The LDCC and MDC datasets have been used in a number of publications on analysis of human behavior of individuals and human networks. Below is an up-to-date list of publications relating to the LDCC and MDC data sets.

Papers by MDC team

T. Do, O. Dousse, M. Miettinen, and D. Gatica-Perez.
A Probabilistic Kernel Method for Human Mobility Prediction with Smartphones Pervasive and Mobile Computing.
published online Sep. 2014, Vol. 20, pp. 13-28, Jul. 2015.

T.B. Nguyen, T.C. Nguyen, W. Luo, S. Venkatesh, and D. Phung
Unsupervised Inference of Significant Locations from WiFi Data for Understanding Human Dynamics.
In 13th International Conference on Mobile and Ubiquitous Multimedia(MUM), pp. 232-235, ACM, 2014.

J. K. Laurila, D. Gatica-Perez, I. Aad, J. Blom, O. Bornet, T. Do, O. Dousse, J. Eberle, and M. Miettinen.
From Big Smartphone Data to Worldwide Research: The Mobile Data Challenge.
Pervasive and Mobile Computing, Special Issue on the Mobile Data Challenge, published online Aug. 2013.

E. Malmi, T. Do, and D. Gatica-Perez
From Foursquare to my Square: Learning Check-in Behavior from Multiple Sources.
in Proc. AAAI Int. Conf. on Weblogs and Social Media (ICWSM), Boston, Jul. 2013.

T. Do and D. Gatica-Perez.
Where and What: Using Smartphones to Predict Next Locations and Applications in Daily Life.
Pervasive and Mobile Computing, published online Apr. 2013.

T. Do and D. Gatica-Perez.
The Places of Our Lives: Visiting Patterns and Automatic Labeling from Longitudinal Smartphone Data.
IEEE Trans. on Mobile Computing, published online Feb. 2013 .

K. Farrahi and D. Gatica-Perez.
A Probabilistic Approach to Mining Mobile Phone Data Sequences.
Personal and Ubiquitous Computing, published online Feb. 2013.

K. Farrahi and D. Gatica-Perez.
Extracting Mobile Behavioral Patterns with the Distant N-Gram Topic Model.
in Proc. IEEE Int. Symp. on Wearable Computers (ISWC), Newcastle, Jun. 2012.

Eric Malmi,Trinh-Minh-Tri Do and Daniel Gatica-Perez.
Checking In or Checked In: Comparing Large-Scale Manual and Automatic Location Disclosure Patterns.
Proc. Int. Con. on Mobile and Ubiquitous Multimedia (MUM), Ulm, Germany, 2012.

Trinh-Minh-Tri Do and Daniel Gatica-Perez.
Contextual Conditional Models for Smartphone-based Human Mobility Prediction.
Proc. Int. Conf. on Ubiquitous Computing (Ubicomp), 2012.

R. Montoliu, J. Blom, D. Gatica-Perez.
Discovering Places of Interest in Everyday Life from Smartphone Data.
Multimedia Tools and Applications. Published online January 2012, Vol. 62, No. 1, pp. 179-207, Jan. 2013.

G. Chittaranjan, J. Blom, and D. Gatica-Perez.
Mining Large-Scale Smartphone Data for Personality Studies.
Personal and Ubiquitous Computing. Published online Dec 2011.

Trinh-Minh-Tri Do and Daniel Gatica-Perez.
Human Interaction Discovery in Smartphone Proximity Networks.
Personal and Ubiquitous Computing. Published online Dec 2011.

Trinh-Minh-Tri Do and Daniel Gatica-Perez.
GroupUs: Smart Phone Proximity Data and Human Interaction Mining.
Proc. Int. Sym. on Wearable Computers (ISWC), San Francisco, 2011.

Chittaranjan, G., Blom, J., and Gatica-Perez, D.,
Who's who with Big-Five: Analyzing and Classifying Personality.
Proc. Int. Sym. on Wearable Computers (ISWC), San Francisco, 2011.

Trinh-Minh-Tri Do and Daniel Gatica-Perez.
Discovering Real Life Interaction Types from Longitudinal Proximity Data.
Proc. Int. Conf. on Mobile Data Management (MDM), Jun. 2011.

T. Do, J. Blom, and D. Gatica-Perez.
Smartphone Usage in the Wild: A Large-Scale Study of Applications and Context.
Proc. ACM Int. Conf. on Multimodal Interaction (ICMI), Alicante, Nov. 2011.

D. Basin, M. Harvan, F. Klaedtke, and E. Zalinescu.
Monitoring Usage-control Policies in Distributed Systems.
Proc. of the 18th International Symposium on Temporal Representation and Reasoning (TIME), 12-14 September, 2011, Lübeck, Germany.

D. Biswas, N. Nefedov, V. Niemi.
Distributed Usage Control.
Proc. of 8th International Conference on Mobile Web Information Systems (MobiWIS), 19-21 Sep, 2011, Ontario, Canada.

X. Dong, P. Frossard, P. Vandergheynst and N. Nefedov,
A Regularization framework for mobile social network analysis.
Proc. ICASSP 2011, Prague, May 25-27, 2011.

Nefedov N.,
Multiple-Membership Communities Detection in Mobile Networks,
In Proc. WIMS 2011, Norway, May 25-27, 2011.

Blom, J., Gatica-Perez, D., and Kiukkonen, N.,
People-Centric Mobile Sensing with a Pragmatic Twist: from Behavioral Data Points to Active User Involvement.
Proc. of the 13th international conference on human computer interaction with mobile devices and services (MobileHCI'11), Stockholm, Aug. 2011.

Kim, T., Blom, J., and Stasko, J.,
Exploring complex mobile life through lightweight visual analytic tools.
Proc. of the 2nd international workshop on visual analytics (EuroVA), Bergen, May 2011.

N. Kiukkonen, J. Blom, O. Dousse, D. Gatica-Perez, and J. Laurila,
Towards Rich Mobile Phone Datasets: Lausanne Data Collection Campaign.
Proc. ACM Int. Conf. on Pervasive Services (ICPS), Berlin, Jul. 2010.

I. Aad, V. Niemi,
NRC Data Collection and the Privacy by Design Principle.
Proc. of PhoneSense 2010.

Do, T., and Gatica-Perez, D.
By Their Apps You Shall Understand Them: Mining Large-scale Patterns of Mobile Phone Usage.
Proc. MUM, Dec. 2010.

Montoliu, R., Gatica-Perez, D.
Discovering Human Places of Interest from Multimodal Mobile Phone Data.
Proc. Int. Conf. on Mobile and Ubiquitous Multimedia (MUM), Dec. 2010.

MDC 2012 - overview paper

J. K. Laurila, Daniel Gatica-Perez, I. Aad, Blom J., Olivier Bornet, Trinh-Minh-Tri Do, O. Dousse, J. Eberle and M. Miettinen.
The Mobile Data Challenge: Big Data for Mobile Computing Research.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

MDC 2012 - Open track papers

Jordan Frank, Shie Mannor, Doina Precup, McGill University.
Generating storylines from sensor data.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Aidan Slingsby, Roger Beecham, Jo Wood, City University London.
Visual analysis of social networks in space and time.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

André Skupin, Harvey J. Miller, San Diego State University.
Nokia MDC Atlas: An Exploration of Mobile Phone Users, Land Cover, Time, and Space.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Manlio De Domenico, Antonio Lima, Mirco Musolesi, University of Birmingham.
Interdependence and Predictability of Human Mobility and Social Interactions.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Mattia Gustarini, Katarzyna Wac, University of Geneva.
Estimating People Perception of Intimacy in Daily Life from Context Data Collected with Their Mobile Phone.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

James McInerney, Sebastian Stein, Alex Rogers, Nicholas R. Jennings, University of Southampton.
Exploring Periods of Low Predictability in Daily Life Mobility.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Aarti Munjal, Thyago Mota, Tracy Camp, Colorado School of Mines.
Exploring Social Interactions via Multi-Modal Learning.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Xiuchao Wu, Kenneth N. Brown, Cormac J. Sreenan.
Analysis of Smart Phone User Mobility Traces for Opportunistic Data Collection.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Zhiyu Wang, Mario A. Nascimento, M.H. MacGregor.
On the Analysis of Periodic Mobility Behaviour.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Barbara Keller, Philippe von Bergen, Samuel Welten.
On the Feasibility of Opportunistic Ad Hoc Music Sharing.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Marko Niinimäki and Tapio Niemi.
Where Do People Go When It Rains?
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Stefan Michaelis, Nico Piatkowski, Katharina Morik.
Predicting next network cell IDs for moving users with Discriminative and Generative Models.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Chang Tan, Qi Liu, Enhong Chen, Hui Xiong.
Prediction for Mobile Application Usage Patterns.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Fabian Hartmann, Christoph P. Mayer, Ingmar Baumgart.
MobReduce: Reducing State Complexity of Mobility Traces.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Agzam Idrissov, Mario A. Nascimento.
A Trajectory Cleaning Framework for Trajectory Clustering.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Sokratis Barmpounakis, Katarzyna Wac.
Deriving Connectivity and Application Usage Patterns From Longitudinal Mobile Phone Usage Data.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Benjamin Höferlin, Markus Höferlin, Jürgen Räuchle.
Visual Analytics of Mobile Data.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Sebastian VanSyckel, Dominik Schäfer, Gregor Schiele, Christian Becker.
Evaluation of an Epidemic Information Distribution Scheme in Mobile Ad-hoc Networks.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Daniel Schulz, Sebastian Bothe, Christine Körner.
Human Mobility from GSM Data - A Valid Alternative to GPS?
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Syed Agha Muhammad, Kristof Van Laerhoven.
Discovery of User Groups within Mobile Data.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Rory McGrath, Cathal Coffey, Alexei Pozdnoukhov.
Habitualisation: localisation without location data.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

MDC 2012 - Dedicated track papers

Raul Montoliu, Adolfo Martínez-Uso, Jose Martínez-Sotoca.
Semantic Place Prediction by Combining Smart Binary Classifiers.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Yin Zhu, Erheng Zhong, Bin Wu.
Feature Engineering for Place Category Classification.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Chi-Min Huang, Josh Jia-Ching Ying, Vincent S. Tseng.
Mining Users’ Behavior and Environment for Semantic Place Prediction.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Huiji Gao, Jiliang Tang, Huan Liu.
Mobile Location Prediction in Spatio-Temporal Context.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Jingjing Wang, Bhaskar Prabhala.
Periodicity Based Next Place Prediction.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Vincent Etter, Mohamed Kafsi, Ehsan Kazemi.
Been There, Done That: What your Mobility Traces Reveal about your Behavior.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Sanja Brdar, Dubravko Ćulibrk, Vladimir Crnojević.
Demographic Attributes Prediction on the Real-World Mobile Data.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Kaixiang Mo, Ben Tan, Erheng Zhong.
Your Phone Understands You.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Josh Jia-Ching Ying, Yao-Jen Chang, Vincent S. Tseng.
Demographic prediction based on user’s mobile behavior.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Yohan Chon, Yungeun Kim, Hyojeong Shin, Hojung Cha.
Topic Modeling-based Semantic Annotation of Place using Personal Behavior and Environmental Features.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Ying Zhu, Yong Sun, Yu Wang.
Predicting Semantic Place and Next Place via Mobile Data.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Abson Sae-Tang, Michele Catasta, Luke K. McDowell.
Report on Dedicated Task 1: Semantic Place Prediction.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Le T. Nguyen, Heng-Tze Cheng, Pang Wu, Senaka Buthpitiya, and Ying Zhang.
PnLUM : System for Prediction of Next Location for Users with Mobility.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Le-Hung Tran, Michele Catasta, Luke K. McDowell.
Report on Dedicated Task 2: Next Place Prediction.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Zhongqi Lu, Yin Zhu, Vincent Zheng.
Next Place Prediction with Powered Transition Matrices.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

Shahram Mohrehkesh, Shuiwang Ji, Tamer Nadeem, Michele C. Weigle.
Demographic Prediction of Mobile User from Phone Usage.
Proc. Mobile Data Challenge Workshop (MDC) in conjunction with Pervasive, Newcastle, 2012.

MDC-related papers

2017

E.S. Lohan, P. Figueiredo e Silva.
User traces analysis based on crowdsourced data.
in Proc of IWCMC 2017 conference, June 2017, in Valencia, Spain.

2016

Matthias Schwamborn, Nils Aschenbruck.
Towards an Extensive Map-oriented Trace Basis for Human Mobility Modeling.
In Proc. IEEE International Performance Computing and Communications Conference, Dec. 2016.

Paul Baumann, Anind K. Dey, Marc Langheinrich, and Silvia Santini.
Quantifying the Uncertainty of Next-Place Predictions.
in Proc. MobiCASE, Cambridge, Nov. 2016.

D. Stynes, K.N. Brown and C.J. Sreenan.
A Probabilistic Approach to User Mobility Prediction for Wireless Services.
Proc. of 12th International Wireless Communications & Mobile Computing Conference IWCMC 2016, September, 2016.

Khayyat, Z., Lucia, W., Singh, M. et al.
Fast and scalable inequality joins.
The VLDB Journal (2016).

Delphine Reinhardt, Ilya Manyugin.
OP4: An OPPortunistic Privacy-Preserving Scheme for Crowdsensing Applications.
IEEE LCN 2016.

Alasdair Thomason, Nathan Griffiths, Victor Sanchez.
Identifying Locations from Geospatial Trajectories.
In: Journal of Computer and System Sciences, Vol 82, Issue 4, Pages 566-581. Elsevier, 2016 (doi: 10.1016/j.jcss.2015.10.005).

Basma Alharbi, Abdulhakim A Qahtan, Xiangliang Zhang,
"Minimizing User Involvement for Learning Human Mobility Patterns from Location Traces".
Accepted by the 30th AAAI Conference on Artificial Intelligence (AAAI 2016), Phoenix, Arizona, February 12-17, 2016.

2015

Alasdair Thomason, Nathan Griffiths, Victor Sanchez.
Parameter Optimisation for Location Extraction and Prediction Applications,
In Proceedings of the 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, Pages 2173-2180. October 26-28 2015. Liverpool, UK.

Baratchi, M.
(2015) Latitude, longitude, and beyond: mining mobile objects' behavior.
PhD thesis, University of Twente. CTIT Ph.D.-thesis series No. 15-366 ISBN 978-90-365-3892-3

I. Tsompanidis, A. Zahran, C.J. Sreenan.
A Utility-based Resource and Network Assignment Framework for Heterogeneous Mobile Networks.
Proc. of IEEE Global Communications Conference, December 2015.

Z. Zhao Inst. of Comput. Sci. & Appl. Math., Univ. of Bern, Bern, Switzerland; M. Karimzadeh ; T. Braun ; A. Pras ; H. van den Berg.
A demonstration of mobility prediction as a service in cloudified LTE networks, IEEE CloudNet'15.
Cloud Networking (CloudNet), 2015 IEEE 4th International Conference on 5-7 Oct. 2015.

M. Karimzadeh Univ. of Twente, Enschede, Netherlands; Z. Zhao ; L. Hendriks ; R. de O. Schmidt ; S. la Fleur ; H. van den Berg ; A. Pras ; T. Braun ; M. J. Corici .
Mobility and bandwidth prediction as a service in virtualized LTE systems, IEEE CloudNet'15.
Cloud Networking (CloudNet), 2015 IEEE 4th International Conference on 5-7 Oct. 2015.

X. Wu, K.N. Brown, C.J. Sreenan.
Contact Probing Mechanisms for Opportunistic Sensor Data Collection.
The Computer Journal, 58 (8), pp1792-1810, July 2015.

C. Chaparro and W. Eberle,
"Detecting Anomalies in Mobile Telecommunication Networks Using a Graph Based Approach,"
International Conference of the Florida AI Research Society (FLAIRS), May 2015.

2014

Shahbaz Hussain Baloch.
Analysis of user mobility models based on outdoor measurement data and literature surveys.
M.Sc. thesis, Tampere University of Technology, December 2014.

Alejandro Rivero-Rodriguez, Helena Leppäkoski, and Robert Piché.
Semantic labeling of places based on phone usage features using supervised learning.
In International Conference and Exhibition on Ubiquitous Positioning, Indoor Navigation and Location-Based Service (UPINLBS), Corpus Christi, Texas, USA, Nov 20-21 2014.

X. Wu, K. Brown, C.J. Sreenan.
Data Pre-Forwarding for Opportunistic Data Collection in Wireless Sensor Networks.
ACM Transactions on Sensor Networks (TOSN), Volume 11 Issue 1, September 2014.

2013

X. Wu, K.N. Brown, C.J. Sreenan.
Analysis of Smartphone User Mobility Traces for Opportunistic Data Collection in Wireless Sensor Networks.
Elsevier Journal on Pervasive and Mobile Computing, 9(6):881-891, Dec. 2013.

Wilhelm Kleiminger, Christian Beckel, Anind Dey, Silvia Santini.
Using Unlabeled Wi-Fi Scan Data to Discover Occupancy Patterns of Private Households.
Proc. ACM Conf. on Embedded Netowrked Sensor Systems (SenSys), 2013.

Wilhelm Kleiminger, Christian Beckel, Anind Dey and Silvia Santini.
Inferring Household Occupancy Patterns from Unlabelled Sensor Data.
Technical Report No. 795, ETH Zurich, 2013.

Jaeseong Jeong, Joohyun Lee, Yeongjin Kim, Jae Woong Lee† and Song Chong.
Impact of Surrounding Information on Wi-Fi Sensing Efficiency.
Proc. Int. Conf. on ICT Convergence (ICTC), 2013.

Paul Baumann, Wilhelm Kleiminger, Silvia Santini.
How Long Are You Staying? How Long Are You Staying? Predicting Residence Time from Human Mobility Traces.
Proc. Int. Conf. on Mobile computing and Networking (MobiCom), 2013.

Behrooz Omidvar Tehrani, Sihem Amer-Yahia,Alexandre Termier, Aurelie Bertaux , Eric Gaussier,Marie-Christine Rousset.
Towards a Framework for Semantic Exploration of Frequent Patterns.
Proc. Workshop on Information Management in Mobile Applications in conjunction with VLDB 2013.

João Bártolo Gomes, Clifton Phua, Shonali Krishnaswamy.
Where will you go? Mobile Data Mining for Next Place Prediction.
Data Warehousing and Knowledge Discovery, Springer, 2013.

Paul Baumann, Wilhelm Kleiminger, Silvia Santini.
The Influence of Temporal and Spatial Features on the Performance of Next-place Prediction Algorithms.
Proc. Int. Jnt. Conf. on Pervasive and Ubiquitous Computing (UbiComp), 2013.

Aleksandar Antoni, Ivana Podnar Zarko,Domagoj Jakobovi.
Inferring Presence Status on Smartphones: The Big Data Perspective.
Proc. Symposium on Computers and Communications (ISCC), 2013.

Peng Dai, Wanqing Yang, and Shen-Shyang Ho.
Predicting Mobile Call Behavior via Subspace Methods.
Social Computing, Behavioral-Cultural Modeling and Prediction, Springer, 2013.

2012

Shen-Shyang Ho.
Mining Multivariate Spatiotemporal Patterns from Heterogeneous Mobility Data.
Proc. Int. Conf. on Advances in Geographic Information Systems (GIS), 2012.

Michal Ficek, Nathaniel Clark, Lukáš Kencl.
Can Crowdsensing Beat Dynamic Cell-ID?
Proc. Workshop on Sensing Applications on Mobile Phones, 2012.