Weighted waypoint mobility model and its impact on ad hoc networks
ACM SIGMOBILE Mobile Computing and Communications Review
Performance analysis of mobility-assisted routing
Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing
Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing
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
The Structure and Dynamics of Networks: (Princeton Studies in Complexity)
The Structure and Dynamics of Networks: (Princeton Studies in Complexity)
Analysis of a campus-wide wireless network
Wireless Networks
Impact of Human Mobility on Opportunistic Forwarding Algorithms
IEEE Transactions on Mobile Computing
Periodic properties of user mobility and access-point popularity
Personal and Ubiquitous Computing
Visualizing community detection in opportunistic networks
Proceedings of the second ACM workshop on Challenged networks
Mining behavioral groups in large wireless LANs
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Distributed community detection in delay tolerant networks
Proceedings of 2nd ACM/IEEE international workshop on Mobility in the evolving internet architecture
Bubble rap: social-based forwarding in delay tolerant networks
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
Proceedings of the 1st ACM SIGMOBILE workshop on Mobility models
Social Network Analysis for Information Flow in Disconnected Delay-Tolerant MANETs
IEEE Transactions on Mobile Computing
Middleware for Network Eccentric and Mobile Applications
Middleware for Network Eccentric and Mobile Applications
Modeling spatial and temporal dependencies of user mobility in wireless mobile networks
IEEE/ACM Transactions on Networking (TON)
Participatory mobile social network simulation environment
MobiOpp '10 Proceedings of the Second International Workshop on Mobile Opportunistic Networking
Participatory design of sensing networks: strengths and challenges
Proceedings of the Tenth Anniversary Conference on Participatory Design 2008
PROTECT: proximity-based trust-advisor using encounters for mobile societies
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
Peoplerank: social opportunistic forwarding
INFOCOM'10 Proceedings of the 29th conference on Information communications
Recruitment framework for participatory sensing data collections
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
Gauging human mobility characteristics and its impact on mobile routing performance
International Journal of Sensor Networks
Mining user similarity based on routine activities
Information Sciences: an International Journal
Socially-Competent Computing Implementing Social Sensor Design
International Journal of Web-Based Learning and Teaching Technologies
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A new generation of "behavior-aware" delay tolerant networks is emerging in what may define future mobile social networks. With the introduction of novel behavior-aware protocols, services and architectures, there is a pressing need to understand and realistically model mobile users behavioral characteristics, their similarity and clustering. Such models are essential for the analysis, performance evaluation, and simulation of future DTNs. This paper addresses issues related to mobile user similarity, its definition, analysis and modeling. To define similarity, we adopt a behavioral-profile based on users location preferences using their on-line association matrix and its SVD, then calculate the behavioral distance to capture user similarity. This measures the difference of the major spatio-temporal behavioral trends and can be used to cluster users into similarity groups or communities. We then analyze and contrast similarity distributions of mobile user populations in two settings: (i) based on real measurements from four major campuses with over ten thousand users for a month, and (ii) based on existing mobility models, including random direction and time-varying community models. Our results show a rich set of similar communities in real mobile societies with distinct behavioral clusters of users. This is true for all the traces studied, with the trend being consistent over time. Surprisingly, however, we find that the existing mobility models do not explicitly capture similarity and result in homogeneous users that are all similar to each other. Thus the richness and diversity of user behavioral patterns is not captured to any degree in the existing models. These findings strongly suggest that similarity should be explicitly captured in future mobility models, which motivates the need to re-visit mobility modeling to incorporate accurate behavioral models in the future.