Social net: using patterns of physical proximity over time to infer shared interests
CHI '02 Extended Abstracts on Human Factors in Computing Systems
Wearable Communities: Augmenting Social Networks with Wearable Computers
IEEE Pervasive Computing
An ad hoc mobility model founded on social network theory
MSWiM '04 Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
A community based mobility model for ad hoc network research
REALMAN '06 Proceedings of the 2nd international workshop on Multi-hop ad hoc networks: from theory to reality
Building realistic mobility models from coarse-grained traces
Proceedings of the 4th international conference on Mobile systems, applications and services
An Agenda Based Mobility Model21
ANSS '06 Proceedings of the 39th annual Symposium on Simulation
Designing mobility models based on social network theory
ACM SIGMOBILE Mobile Computing and Communications Review
User-Centric Mobility Models for Opportunistic Networking
Bio-Inspired Computing and Communication
The sociable traveller: human travelling patterns in social-based mobility
Proceedings of the 7th ACM international symposium on Mobility management and wireless access
Agenda driven mobility modelling
International Journal of Ad Hoc and Ubiquitous Computing
The impact of mobility on Mobile Ad Hoc Networks through the perspective of complex networks
Journal of Parallel and Distributed Computing
An efficient social network-mobility model for MANETs
IWDC'05 Proceedings of the 7th international conference on Distributed Computing
SOUK: social observation of human kinetics
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Discovering periodic patterns of nodal encounters in mobile networks
Pervasive and Mobile Computing
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Many mobility models have been proposed for the simulation of mobile ad hoc networking applications. However, none of the existing models integrates the sociological dimension of user movement. The mobility of a mobile user is highly influenced by his relationships to other users and, thus, by the social network he is embedded in. Therefore, we propose a social mobility model that takes an arbitrarily shaped model of a social network and turns it into a simulation that reflects the relationships between users and their probability to interact. In this paper we motivate the need for social mobility models and we sketch the algorithm that creates the simulation1.