Advancing Scientific Knowledge

Publications

2026

📄 FastODT: A tree-based framework for efficient continual learning
👤 Daniel Bretsko, Piotr Walas, Devashish Khulbe, Sebastian Stros, Stanislav Sobolevsky, Tomas Satura
🏢 arXiv preprint arXiv:2603.13276

2025

📄 Natural language interface for urban network analytics
👤 Yuri Bogomolov, Daniel Bretsko, Swam Pyae Paing, Stanislav Sobolevsky
🏢 Computational Urban Science

📄 Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models
👤 Devashish Khulbe, Alexander Belyi, Stanislav Sobolevsky
🏢 MDPI Smart Cities

📄 Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities
👤 Devashish Khulbe, Stanislav Sobolevsky
🏢 PLOS Complex Systems

2024

📄 Cities Reconceptualized: Unveiling Hidden Uniform Urban Shape through Commute Flow Modeling in Major US Cities
👤 Margarita Mishina, Mingyi He, Venu Garikapati, Stanislav Sobolevsky
🏢 arXiv preprint arXiv:2411.05455

📄 Gravattn: a spatially transferable gravity model for trip distribution
👤 Mingyi He, Mingdong Lyu, Bingrong Sun, Alexander Belyi, Stanislav Sobolevsky, Venu Garikapati
🏢 Available at SSRN 5013948

📄 Distance deterrence comparison in urban commute among different socioeconomic groups: A normalized linear piece-wise gravity model
👤 Mingyi He, Yuri Bogomolov, Devashish Khulbe, Stanislav Sobolevsky
🏢 Journal of Transport Geography

📄 Urban delineation through a prism of intraday commute patterns
👤 Yuri Bogomolov, Alexander Belyi, Stanislav Sobolevsky
🏢 Frontiers in Big Data

📄 Towards Urban Accessibility: Modeling Trip Distribution to Assess the Provision of Social Facilities
👤 Margarita Mishina, Sergey Mityagin, Alexander Belyi, Alexander Khrulkov, Stanislav Sobolevsky
🏢 Smart Cities

2023

📄 Prediction of Urban Population-Facilities Interactions with Graph Neural Network
👤 Margarita Mishina, Stanislav Sobolevsky, Elizaveta Kovtun, Alexander Khrulkov, Alexander Belyi, Semen Budennyy, Sergey Mityagin
🏢 Lecture Notes in Computer Science

📄 Mobility Networks as a Predictor of Socioeconomic Status in Urban Systems
👤 Devashish Khulbe, Alexander Belyi, Ondrej Mikes, Stanislav Sobolevsky
🏢 International Conference on Computational Science and Its Applications

📄 Deep Learning Attention Model for Supervised and Unsupervised Network Community Detection
👤 Sobolevsky Stanislav
🏢 International Conference on Computational Science 2023

📄 A Probabilistic Simulation Framework to Assess the Impacts of Ridesharing and Congestion Charging in New York City
👤 Devashish Khulbe, Chaogui Kang, Satish Ukkusuri, Stanislav Sobolevsky
🏢 Data Science for Transportation

📄 Urban Zoning Using Intraday Mobile Phone-Based Commuter Patterns in the City of Brno
👤 Yuri Bogomolov, Alexander Belyi, Ondřej Mikeš, Stanislav Sobolevsky
🏢 Computational Science and Its Applications

📄 Comparative Analysis of Community Detection and Transformer-Based Approaches for Topic Clustering of Scientific Papers
👤 Daniel Bretsko, Alexander Belyi, Stanislav Sobolevsky
🏢 International Conference on Computational Science and Its Applications

📄 Distance deterrence comparison in urban commute among different socioeconomic groups: A normalized linear piece-wise gravity model
👤 Mingyi He, Yuri Bogomolov, Devashish Khulbe, Stanislav Sobolevsky
🏢 Journal of Transport Geography

📄 Subnetwork constraints for tighter upper bounds and exact solution of the clique partitioning problem
👤 Alexander Belyi, Stanislav Sobolevsky, Alexander Kurbatski, Carlo Ratti
🏢 Mathematical Methods of Operations Research

2022

📄 Graph neural network inspired algorithm for unsupervised network community detection
👤 Stanislav Sobolevsky, Alexander Belyi
🏢 Applied Network Science

📄 Network Size Reduction Preserving Optimal Modularity and Clique Partition
👤 Alexander Belyi, Stanislav Sobolevsky
🏢 ICCSA 2022 - Lecture Notes in Computer Science

📄 A Scalable Spatio-Temporal Analytics Framework for Urban Networks
👤 Yuri Bogomolov, Stanislav Sobolevsky
🏢 Networks in the Global World VI

2021

📄 Hierarchical graph neural networks
👤 Sobolevsky Stanislav
🏢 arXiv preprint

2019

📄 Anomaly detection in temporal networks
👤 Sobolevsky S.
🏢 Presented at NetSci’2019, Burlington, VT

📄 Stationary Spatial Charging Demand Distribution for Commercial Electric Vehicles in Urban Area
👤 Qian X., Xue J., Sobolevsky S., Yang C., Ukkusuri S.
🏢 IEEE Intelligent Transportation Systems Society Conference

2018

📄 House Price Modeling with Digital Census
👤 Zhu E., Sobolevsky S.
🏢 arXiv preprint

📄 Digital Urban Sensing: A Multi-layered Approach
👤 Zhu E., Khan M., Kats P., Bamne S. S., Sobolevsky S.
🏢 arXiv preprint

📄 Impact Of Bike Sharing In New York City
👤 Sobolevsky S., Levitskaya E., Chan H., Postle M., Kontokosta C.
🏢 arXiv preprint

📄 Deriving human activity from geo-located data by ontological and statistical reasoning
👤 Dashdorj Z., Sobolevsky S., Lee S., Ratti C.
🏢 Knowledge-Based Systems

📄 Urban association rules: uncovering linked trips for shopping behavior
👤 Yoshimura Y., Sobolevsky S., Bautista Hobin J. N., Ratti C., Blat J.
🏢 Environment and Planning B

2017

📄 Global multi-layer network of human mobility
👤 Alexander Belyi, Iva Bojic, Stanislav Sobolevsky, Izabela Sitko, et al.
🏢 International Journal of Geographical Information Science

📄 Analysis of pedestrian behaviors through non-invasive Bluetooth monitoring
👤 Yoshimura Y., Amini A., Sobolevsky S., Blat J., Ratti C.
🏢 Applied Geography

📄 Twitter Activity Timeline as a Signature of Urban Neighborhood
👤 Sobolevsky S., Kats P., Qian C., Kontokosta C.
🏢 arXiv preprint

📄 Prediction limits of mobile phone activity modelling
👤 Kondor D., Grauwin S., Kallus Z., Gódor I., Sobolevsky S., Ratti C.
🏢 Royal Society Open Science

📄 Identifying and modeling the structural discontinuities of human interactions
👤 Grauwin S., Szell M., Sobolevsky S., Hövel P., Simini F., et al.
🏢 Scientific Reports

📄 Structure of 311 service requests as a signature of urban location
👤 Wang L., Qian C., Kats P., Kontokosta C., Sobolevsky S.
🏢 PLOS ONE

📄 Socioeconomic characterization of regions through the lens of individual financial transactions
👤 Hashemian B., Massaro E., Bojic I., Murillo Arias J., Sobolevsky S., Ratti C.
🏢 PLOS ONE

📄 Optimality Of Community Structure In Complex Networks
👤 Sobolevsky S., Belyi A., Ratti C.
🏢 Presented at NetSci’2018

📄 Inferring hierarchical structure of spatial and generic complex networks through a modeling framework
👤 Sobolevsky S.
🏢 Presented at NetSci’2018

2016

📄 Uncovering urban temporal patterns from geo-tagged photography
👤 Paldino S., Kondor D., Bojic I., Sobolevsky S., Ratti C., et al.
🏢 PLOS ONE

📄 Urban association rules: uncovering linked trips for shopping behavior
👤 Yoshimura Y., Sobolevsky S., Bautista Hobin J. N., Ratti C., Blat J.
🏢 Environment and Planning B

📄 Cities through the Prism of People’s Spending Behavior
👤 Sobolevsky S., Sitko I., Combes R. T. D., Hawelka B., Ratti C.
🏢 PLOS ONE

📄 Revisiting street intersections using slot-based systems
👤 Tachet R., Santi P., Sobolevsky S., Reyes-Castro L. I., et al.
🏢 PLOS ONE

📄 Scaling of foreign attractiveness for countries and states
👤 Sobolevsky S., Bojic I., Belyi A., Ratti C.
🏢 Applied Geography

2015

📄 Urban magnetism through the lens of geo-tagged photography
👤 Paldino S., Bojic I., Sobolevsky S., Ratti C., González M. C.
🏢 EPJ Data Science

📄 Towards a Comparative Science of Cities: Using Mobile Traffic Records in NY, London, and Hong Kong
👤 Grauwin S., Sobolevsky S., Moritz S., Gódor I., Ratti C.
🏢 Computational Approaches for Urban Environments

2014

📄 Geo-located Twitter as proxy for global mobility patterns
👤 Hawelka B., Sitko I., Beinat E., Sobolevsky S., Ratti C.
🏢 Cartography and Geographic Information Science

📄 Quantifying the benefits of vehicle pooling with shareability networks
👤 Santi P., Resta G., Szell M., Sobolevsky S., Strogatz S. H., Ratti C.
🏢 PNAS

📄 Estimating human trajectories and hotspots through mobile phone data
👤 Hoteit S., Secci S., Sobolevsky S., Ratti C., Pujolle G.
🏢 Computer Networks

📄 An analysis of visitors’ behavior in The Louvre Museum: a study using Bluetooth data
👤 Yoshimura Y., Sobolevsky S., Ratti C., Girardin F., et al.
🏢 Environment and Planning B

📄 Exploring Universal Patterns in Human Home-Work Commuting from Mobile Phone Data
👤 Sobolevsky S., Kung K., Greco K., Ratti C.
🏢 PLOS ONE

📄 Uncovering the Directional Heterogeneity of an Aggregated Mobile Phone Network
👤 Tao P., Sobolevsky S., Ratti C., Amini A., Zhou C.
🏢 Transactions in GIS

📄 A new insight into land use classification based on aggregated mobile phone data
👤 Pei T., Sobolevsky S., Ratti C., Shaw S. L., Li T., Zhou C.
🏢 International Journal of Geographical Information Science

📄 A general optimization technique for high quality community detection in complex networks
👤 Sobolevsky S., Campari R., Belyi A., Ratti C.
🏢 Physical Review E

📄 Mining Urban Performance: Scale-Independent Classification of Cities
👤 Sobolevsky S.
🏢 ASE BigDataScience 2014

📄 The impact of social segregation on human mobility in developing and industrialized regions
👤 Amini A., Kung K., Kang C., Sobolevsky S., Ratti C.
🏢 EPJ Data Science

📄 Money on the Move: Big Data of Bank Card Transactions
👤 Sobolevsky S.
🏢 IEEE International Congress on Big Data