Co-clustering documents and words using bipartite spectral graph partitioning
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Contour and Texture Analysis for Image Segmentation
International Journal of Computer Vision
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Spectral partitioning works: planar graphs and finite element meshes
FOCS '96 Proceedings of the 37th Annual Symposium on Foundations of Computer Science
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
Reality mining: sensing complex social systems
Personal and Ubiquitous Computing
Impact of Human Mobility on Opportunistic Forwarding Algorithms
IEEE Transactions on Mobile Computing
Power law and exponential decay of inter contact times between mobile devices
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
What's going on?: learning communication rules in edge networks
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
Exploiting social interactions in mobile systems
UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
DASFAA'06 Proceedings of the 11th international conference on Database Systems for Advanced Applications
WhereStore: location-based data storage for mobile devices interacting with the cloud
Proceedings of the 1st ACM Workshop on Mobile Cloud Computing & Services: Social Networks and Beyond
Anatomizing application performance differences on smartphones
Proceedings of the 8th international conference on Mobile systems, applications, and services
Proceedings of the 8th international conference on Mobile systems, applications, and services
Profiling users in a 3g network using hourglass co-clustering
Proceedings of the sixteenth annual international conference on Mobile computing and networking
Distribution-based anomaly detection in 3G mobile networks: from theory to practice
International Journal of Network Management
Scholastic streaming: rethinking mobile video-on-demand in a campus environment
Proceedings of the 3rd workshop on Mobile video delivery
A first look at traffic on smartphones
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
A first look at mobile hand-held device traffic
PAM'10 Proceedings of the 11th international conference on Passive and active measurement
LiveLab: measuring wireless networks and smartphone users in the field
ACM SIGMETRICS Performance Evaluation Review
A comparative study of handheld and non-handheld traffic in campus Wi-Fi networks
PAM'11 Proceedings of the 12th international conference on Passive and active measurement
Characterizing and modeling internet traffic dynamics of cellular devices
Proceedings of the ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
Cellular data network infrastructure characterization and implication on mobile content placement
Proceedings of the ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
AccuLoc: practical localization of performance measurements in 3G networks
MobiSys '11 Proceedings of the 9th international conference on Mobile systems, applications, and services
Characterizing and modeling internet traffic dynamics of cellular devices
ACM SIGMETRICS Performance Evaluation Review - Performance evaluation review
Cellular data network infrastructure characterization and implication on mobile content placement
ACM SIGMETRICS Performance Evaluation Review - Performance evaluation review
Anonymization of location data does not work: a large-scale measurement study
MobiCom '11 Proceedings of the 17th annual international conference on Mobile computing and networking
Identifying diverse usage behaviors of smartphone apps
Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference
Steps towards the extraction of vehicular mobility patterns from 3g signaling data
TMA'12 Proceedings of the 4th international conference on Traffic Monitoring and Analysis
Characterizing data usage patterns in a large cellular network
Proceedings of the 2012 ACM SIGCOMM workshop on Cellular networks: operations, challenges, and future design
Taming the mobile data deluge with drop zones
IEEE/ACM Transactions on Networking (TON)
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
A global local modeling of internet usage in large mobile societies
Proceedings of the 7th ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
Network performance of smart mobile handhelds in a university campus WiFi network
Proceedings of the 2012 ACM conference on Internet measurement conference
Are call detail records biased for sampling human mobility?
ACM SIGMOBILE Mobile Computing and Communications Review
A measurement of mobile traffic offloading
PAM'13 Proceedings of the 14th international conference on Passive and Active Measurement
A glance at an overlooked part of the world wide web
Proceedings of the 22nd international conference on World Wide Web companion
Understanding the super-sized traffic of the super bowl
Proceedings of the 2013 conference on Internet measurement conference
Leveraging diversity to optimize performance in mobile networks
Proceedings of the 2013 workshop on Student workhop
Efficient location aware intrusion detection to protect mobile devices
Personal and Ubiquitous Computing
Hi-index | 0.00 |
Characterizing the relationship that exists between people's application interests and mobility properties is the core question relevant for location-based services, in particular those that facilitate serendipitous discovery of people, businesses and objects. In this paper, we apply rule mining and spectral clustering to study this relationship for a population of over 280,000 users of a 3G mobile network in a large metropolitan area. Our analysis reveals that (i) People's movement patterns are correlated with the applications they access, e.g., stationary users and those who move more often and visit more locations tend to access different applications. (ii) Location affects the applications accessed by users, i.e., at certain locations, users are more likely to evince interest in a particular class of applications than others irrespective of the time of day. (iii) Finally, the number of serendipitous meetings between users of similar cyber interest is larger in regions with higher density of hotspots. Our analysis demonstrates how cellular network providers and location-based services can benefit from knowledge of the inter-play between users and their locations and interests.