2023NetMob 2023 - Full program
| Time | Wednesday, 4 October 2023 | Thursday, 5 October 2023 | Friday, 6 October 2023 | |||
|---|---|---|---|---|---|---|
| Talks | Talks | Poster | Talks | Poster | ||
| 08:30-09:15 | Setup | Setup | ||||
| 09:15-09:45 | Welcome | Keynote A | Keynote B | |||
| 09:45-10:15 | Session A | |||||
| 10:15-10:45 | Session H | Awards | ||||
| 10:45-11:00 | Break | Break | Break | |||
| 11:00-12:00 | Session B | Session I | Display | Session N | Display | |
| 12:00-13:00 | Session C | Session J | Session O | |||
| 13:00-14:00 | Lunch | Lunch | Lunch | |||
| 14:00-15:00 | Session D | |||||
| 15:00-16:00 | Session E | Session K | Session P | |||
| 16:00-16:15 | Break | Break | Break | |||
| 16:15-17:15 | Session F | Session L | Session Q | |||
| 17:15-18:00 | Session G | Session M | Session R | |||
Keynote A: Unintended consequences of car navigators and how route diversity can alleviate them
Thursday, 5 October 2023 | 09:15 - 10:15The proliferation of socio-technical systems involving human interaction with algorithms, such as assistants and recommenders, raises concerns about unintended large-scale social behavior. Despite evidence of such phenomena across several contexts, the collective impact of GPS navigation services remains unclear: while beneficial to the user, they can also cause chaos if too many vehicles are driven through the same route.
Our study employs a simulation framework to assess navigation services' influence on CO2 emissions and road network usage. Results show substantial impact, revealing amplified conformist behavior leading to road network inefficiency and increased emissions. To address this, we introduce diversity into routing behavior through individualistic and cooperative solutions, significantly enhancing traffic conditions and reducing CO2 emissions. This study illuminates the interplay between conformism and diversity, offering insights into strategies for more balanced societal outcomes.
Luca Pappalardo is a senior researcher at the Institute of Information Science and Technologies (ISTI) of the National Research Council of Italy (CNR) in Pisa. Luca is also a member of the KDD-Lab, a joint research initiative of the University of Pisa, the Italian National Research Council (CNR), and Scuola Normale Superiore of Pisa. Luca's research focuses on computational social science and the impact of AI on society (Social AI), with a particular focus on human mobility, urban sustainability and spatial fairness. Luca is also part of SoBigData.eu, the European H2020 Research Infrastructure “Big Data Analytics and Social Mining Ecosystem”, in which he is responsible for coordinating the research that is conducted within the infrastructure.
Keynote B: Unraveling the interplay of the Urban form and Mobility Science for Planning Cities
Friday, 6 October 2023 | 09:15 - 10:15Predictive models for human mobility have important applications in many fields including traffic control, ubiquitous computing, and urban planning. The predictive performance of models in the literature varies quite broadly, from over 90% to under 40%. In the first part of my talk, I review the role of data and mobility metrics in the accuracy of mobility predictions. We reveal that the exploration of new locations is an important factor in human mobility, and we measure that on average 20-25% of transitions are to new places, and approx. 70% of locations are visited only once. We discuss how these mechanisms are important factors limiting our ability to predict human mobility.
In the second part, I use individual mobility metrics to measure the urban spatial structure. While it usually evolves slowly, it can change fast during large-scale emergency events, as well as due to urban renewal in rapidly developing countries. This work presents an approach to delineate such urban dynamics in quasi-real-time through a human mobility metric, the mobility centrality index. As a case study, we tracked the urban dynamics of eleven Spanish cities during the COVID-19 pandemic. Results revealed that their structures became more monocentric during the lockdown in the first wave, but kept their regular spatial structures during the second wave. To provide a more comprehensive understanding of mobility from home, we also introduce a dimensionless metric, which measures the extent of home-based travel and provides statistical insights into the transmission of COVID-19. By utilizing individual mobility data, our metrics enable the detection of changes in the urban spatial structure.
Marta C. Gonzalez is an Associate Professor of City and Regional Planning at the University of California, Berkeley, and a Physics Research faculty in the Energy Technology Area (ETA) at the Lawrence Berkeley National Laboratory (Berkeley Lab).She works in the urban science space, focusing on the intersections between people within social networks and the built and natural environments. Her goal is to design urban solutions through new technologies. To that end, she has developed tools that impact transportation research and discovered novel approaches to model human mobility and the adoption of energy technologies. Statistical physics of complex systems and network science informs her scientific approach. Gonzalez's research includes applying big data to understanding human network behavior, with applications in transportation networks, energy efficiency planning, and disease proliferation characterization.Prior to joining Berkeley, Marta worked as an Associate Professor of Civil and Environmental Engineering at MIT, a member of the Operations Research Center and the Center for Advanced Urbanism. She is a member of the scientific council of technology companies such as Gran Data, PTV and the Pecan Street Project consortium.
Session A: Local economies and poverty
Chair: Riccardo Di Clemente
Wednesday, 4 October 2023 | 09:45 - 10:451. Behavior-based dependency networks shape economic resilience of cities.
Authors: Takahiro Yabe (MIT), Bernardo Garcia Bulle Bueno (MIT), Morgan Frank (University of Pittsburgh), Alex Pentland (MIT), Esteban Moro (MIT)
2. Foot Traffic Prediction Using Graph Neural Networks.
Authors: Hasan Alp Boz (Sabanci University), Mohsen Bahrami (MIT), Massimiliano Luca (Bruno Kessler Foundation; Free University of Bolzano), Selim Balcisoy (Sabanci University), Alex Pentland (MIT)
3. Assessing the utility of mobile network operator data in geospatial models of poverty - a Ghana case study.
Authors: Christopher J Brooks (Flowminder Foundation), James Harrison (Flowminder Foundation), Omar Seidu (Ghana Statistical Service), Veronique Lefebvre (Flowminder Foundation)
Session B: Urban landscapes
Chair: Neave O'Clery
Wednesday, 4 October 2023 | 11:00 - 12:001. The 15-minute City Quantified Using Human Mobility Data.
Authors: Arianna Salazar-Miranda (Massachusetts Institute of Technology)
2. Neighborhood Detection from Mobility Data.
Authors: Gergő Pintér (Corvinus University of Budapest), Balázs Lengyel (Corvinus University of Budapest)
3. A Comprehensive Study of Mobile Service Demands at Indoor Cellular Networks.
Authors: Stefanos Bakirtzis (Ranplan Wireless Network Design Ltd., University of Cambridge), André Felipe Zanella (IMDEA Networks, Universidad Carlos III de Madrid (U3CM)), Stefania Rubrichi (Orange Innovation), Cezary Ziemlicki (Orange Innovation), Zbigniew Smoreda (Orange Innovation), Ian Wassell (University of Cambridge), Jie Zhang (Ranplan Wireless Network Design Ltd., University of Sheffield), Marco Fiore (IMDEA Networks Institute)
Session C: Urban inequalities
Chair: Neave O'Clery
Wednesday, 4 October 2023 | 12:00 - 13:001. A methodology for studying social contact: application to the analysis of socio-economic segregation in the Madrid region.
Authors: Oriol Garcia-Llopis (Nommon Solutions and Technologies), Raquel Sanchez-Cauce (Nommon Solutions and Technologies), Miguel Picornell (Nommon Solutions and Technologies), Oliva Cantú Ros (Nommon Solutions and Technologies), Ricardo Herranz (Nommon Solutions and Technologies)
2. Time-dinamic of income segregation at neighborhoods scale.
Authors: Lavinia Rossi Mori (Centro Ricerche Enrico Fermi), Vittorio Loreto (”La Sapienza” Unversità di Roma), Riccardo Di Clemente (Northeastern University London)
3. Milan's Diverse Mosaic: Urbanization and Foreign Relations Shaping Ethnic Plurality.
Authors: İrem Betül Koçak (İstanbul Teknik Üniversitesi, Boğaziçi University), Oğuz Yücel (İstanbul Teknik Üniversitesi, Boğaziçi University)
4. Spatiotemporal gender differences in urban vibrancy.
Authors: Thomas Collins (University of Exeter), Riccardo Di Clemente (Northeastern University London; The Alan Turing Institute), Mario Gutierrez-Roig (University of Essex), Federico Botta (University of Exeter; The Alan Turing Institute)
Session D: Bias characterization
Chair: Iñaki Úcar
Wednesday, 4 October 2023 | 14:00 - 15:001. Representativeness Explained: Understanding Data Production Biases in Human Mobility Data.
Authors: Katinka den Nijs (IT University of Copenhagen), Elisa Omodei (Central European University), Vedran Sekara (IT University of Copenhagen)
2. The impact of apparent ‘teleports’ on the estimation of mobility from Call Detail Records (CDRs).
Authors: Robert Eyre (Flowminder Foundation), Galina Veres (Flowminder Foundation), Veronique Lefebvre (Flowminder Foundation)
3. The Distorting Lens of Human Mobility Datasets.
Authors: Riccardo Gallotti (Bruno Kessler Foundation), Davide Maniscalco (Pierre Louis Institute of Epidemiology and Public Health), Marc Barthelemy (Commissariat à l'énergie atomique et aux énergies alternatives), Manlio De Domenico (University of Padova)
4. Auditing the Fairness of Place-Based Crime Prediction Models Implemented with Deep Learning Approaches.
Authors: Saad Mohammad Abrar (University of Maryland, College Park), Naman Awasthi (University of Maryland, College Park), Jiahui Wu (University of Maryland, College Park), Enrique Frias-Martinez (Universidad Camilo Jose Cela), Vanessa Frias-Martinez (University of Maryland, College Park)
Session E: Bias correction
Chair: Iñaki Úcar
Wednesday, 4 October 2023 | 15:00 - 16:001. Tackling uncertainty in the spatial density estimation from Mobile Network Operator data.
Authors: Marco Ramljak (Ramboll)
2. Deep Learning-based Spatial Diffusion Modeling.
Authors: Orlando Eduardo Martínez-Durive (IMDEA Networks Institute), Stefanos Bakirtzis (Ranplan Wireless Network Design, University of Cambridge), Ian Wassell (University of Cambridge), Cezary Ziemlicki (SENSE / Orange Innovation), Marco Fiore (IMDEA Networks Institute)
3. Correcting measurement biases in the detection of long and short stay locations in sparse Call Detail Records (CDRs).
Authors: Galina Veres (Flowminder Foundation), Jono Gray (Flowminder Foundation), James Harrison (Flowminder Foundation), Véronique Lefebvre (Flowminder Foundation)
4. Using survey data to correct for representation biases in mobility indicators derived from mobile operator data to produce high-frequency estimates of population and internal migration.
Authors: Roland Hosner (Flowminder Foundation), Zachary Strain-Fajth (Flowminder Foundation), Véronique Lefebvre (Flowminder Foundation)
Session F: Impact of pandemics on mobility
Chair: Marton Karsai
Wednesday, 4 October 2023 | 16:15 - 17:151. Monitoring the impact of the 2020-2021 COVID-19 mobility restrictions: Flowminder CDR analysis in seven low- and middle-income countries.
Authors: James Harrison (Flowminder Foundation), Veronique Lefebvre (Flowminder Foundation), Tracey Li, Xavier Vollenweider (Flowminder Foundation), Chris Brooks (Flowminder Foundation), Jonathan Gray (Flowminder Foundation), Sophie Delaporte (Flowminder Foundation), Galina Veres (Flowminder Foundation), Robert Eyre (Flowminder Foundation), Thomas Smallwood (Flowminder Foundation), Michael Harper, Caterina Irdi (Flowminder Foundation), Wole Ademola Adewole, Omar Seidu (Ghana Statistical Service), Apphia Yuma (Flowminder Foundation), Caroline Reeves (Flowminder Foundation), Cathy Riley (Flowminder Foundation), Daniel Power (Flowminder Foundation), Linus Bengtsson (Flowminder Foundation)
2. COVID-19 is linked to changes in the time-space dimension of human mobility.
Authors: Clodomir Santana (University of Exeter), Federico Botta (University of Exeter), Hugo Barbosa (University of Exeter), Filippo Privitera (Spectus Inc), Ronaldo Menezes (University of Exeter), Riccardo Di Clemente (Northeastern University London)
3. Visitation patterns of COVID-19: POIs interactions within urban structure.
Authors: Robert Eyre (University of Bristol), Lavinia Rossi Mori (Centro Ricerche Enrico Fermi), Antonio Desiderio (Centro Ricerche Enrico Fermi), Filippo Simini (Argonne Leadership Computing Facility), Riccardo Di Clemente (Northeastern University London)
Session G: Epidemics prediction
Chair: Marton Karsai
Wednesday, 4 October 2023 | 17:15 - 18:001. Social Media Sensors to Detect Early Warnings of Influenza at Scale.
Authors: David Martín-Corral (Universidad Carlos III de Madrid), Manuel García-Herranz (UNICEF), Manuel Cebrian (Universidad Carlos III de Madrid), Esteban Moro (Massachusetts Institute of Technology)
2. Does mobility data help in regional COVID-19 case predictions?.
Authors: Saad Mohammad Abrar (University of Maryland, College Park), Naman Awasthi (University of Maryland, College Park), Daniel Smolyak (University of Maryland, College Park), Vanessa Frias-Martinez (University of Maryland, College Park)
3. Epidemic spreading dynamics under exploration and preferential return mobility.
Authors: Alfonso de Miguel Arribas (Institute for Biocomputation and Physics of Complex Systems (BIFI), University of Zaragoza, Zaragoza, 50018, Spain), Alberto Aletá (Institute for Biocomputation and Physics of Complex Systems (BIFI), University of Zaragoza, Zaragoza, 50018, Spain), Yamir Moreno (Institute for Biocomputation and Physics of Complex Systems (BIFI), University of Zaragoza, Zaragoza, 50018, Spain), Esteban Moro (Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA)
Session H: Food patterns
Chair: Federico Botta
Thursday, 5 October 2023 | 10:15 - 10:451. You are where you eat: Effect of mobile food environments on fast food visits.
Authors: Bernardo García-Bulle (MIT), Abigail Horn (USC), Brooke Bell (Yale), Mohsen Bahrami (MIT), Burcin Bozkaya (Sabanci University), Alex Sandy Pentland (MIT), Kayla De la Haye (USC), Esteban Moro (MIT)
2. A detour for snacks and beverages? A cross-sectional assessment of selective daily mobility bias in food outlet exposure along the commuting route and dietary intakes.
Authors: Lai Wei (Utrecht University), Joreintje D. Mackenbach (Amsterdam UMC), Maartje P. Poelman (Wageningen University & Research), Roel Vermeulen (Utrecht University), Marco Helbich (Utrecht University)
Session I: Mobility monitoring and characterization
Chair: Takahiro Yabe
Thursday, 5 October 2023 | 11:00 - 12:001. A methodology for monitoring travel demand in Latin American cities combining mobile network data and other demand data.
Authors: Javier Burrieza-Galan (Nommon Solutions and Technologies), Miguel Picornell Tronch (Nommon Solutions and Technologies), Ricardo Herranz (Nommon Solutions and Technologies), Ellin Ivarsson (World Bank Group), Aiga Stokenberga (World Bank Group)
2. Paths Reconstruction From Cell Phone Data Using ANN in Havana.
Authors: Alejandro Lage Castellanos (Center of Complex Systems, Havana University), Milton Garcia Borroto (Center of Complex Systems, Havana University), Orlando Eduardo Martínez Durive (IMDEA Networks Institute), Andy Rodriguez Lorenzo (Center of Complex Systems, Havana University), Daniel A. Amaro Ramos (Center of Complex Systems, Havana University)
3. Inter-city Trajectory Clustering Using Mobile Phone Records.
Authors: Alejandro Lage Castellanos (Center of Complex Systems, Havana University), Milton Garcia Borroto (Center of Complex Systems, Havana University)
4. Is it a work or leisure travel? Applying text classification to identify work-related travel on social networks.
Authors: Lucas Félix (Universidade Federal de Minas Gerais), Washington Cunha (Universidade Federal de Minas Gerais), Jussara Almeida (Universidade Federal de Minas Gerais)
Session J: Mobility modeling and prediction
Chair: Takahiro Yabe
Thursday, 5 October 2023 | 12:00 - 13:001. Mixing Individual and Collective Behaviours in Mobility Models.
Authors: Sebastiano Bontorin (Bruno Kessler Foundation; University of Trento), Riccardo Gallotti (Bruno Kessler Foundation), Luca Pappalardo (ISTI-CNR), Simone Centellegher (Bruno Kessler Foundation), Manlio De Domenico (University of Padova), Bruno Lepri (Bruno Kessler Foundation), Massimiliano Luca (Bruno Kessler Foundation; Free University of Bolzano)
2. Explaining Mobility Flows in Different Temporal Settings: City-Scale Deep Gravity.
Authors: Fátima Velásquez-Rojas (IFISC UIB/CSIC), Massimiliano Luca (Bruno Kessler Foundation), José Javier Ramasco (IFISC UIB/CSIC)
3. A methodology for studying residential migrations: application to the analysis of migrations from the Madrid region.
Authors: Raquel Sánchez-Cauce (Nommon Solutions and Technologies), Jorge Mallo Fuentes-Lojo (Nommon Solutions and Technologies), Javier Burrieza-Galán (Nommon Solutions and Technologies), Oliva Cantú Ros (Nommon Solutions and Technologies), Ricardo Herranz (Nommon Solutions and Technologies), Miguel Picornell Tronch (Nommon Solutions and Technologies), Juan Carlos García Palomares (Universidad Complutense de Madrid), Gustavo Romanillos Arroyo (Universidad Complutense de Madrid), Enrique Santiago Iglesias (Universidad Complutense de Madrid)
4. A new, easy-to-interpret and fast prediction algorithm inspired by the next-location prediction problem.
Authors: Kamil Smolak (Institute of Geodesy and Geoinformatics, Wrocław University of Environmental and Life Sciences)
Session K: Processing pipelines and frauds
Chair: Massimiliano Luca
Thursday, 5 October 2023 | 15:00 - 16:001. A processing pipeline for European official statistics: Towards standardisation of mobile network operator data processing.
Authors: Tiziana Tuoto (Istituto Nazionale di Statistica / Italian Statistical Institute - ISTAT), Matthias Offermans (Statistics Netherlands CBS), Ricardo Herranz (Nommon Solutions and Technologies), Margus Tiru (Positium), Florabela Carausu (GOPA Worldwide Consultants), Roberta Radini (Istituto Nazionale di Statistica / Italian Statistical Institute - ISTAT), Paolo Mattera (Istituto Nazionale di Statistica / Italian Statistical Institute - ISTAT), Erika Cerasti (Istituto Nazionale di Statistica / Italian Statistical Institute - ISTAT), Cristina Faricelli (Istituto Nazionale di Statistica / Italian Statistical Institute - ISTAT), Giorgia Simeoni (Istituto Nazionale di Statistica / Italian Statistical Institute - ISTAT), Gabriele Ascari (Istituto Nazionale di Statistica / Italian Statistical Institute - ISTAT), Luca Valentino (Istituto Nazionale di Statistica / Italian Statistical Institute - ISTAT), Edwin de Jonge (Statistics Netherlands CBS), Miguel Picornell (Nommon Solutions and Technologies), Villem Tonnison (Positium), Cristina Escribano (Nommon Solutions and Technologies)
2. Flowminder standards in producing mobility and population estimates from call details records in low- and middle-income countries.
Authors: Veronique Lefebvre (Flowminder Foundation), James Harrison (Flowminder Foundation), Jonathan Gray (Flowminder Foundation), Roland Hosner (Flowminder Foundation), Galina Veres (Flowminder Foundation), Chris Brooks (Flowminder Foundation), Robert Eyre (Flowminder Foundation), Thomas Smallwood (Flowminder Foundation), Romain Goldenberg (Flowminder Foundation), Zachary Strain-Fajth (Flowminder Foundation), Joachim Jellinek (Flowminder Foundation), John Roberts (Flowminder Foundation), Xavier Vollenweider (Flowminder Foundation), Cathy Riley (Flowminder Foundation), Sophie Delaporte (Flowminder Foundation), Daniel Power (Flowminder Foundation), Linus Bengtsson (Flowminder Foundation)
3. Enabling the Ghanaian National Statistics Office to produce official statistics derived from mobile operator data with applications across the public sector.
Authors: Romain Goldenberg (Flowminder Foundation), Thomas Smallwood (Flowminder Foundation), Cathy Riley (Flowminder Foundation), James Harrison (Flowminder Foundation), Richard Attandoh (Flowminder Foundation), Omar Seidu (Ghana Statistical Service), Veronique Lefebvre (Flowminder Foundation)
4. SIMBox fraud: How well can they mimic your communication behavior?.
Authors: Anne Josiane Kouam (INRIA), Aline Viana (INRIA), Alain Tchana (Grenoble INP)
Session L: Disruptive events
Chair: Yuya Shibuya
Thursday, 5 October 2023 | 16:15 - 17:151. Disruption of outdoor activities caused by wildfire smoke shapes circulation of respiratory pathogens.
Authors: Claudio Ascione (INSERM/ Sorbonne University), Beatriz Arregui Garcia (ifisc), Arianna Pera (University of Copenhagen), Davide Stocco (Politecnico di Milano), Boxuan Wang (INSERM/ Sorbonne University), Eugenio Valdano (INSERM/ Sorbonne University), Giulia Pullano (Georgetown University)
2. Re-organisation of socioeconomic networks in Sierra Leone due to external shocks.
Authors: Ludovico Napoli (Central European University), Vedran Sekara (IT University of Copenhagen), Manuel Herranz (UNICEF), Marton Karsai (Central European University)
3. Temporary migration response to climate variability - New evidence from three years of mobile phone data in Senegal.
Authors: Paul Blanchard (Trinity College Dublin), Virginie Comblon (Orange Innovation - SENSE), Flore Gubert (DIAL-IRD), Erwan Le Quentrec (Orange Innovation - SENSE), Anne-Sophie Robilliard (DIAL-IRD), Stefania Rubrichi (Orange Innovation - SENSE)
Session M: Air pollution
Chair: Yuya Shibuya
Thursday, 5 October 2023 | 17:15 - 18:001. High resolution urban air quality sensing at scale.
Authors: Anastasios Noulas (Firefly), Yasin Acikmese (Firefly), Renaud Lambiotte (University of Oxford), Marta Gonzalez (UC Berkeley)
2. A methodology for studying the exposure of the population to air pollution: application to the analysis of the Madrid region.
Authors: María Merino Asenjo (Nommon Solutions and Technologies), Raquel Sánchez-Cauce (Nommon Solutions and Technologies), Miguel Picornell Tronch (Nommon Solutions and Technologies), Oliva Cantú Ros (Nommon Solutions and Technologies), Ricardo Herranz (Nommon Solutions and Technologies), Rafael Borge (Universidad Politécnica de Madrid), Javier Pérez (Universidad Politécnica de Madrid), David de la Paz (Universidad Politécnica de Madrid)
3. Coordinated Traffic Assignment for Sustainable Urban Transportation.
Authors: Giuliano Cornacchia (University of Pisa and ISTI-CNR, Pisa, Italy), Mirco Nanni (ISTI-CNR, Pisa, Italy), Dino Pedreschi (University of Pisa, Pisa, Italy), Luca Pappalardo (ISTI-CNR, Pisa, Italy)
Session N: Social and political relationships
Chair: Riccardo Gallotti
Friday, 6 October 2023 | 11:00 - 12:001. Reconstructing temporal social contexts as multilayer networks using contact data.
Authors: Javier Ureña-Carrion (Aalto University), Sara Heydari (Aalto University), Talayeh Aledavood (Aalto University), Jari Saramäki (Aalto University), Mikko Kivelä (Aalto University)
2. In A Society of Strangers, Kin Is Still Key: Identified Family Relations In Large-Scale Mobile Phone Data.
Authors: Tamas David-Barrett (University of Oxford), Sebastian Diaz (Universidad del Desarrollo), Carlos Rodriguez-Sickert (Universidad del Desarrollo), Isabel Behncke (Universidad del Desarrollo), Anna Rotkirch (Väestöliitto, Population Research Institute), János Kertész (Central European University), Loreto Bravo (Universidad del Desarrollo)
3. Quantifying Rhetoric Alignment using Node Embeddings on Temporal Graphs.
Authors: Keeley Erhardt (MIT Media Lab), Alex Pentland (MIT)
4. Mobile app consumption and political orientation.
Authors: Orlando Eduardo Martínez-Durive (IMDEA Networks Institute), Iñaki Ucar (Universidad Carlos III de Madrid), Zbigniew Smoreda (Orange Labs), Marco Fiore (IMDEA Networks Institute), Esteban Moro (MIT Media Lab)
Session O: Divides and pandemics
Chair: Riccardo Gallotti
Friday, 6 October 2023 | 12:00 - 13:001. Evidences of a growing second-level digital in France.
Authors: Sachit Mishra (IMDEA Networks Institute), Zbigniew Smoreda (Orange Innovation, France), Marco Fiore (IMDEA Networks Institute)
2. Behavioral changes during the COVID-19 pandemic decreased income diversity of urban encounters.
Authors: Takahiro Yabe (MIT), Bernardo Garcia Bulle Bueno (MIT), Xiaowen Dong (University of Oxford), Alex Pentland (MIT), Esteban Moro (MIT)
3. Modeling and understanding the impact of COVID-19 containment policies on mobile traffic consumption for cities in France.
Authors: André Felipe Zanella (IMDEA Networks, Universidad Carlos III de Madrid (U3CM)), Stefania Rubrichi (Orange Labs), Zbigniew Smoreda (Orange Labs), Marco Fiore (IMDEA Networks Institute)
Conference posters
Thursday, 5 October 2023 | 11:00 - 18:001. Mobility data assimilation to forecast electricity demand in a sobriety context in France.
Authors: Nathan Doumèche (Sorbonne University), Yannig Goude (EDF Lab Paris Saclay), Yann Allioux (EDF Lab Paris Saclay), Stefania Rubrichi (Orange Innovation)
2. Understanding urban mobility during special events by public transport mobile phone application.
Authors: Zhiren Huang (Aalto University), Charalampos Sipetas (Aalto University), Alonso Espinosa Mireles de Villafranca (Aalto University), Tri Quach (Helsinki Regional Transport Authority), Jari Saramäki (Aalto University)
3. Evaluation of Home Detection Algorithms on Mobile Phone Data using Individual-Level Ground Truth.
Authors: Luca Pappalardo (ISTI-CNR), Leo Ferres (Universidad del Desarrollo), Manuele Sacasa (Telefonica), Ciro Cattuto (ISI Foundation), Loreto Bravo (Universidad del Desarrollo)
4. Generating Mobility networks with Generative AI.
Authors: Giovanni Mauro (ISTI-CNR, University of Pisa, IMT Lucca), Massimiliano Luca (Bruno Kessler Foundation, Free University of Bolzano), Antonio Longa (Bruno Kessler Foundation, University of Trento), Bruno Lepri (Bruno Kessler Foundation), Luca Pappalardo (ISTI-CNR)
5. Individual level drivers of seasonal agricultural mobility in Turkey.
Authors: Bilgeçağ Aydoğdu (Utrecht University), David Natarajan (Utrecht University), Subhi Güneş (Turkcell Technology), Albert Ali Salah (Utrecht University)
6. Anomaly Detection in Mobile Networks.
Authors: Veena Mendiratta (Northwestern University)
7. Is more better? Testing feature extraction for poverty estimates from telecom data in Cote d’Ivoire.
Authors: Sveta Milusheva (World Bank), Oscar Barriga-Cabanillas (World Bank), Oumaima Makhlouk (Intel), Ruiwen Zhang (World Bank)
8. A comparative analysis of aggregation methods for human mobility data.
Authors: Yunhan Du (Tohoku University), Takaaki Aoki (Shiga University), Naoya Fujiwara (Tohoku University)
9. Assessing Bias in Mobile App Data Used for Daily Mobility Analysis: A Case Study of Auckland's Ethnic Groups.
Authors: Olena Holubowska (Ku Leuven), Ate Poorthuis (Ku Leuven)
10. Ad Fingerprinting: concept, viability and solutions.
Authors: Miguel A Bermejo-Agueda (Universidad Carlos III Madrid), Patricia Callejo (Universidad Carlos III de Madrid, uc3m-Santander Big Data Institute), Rubén Cuevas (Universidad Carlos III de Madrid, uc3m-Santander Big Data Institute), Ángel Cuevas (Universidad Carlos III de Madrid, uc3m-Santander Big Data Institute)
11. Challenges in predicting individual poverty status from MNO customer segmentation metrics and phone surveys: a Papua New Guinea case study.
Authors: Galina Veres (Flowminder Foundation), Veronique Lefebvre (Flowminder Foundation), Xavier Vollenweider (Flowminder Foundation), Caterina Irdi (Flowminder Foundation), Savita Ragoonanan (Digicel Pacific), Shohei Nakamura (The World Bank)
12. Exploring interplay between structure of urban proximity networks and spread of infectious diseases based on social surveys.
Authors: Naoya Fujiwara (Tohoku University), Akihiro Fujihara (Chiba Institute of Technology), Mao Wei (Tohoku University), Takayuki Wada (Osaka Metropolitan University), Tomoya Hanibuchi (Kyoto University), Tomoki Nakaya (Tohoku University), Kazuyuki Aihara (The University of Tokyo)
13. Dynamic Road Network Criticality Computation using Call Detail Records for Enhancing Healthcare Accessibility.
Authors: Miguel Nunez-del-Prado (The World Bank), Vincent Gauthier (SAMOVAR, Telecom SudParis, Institut Polytechnique de Paris), Gatien Roujansk (SAMOVAR, Telecom SudParis, Institut Polytechnique de Paris), Hugo Alatrista-Salas (Pontificia Universidad Católica del Perú), Mersedeh Tariverdi (The World Bank)
14. Mind the Gap: Studying the Impact of Covid-19 on Cellular Users Presence in Inland Areas.
Authors: Andrea Pimpinella (Politecnico di Milano), Carmelo Ignaccolo (Massachusetts Institute of Technology), Cristina Boniotti (Politecnico di Milano)
15. Impact of Mobility Patterns on Federated Learning applied to Human Mobility Prediction.
Authors: João Paulo Esper (Universidade Federal de Minas Gerais), Aline Carneiro Viana (INRIA), Jussara M. Almeida (Universidade Federal de Minas Gerais)
16. Characterising Intersectional Mobility Patterns Using Multiple Correspondence Analysis and Network Entropy.
Authors: Arthur Vandervoort (University of Exeter), Karyn Morrissey (Technical University of Denmark), Riccardo Di Clemente (Northeastern University London), Sabina Leonelli (University of Exeter)
Session P: Data Challenge 1
Chair: Patricia Callejo
Friday, 6 October 2023 | 15:00 - 16:001. Unfolding urban fragmentation: The interconnection between app usage and city landscape.
Authors: Antonio Desiderio (University of Rome Tor Vergata), Zsófia Zádor (Northeastern University London), Riccardo Di Clemente (Northeastern University London), Laura Alessandretti (Technical University of Denmark)
2. Unmasking Socioeconomic Disparities: A Study of Urban Segregation through the Lens of Mobile App Usage Patterns.
Authors: Yuya Shibuya (The University of Tokyo), Santiago Garcia (The University of Tokyo), Sun Chenchen (The University of Tokyo), Yu Peiran (The University of Tokyo), Ma Jue (The University of Tokyo), Yoshihide Sekimoto (The University of Tokyo)
3. Assessing the space-use efficiency of French cities by coupling 3D city models with mobile data traffic.
Authors: Zhexuan Tan (Columbia University), Yuehan Yang (Columbia University), Markus Schläpfer (Columbia University)
4. Unveiling local patterns of child pornography consumption in France using Tor.
Authors: Till Koebe (Saarland University), Zinnya del Villar (Data-Pop Alliance), Brahmani Nutakki (Saarland University), Nursulu Sagimbayeva (Saarland University), Ingmar Weber (Saarland University)
Session Q: Data Challenge 2
Chair: Stefania Rubrichi
Friday, 6 October 2023 | 16:15 - 17:151. NetMob 2013 Data Analysis with ASCA.
Authors: José Camacho (Universidad de Granada, Spain)
2. Maintaining App Services in Disrupted Cities: A Crisis and Resilience Evaluation Tool.
Authors: Leon Würsching (TU Darmstadt, Germany), Matthias Hollick (TU Darmstadt, Germany)
3. Traffic and Resource Optimization in 5G Multi-Layer Edge Networks.
Authors: Marcello Pietri (Università di Modena e Reggio Emilia), Natalia Selini Hadjidimitriou (Università di Modena e Reggio Emilia), Marco Mamei (Università di Modena e Reggio Emilia), Marco Picone (Università di Modena e Reggio Emilia), Enrico Rossini (Università di Modena e Reggio Emilia)
4. Network Sharing for sustainability and resilience in the era of 5G and beyond.
Authors: Marco Ajmone Marsan (Politecnico di Torino, Italy), Michela Meo (Politecnico di Torino, Italy), Maoquan Ni (Politecnico di Torino, Italy), Daniela Renga (Politecnico di Torino, Italy)
Session R: Data Challenge 3
Chair: Stefania Rubrichi
Friday, 6 October 2023 | 17:15 - 18:001. Inferring urban spatial dynamics through mobile phone traffic activity.
Authors: Ulysse Marquis (Bruno Kessler Foundation), Sebastiano Bontorin (Bruno Kessler Foundation, University of Trento), Andrea Guizzo (Bruno Kessler Foundation), Riccardo Gallotti (Bruno Kessler Foundation), Massimiliano Luca (Bruno Kessler Foundation, Free University of Bolzano), Simone Centellegher (Bruno Kessler Foundation), Bruno Lepri (Fondazione Bruno Kessler)
2. Characterising Temporal Patterns in Visits to Locations for Human Mobility Modelling.
Authors: Prathyush Sambaturu (University of Oxford), Bernardo Gutierrez (University of Oxford), Moritz Kraemer (University of Oxford)
3. Semantic Maps to Generate Mobile Phone Traffic Data.
Authors: Chiara Pugliese (ISTI-CNR, Italy), Francesco Lettich (ISTI-CNR, Italy), Giulio Loddi (IMT School for Advanced Studies), Fabio Pinelli (IMT School for Advanced Studies), Chiara Renso (ISTI-CNR, Italy)
Challenge posters
Friday, 6 October 2023 | 11:00 - 18:001. Spatio-Temporal Analysis of Mobile Service Consumption for Social Signature Clustering.
Authors: Zhaobo Hu (SAMOVAR, Telecom SudParis, Institut Polytechnique de Paris), Chuan Li (SAMOVAR, Telecom SudParis, Institut Polytechnique de Paris), Vincent Gauthier (SAMOVAR, Telecom SudParis, Institut Polytechnique de Paris), Miguel Nunez-del-Prado (The World Bank), Hassine Moungla (SAMOVAR, Telecom SudParis, Institut Polytechnique de Paris, LIPADE University Paris Cité)
2. Detection of anomalous spatio-temporal patterns of app traffic in response to catastrophic events.
Authors: Sofia Medina (Mathematical Institute University of Oxford), Shazia Babul (Mathematical Institute University of Oxford), Rohit Sahasrabuddhe (Mathematical Institute University of Oxford), John Pougué-Biyong (Mathematical Institute University of Oxford), Timothy LaRock (Mathematical Institute University of Oxford), Nicola Pedreschi (Mathematical Institute University of Oxford), Renaud Lambiotte (Mathematical Institute University of Oxford)
3. Modelling daily mobility using mobile data traffic at fine spatiotemporal scale.
Authors: Panayotis Christidis (European Commission, Joint Research Centre), María Vega Gonzalo (European Commission, Joint Research Centre), Miklos Radics (European Commission, Joint Research Centre)
4. SNN-based Federated Learning for Network Traffic Classification.
Authors: Giovanni Perin (University of Padova), Alessandro Buratto (University of Padova), Riccardo Mazzieri (University of Padova), Jacopo Pegoraro (University of Padova), Francesca Meneghello (University of Padova), Leonardo Badia (University of Padova), Michele Rossi (University of Padova)
5. Identifying socio-demographic traits associated to different lifestyles: an application to extended workload during out-of-office hours.
Authors: Lorenzo Dall'amico (ISI Foundation), Michele Tizzani (ISI Foundation), Nicoló Gozzi (ISI Foundation), Mattia Mazzoli (ISI Foundation), Anna Sapienza (ISI Foundation)
6. Are mobile phone applications data a good proxy for predicting the spatio-temporal evolution of peoples activities in urban areas ?.
Authors: Etienne Côme (Gustave Eiffel University), Paul De Nailly (Gustave Eiffel University), Angelo Furno (Gustave Eiffel University), Benoit Matet (Gustave Eiffel University)
7. Applications of state space models to mobile app data.
Authors: David Meyer (University of California, San Diego), Orest Bucicovschi (University of California, San Diego), David Rideout (University of California, San Diego), Asif Shakeel (University of California, San Diego), Jiajie Shi (University of California, San Diego)
8. Mapping mobile service usage diversities in cities.
Authors: Maxime Lenormand (INRAE)
9. Traffic Models and MEC Nodes Planning Using the NetMob 2023 DataSet.
Authors: Shima Afshar Barji (University of Genoa), Cristina Emilia Costa (National Inter-University Consortium for Telecommunications (CNIT)), Fabrizio Granelli (University of Trento and CNIT), Raffaele Bolla (University of Genoa and CNIT)
10. Using Service-Level Mobile Internet Traffic Data to Estimate Noise Impact of Flight Trajectories on the Population.
Authors: Emir Ganić (University of Belgrade), Simon Staudinger (Johannes Kepler University Linz), Christoph Schuetz (Johannes Kepler University Linz), Claudia Vinueza (Johannes Kepler University Linz)
11. Network Analysis to Manage Network's Zero-Touch Configuration.
Authors: Mihaela Chidean (Universidad Rey Juan Carlos), Luis Ignacio Jimenez (Universidad de Valladolid), Javier Carmona-Murillo (Universidad de Extremadura), David Cortés-Polo (Universidad Rey Juan Carlos // Universidad de Extremadura)
12. Unveiling social vibrancy in urban spaces with app usage.
Authors: Thomas Collins (University of Exeter), Diogo Pacheco (University of Exeter), Riccardo Di Clemente (Northeastern University London; The Alan Turing Institute), Federico Botta (University of Exeter; The Alan Turing Institute)
13. Traffic Mobility data generation based on deep learning model.
Authors: Bechir Mnakri (Internship Orange Labs), Sara Kassan (Researcher Orange Labs), Tamara Tosic, Frederic Guyard, Thierry Nagellen
14. Seasonal Shifts in Mobile Data Consumption: Investigating the Effect of Daylight Variation on Application Usage Patterns.
Authors: Egor Kotov (Max Planck Institute for Demographic Research), Ole Hexel (Max Planck Institute for Demographic Research), Tom Theile (Max Planck Institute for Demographic Research), Elizabeth Jacobs (Max Planck Institute for Demographic Research), Daniela Perrotta (Max Planck Institute for Demographic Research), Jisu Kim (Max Planck Institute for Demographic Research), Emilio Zagheni (Max Planck Institute for Demographic Research)
15. Attention-based Graph Neural Network With Mask Autoencoder for Cross-service Collaborative Traffic Prediction.
Authors: Zhiying Feng (Sun Yat-sen University), Xu Chen (Sun Yat-sen University)
16. Managing Network Performance with Data Driven Strategies.
Authors: Veena Mendiratta (Northwestern University), Mrinmoy Bhattacharjee (Nokia), Anvesh Chamanchula (Nokia)
17. Characterizing and Comparing Cellular Network Traffic in French Cities.
Authors: Alberto Blanc (IMT Atlantique), Xavier Lagrange (IMT Atlantique)
18. Generating Application Traffic Data from Income Data.
Authors: Tamer Arafa (Nile University), Noha Gamal Eldin Saad (Nile University), Ghada Khoriba (Nile University), Mina Atef Yousef (Nile University), Ahmed Hazem El Mahdy (Nile University)
19. Finding unusual spatiotemporal traffic volumes using anomaly detection method.
Authors: Rei Kemmi (Chiba Institute of Technology), Akihiro Fujihara (Chiba Institute of Technology)
20. Data in the woods: analyzing unpopulated areas frequentation and users with mobile data information.
Authors: CNRS UMR 8586 PRODIG (CNRS), IRD UMR 215 PRODIG (IRD)
21. Socio-Economic and Demographic Patterns in Video Streaming: Unveiling City Dynamics in France.
Authors: İrem Betül Koçak (itu.edu.tr, boun.edu.tr), Aslıgül Aksan (itu.edu.tr, boun.edu.tr), Oğuz Yücel (itu.edu.tr)
22. GRAPH NEURAL NETWORK-BASED MODELS FOR MOBILE NETWORK TRAFFIC PREDICTION.
Authors: Duc-Thinh Ngo (Orange Labs, Nantes University, Ecole Centrale Nantes, IMT Atlantique, CNRS, INRIA, LS2N, UMR 6004), Ons Aouedi (Nantes University, Ecole Centrale Nantes, IMT Atlantique, CNRS, INRIA, LS2N, UMR 6004), Kandaraj Piamrat (Nantes University, Ecole Centrale Nantes, IMT Atlantique, CNRS, INRIA, LS2N, UMR 6004), Thomas Hassan (Orange Innovation), Philippe Raipin (Orange Innovation)
23. Online Learning for Network Traffic Forecasting.
Authors: Javier Rivas García (UC3M), Livia Elena Chatzieleftheriou (UC3M, Institute IMDEA Networks), Sergi Alcalá-Marín (Institute IMDEA Networks), Albert Banchs (IMDEA Networks and University Carlos III of Madrid)
24. Désordre; a Framework for Real-Time Detection and Prediction of Social Unrest and Catastrophes Using Mobile Data Traffic.
Authors: Noha Gamal Eldin Saad (Nile University), Mena Atef Yousef (Nile University), Ahmed El-Mahdy (Nile University)
25. Left on read: Human behavior characterization based on messaging service applications.
Authors: GEYMERSON RAMOS (Univ Lyon, Inria, INSA Lyon, CITI, Villeurbanne, France), GEAN SANTOS (LaCCAN Laboratory, Federal University of Alagoas, Brazil.), DOUGLAS MOURA (LaCCAN Laboratory, Federal University of Alagoas, Brazil.), DANILO FERNANDES (LaCCAN Laboratory, Federal University of Alagoas, Brazil.), FABIANE QUEIROZ (LaCCAN Laboratory, Federal University of Alagoas, Brazil.), OSVALDO A. ROSSO (LaCCAN Laboratory, Federal University of Alagoas, Brazil.), RAZVAN STANICA (Univ Lyon, Inria, INSA Lyon, CITI, Villeurbanne, France), ANDRE L. L. AQUINO (LaCCAN Laboratory, Federal University of Alagoas, Brazil.)
26. Batch Network Slicing for OTT Services in a Demand-Aware SDN Environment.
Authors: H Shahul Hamead (Sri Sivasubramaniya Nadar College of Engineering (SSN)), SM Dhannya (Sri Sivasubramaniya Nadar College of Engineering (SSN)), Pooja Premnath (Sri Sivasubramaniya Nadar College of Engineering (SSN)), Sanjai Balajee (Sri Sivasubramaniya Nadar College of Engineering (SSN)), Venkatasai Ojus Yenumulapalli (Sri Sivasubramaniya Nadar College of Engineering (SSN))
27. Going Green in RAN Slicing.
Authors: Hnin Pann Phyu (ÉTS), Razvan Stanica (INSA de Lyon), Diala Naboulsi (ÉTS), Gwenael Poitau (Dell Technologies)
28. Sleeping in Cities.
Authors: Andrea Musso (ETH Zurich)
29. Urban life and wellbeing assessed by mobile usage.
Authors: Csaba István Sidló (Institute for Computer Science and Control (SZTAKI)), Ferenc Béres (Institute for Computer Science and Control (SZTAKI)), Gábor Lukács (Institute for Computer Science and Control (SZTAKI)), Székács Benedek (Institute for Computer Science and Control (SZTAKI)), Júlia Tompa (Institute for Computer Science and Control (SZTAKI)), András A. Benczúr (Institute for Computer Science and Control), Katalin Hum (Institute for Computer Science and Control (SZTAKI)), Domokos M. Kelen (Institute for Computer Science and Control (SZTAKI))
30. Synthetic Network Traffic Data Generation using Deep Generative Models.
Authors: Yanbo Pang (The University of Tokyo), Kunyi Zhang (The University of Tokyo), Pierre Ferry (The University of Tokyo)
31. The online geography of discontent: social media, urban peripheries and radical voting in French cities.
Authors: Andrea Musso (ETH Zurich), Gianluca Risi (Politecnico di Milano), Theodore Tallent (Sciences Po, Paris)
32. Opening Telecommunication Data for Inclusive Education.
Authors: Aránzazu San Juan Llano (Orange Innovation, France), Thi-Mai-Trang Nguyen (LIP6 - Sorbonne University), Daniel Rodriguez (The University of Alcalá), Matthieu Chardy (Orange Innovation, France)
33. Predicting the Productivity Indicators of a Society using Workforce Behavior Dynamics.
Authors: Noha Gamal Eldin Saad (Nile University), Tamer Arafa (Nile University), Mina Yousef (Nile University), Ahmed El-Mahdy (Nile University)
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