. 2013. |
| Publié : |
Berlin, Heidelberg :
Springer Berlin Heidelberg
, [20..] Cham : Springer Nature |
| Collection : | Lecture Notes in Artificial Intelligence ; 8329 |
| Accès en ligne : |
Accès Nantes Université
Accès direct soit depuis les campus via le réseau ou le wifi eduroam soit à distance avec un compte @etu.univ-nantes.fr ou @univ-nantes.fr |
| Note sur l'URL : | Accès sur la plateforme de l'éditeur (Springer) Accès sur la plateforme Istex |
| Condition d'utilisation et de reproduction : | Conditions particulières de réutilisation pour les bénéficiaires des licences nationales : https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 |
| Contenu : | How to Carve up the World: Learning and Collaboration for Structure Recommendation. A Topological Approach for Detecting Twitter Communities with Common Interests. Using Geographic Cost Functions to Discover Vessel Itineraries from AIS Messages. Social Media as a Source of Sensing to Study City Dynamics and Urban Social Behavior: Approaches, Models and Opportunities. An Analysis of Interactions within and between Extreme Right Communities in Social Media. 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. Identifying Influential Users by Their Postings in Social Networks. Modeling a Web Forum Ecosystem into an Enriched Social Graph |
| Sujets : | |
| Documents associés : | Autre format:
Ubiquitous Social Media Analysis Autre format: Ubiquitous Social Media Analysis |