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Mobile Networks and Applications
Erschienen in: Mobile Networks and Applications 2/2017

08.02.2017

Discovering Interest Based Mobile Communities

Erschienen in: Mobile Networks and Applications | Ausgabe 2/2017

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Abstract

Human mobility has attracted lots of attention in the domain of wireless communication technologies and behavioral sciences. Exploring and analyzing human movements that are changing over time, relating to user habits and depending on spacial aspect is a challenging problem. In this paper, we are interested in discovering communities of mobile users and studying how do communities provide accurate knowledge to analysis the different forms of human mobility. The basic idea of our work is to model the behaviour of users with strong social characteristics regarding the context of their location histories to explore a similar interest of people by mining their mobiles communities. The proposed analysis illustrates in what way a common interest of a group of individuals can create better understanding of human mobility. Realistic models based on these interest based communities can be the basis for applications as recommendation system or wireless networks management.
Vorheriger Artikel The Internet of Things Supporting Context-Aware Computing: A Cultural Heritage Case Study
Nächster Artikel A Formal Approach to Checking Consistency in Software Refactoring

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Metadaten
Titel
Discovering Interest Based Mobile Communities
Publikationsdatum
08.02.2017
Erschienen in
Mobile Networks and Applications / Ausgabe 2/2017
Print ISSN: 1383-469X
Elektronische ISSN: 1572-8153
DOI
https://doi.org/10.1007/s11036-017-0811-3

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