Our most recent publications:

  1. Ratti C., Sobolevsky S., Calabrese F., Andris C., Reades J., Martino M., Claxton R., Strogatz S. H. (2010)journal.pone.0014248.g001
    Redrawing the map of Great Britain from a network of human interactions. PLoS ONE, Vol.12(5), e14248
  2. Santi, P., Resta, G., Szell, M., Sobolevsky, S., Strogatz, S. H., & Ratti, C. (2014). Quantifying the benefits of vehicle pooling with shareability networks. Proceedings of the National Academy of Sciences (PNAS), 111 (37): 201403657, http://www.pnas.org/content/early/2014/08/27/1403657111.short
  3. Sobolevsky, S., Campari, R., Belyi, A., & Ratti, C. (2014). A general optimization technique for high quality community detection in complex networks. Phys. Rev. E 90 (1), 012811 http://link.aps.org/doi/10.1103/PhysRevE.90.012811
  4. Sobolevsky S., Szell M., Campari R., Couronne T., Smoreda Z., Ratti C. (2013) Delineating geographical regions with networks of human interactions in an extensive set of countries. PLoS ONE 8 (12), e81707 http://www.plosone.org/article/info:doi/10.1371/journal.pone.0081707
  5. Kung KS, Greco K, Sobolevsky S, Ratti C (2014) Exploring Universal Patterns in Human Home-Work Commuting from Mobile Phone Data. PLoS ONE 9(6): e96180. doi:10.1371/journal.pone.0096180. http://www.plosone.org/article/info:doi/10.1371/journal.pone.0096180
  6. Pei, T., Sobolevsky, S. (*corresp), Ratti, C., Shaw, S. L., Li, T., & Zhou, C. (2014). A new insight into land use classification based on aggregated mobile phone data. International Journal of Geographical Information Science, 28 (9): 1-20. http://www.tandfonline.com/doi/abs/10.1080/13658816.2014.913794#.VC9NTkITB08
  7. Amini, A., Kung, K., Kang, C., Sobolevsky, (*corresp.), & Ratti, C. (2014). The impact of social segregation on human mobility in developing and industrialized regions. EPJ Data Science, 3(1), 6. http://www.epjdatascience.com/content/3/1/6/abstract
  8. Hawelka, B., Sitko, I., Beinat, E., Sobolevsky, S., Kazakopoulos, P., & Ratti, C. (2014). Geo-located Twitter as proxy for global mobility patterns. Cartography and Geographic Information Science, 41(3), 260-271. http://www.tandfonline.com/doi/abs/10.1080/15230406.2014.890072#.VDBNPUITB08
  9. Hoteit, S., Secci, S., Sobolevsky, S., Ratti, C., & Pujolle, G. (2014). Estimating human trajectories and hotspots through mobile phone data. Computer Networks, 64, 296-307. http://www.sciencedirect.com/science/article/pii/S1389128614000656
  10. Yoshimura Y, Sobolevsky S, Ratti C, Girardin F, Carrascal J P, Blat J, Sinatra R, 2014, “An analysis of visitors’ behavior in The Louvre Museum: a study using Bluetooth data” Environment and Planning B: Planning and Design 41(6) 1113 – 1131, doi:10.1068/b130047p http://envplan.com/abstract.cgi?id=b130047p
  11. Pei, Tao, Stanislav Sobolevsky, Carlo Ratti, Alexander Amini, and Chenghu Zhou. “Uncovering the Directional Heterogeneity of an Aggregated Mobile Phone Network.” Transactions in GIS 18, no. S1 (2014): 126-142.
  12. Kang, C., Sobolevsky, S., Liu, Y., & Ratti, C. (2013, August). Exploring human movements in Singapore: A comparative analysis based on mobile phone and taxicab usages. In Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing (p. 1). ACM. http://dl.acm.org/citation.cfm?id=2505826
  13. Sobolevsky, S. et al. (2014) Mining Urban Performance: Scale-Independent Classification of Cities Based on Individual Economic Transactions. ASE BigDataScience 2014 (Stanford, CA) http://ase360.org/handle/123456789/48, http://arxiv.org/abs/1405.4301.
  14. Sobolevsky, S. et al., (2014). Money on the Move: Big Data of Bank Card Transactions as the New Proxy for Human Mobility Patterns and Regional Delineation. The Case of Residents and Foreign Visitors in Spain. 2014 IEEE International Congress on Big Data (Anchorage, AK) http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6906771&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6906771
  15. Grauwin, S., Sobolevsky, S., Moritz, S., Gódor, I., & Ratti, C. (2015). Towards a Comparative Science of Cities: Using Mobile Traffic Records in New York, London, and Hong Kong. In Computational Approaches for Urban Environments (pp. 363-387). Springer International Publishing. http://link.springer.com/chapter/10.1007/978-3-319-11469-9_15
  16. Paldino, S., Bojic, I., Sobolevsky, S. (*corresp.), Ratti, C., & González, M. C. (2015). Urban magnetism through the lens of geo-tagged photography. EPJ Data Science, 4(1), 1-17. https://link.springer.com/article/10.1140/epjds/s13688-015-0043-3
  17. Paldino, S., Kondor, D., Bojic, I., Sobolevsky, S., González, M. C., & Ratti, C. (2016). Uncovering urban temporal patterns from geo-tagged photography. PloS one, 11(12), e0165753. http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0165753
  18. Yoshimura, Y., Sobolevsky, S., Bautista Hobin, J. N., Ratti, C., & Blat, J. (2016). Urban association rules: uncovering linked trips for shopping behavior. Environment and Planning B: Planning and Design, 0265813516676487. http://journals.sagepub.com/doi/abs/10.1177/0265813516676487
  19. Sobolevsky, S., Sitko, I., Combes, R. T. D., Hawelka, B., Arias, J. M., & Ratti, C. (2016). Cities through the Prism of People’s Spending Behavior. PloS one, 11(2): e0146291 http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0146291
  20. Tachet, R., Santi, P., Sobolevsky, S., Reyes-Castro, L. I., Frazzoli, E., Helbing, D., & Ratti, C. (2016). Revisiting street intersections using slot-based systems. PloS one, 11(3), e0149607. http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0149607
  21. Bojic, I., Belyi, A., Ratti, C., & Sobolevsky, S. (2016). Scaling of foreign attractiveness for countries and states. Applied Geography, 73, 47-52. http://www.sciencedirect.com/science/article/pii/S0143622816301370
  22. Yoshimura, Y., Amini, A., Sobolevsky, S., Blat, J., & Ratti, C. (2017). Analysis of pedestrian behaviors through non-invasive Bluetooth monitoring. Applied geography, 81, 43-51. http://www.sciencedirect.com/science/article/pii/S014362281730125X
  23. Kats, P., Qian, C., Kontokosta, C., & Sobolevsky, S. (2017). Twitter Activity Timeline as a Signature of Urban Neighborhood. arXiv preprint arXiv:1707.06122. https://arxiv.org/abs/1707.06122
  24. Kondor, D., Grauwin, S., Kallus, Z., Gódor, I., Sobolevsky, S., & Ratti, C. (2017). Prediction limits of mobile phone activity modelling. Royal Society Open Science, 4(2), 160900.
  25. Grauwin, S., Szell, M., Sobolevsky, S. (*corresp.), Hövel, P., Simini, F., Vanhoof, M., Smoreda, Z., Barabási, A.L. & Ratti, C. (2017). Identifying and modeling the structural discontinuities of human interactions. Scientific Reports, 7. https://www.nature.com/articles/srep46677
  26. Wang L, Qian C, Kats P, Kontokosta C, Sobolevsky, S. (*corresp.) (2017) Structure of 311 service requests as a signature of urban location. PloS ONE. 12(10), e0186314. http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0186314
  27. Hashemian B., Massaro E., Bojic I., Murillo Arias J., Sobolevsky S., Ratti C. (2017) Socioeconomic characterization of regions through the lens of individual financial transactions. PLoS ONE 12(11): e0187031. http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0187031
  28. Sobolevsky, S., Belyi, A., & Ratti, C. (2017). Optimality Of Community Structure In Complex Networks. Presented At NetSci’2018, ICCS’2018. arXiv preprint arXiv:1712.05110
  29. Sobolevsky, S. (2017). Inferring hierarchical structure of spatial and generic complex networks through a modeling framework. https://arxiv.org/abs/1712.05792 Presented At NetSci’2018, ICCS’2018.
  30. Dashdorj, Z., Sobolevsky, S., Lee, S., & Ratti, C. (2018). Deriving human activity from geo-located data by ontological and statistical reasoning. Knowledge-Based Systems, 143, 225-235. https://www.sciencedirect.com/science/article/pii/S0950705117305701
  31. Yoshimura, Y., Sobolevsky, S., Bautista Hobin, J. N., Ratti, C., & Blat, J. (2018). Urban association rules: uncovering linked trips for shopping behavior. Environment and Planning B: Urban Analytics and City Science, 45(2), 367-385. https://journals.sagepub.com/doi/abs/10.1177/0265813516676487
  32. Zhu, E., & Sobolevsky, S. (2018). House Price Modeling with Digital Census. https://arxiv.org/abs/1809.03834
  33. Zhu, E., Khan, M., Kats, P., Bamne, S. S., & Sobolevsky, S. (2018). Digital Urban Sensing: A Multi-layered Approach. https://arxiv.org/abs/1809.01280
  34. Sobolevsky, S., Levitskaya, E., Chan, H., Postle, M., & Kontokosta, C. (2018). Impact Of Bike Sharing In New York City. arXiv preprint arXiv:1808.06606.
  35. Sobolevsky, S. et. al. (2019) Anomaly detection in temporal networks. Presented at NetSci’2019, Burlington, VT
  36. Qian X., Xue J., Sobolevsky S., Yang C., Ukkusuri S. Stationary Spatial Charging Demand Distribution for Commercial Electric Vehicles in Urban Area. To be presented at 2019 IEEE Intelligent Transportation Systems Society Conference, Auckland, New Zealand