Application of network properties and signal strength to identify face-to-face links in an electronic dataset. - Vedran Sekara; Sune Lehmann (CoRR, 2014)

Measuring large-scale social networks with high resolution. WORKING PAPER. - Arkadiusz Stopczynski; Vedran Sekara; Piotr Sapiezynski; Andrea Cuttone; Jakob Eg Larsen; Sune Lehmann (CoRR, 2014)

The fundamental structures of dynamic social networks. - Vedran Sekara; Arkadiusz Stopczynski; Sune Lehmann (CoRR, 2015)

Dynamics of High-Resolution Networks. - Vedran Sekara (2015)

SensibleSleep: A Bayesian Model for Learning Sleep Patterns from Smartphone Events. - Andrea Cuttone; Per Bækgaard; Vedran Sekara; Håkan Jonsson; Jakob Eg Larsen; Sune Lehmann (CoRR, 2016)

Temporal Limits of Privacy in Human Behavior. - Vedran Sekara; Enys Mones; Håkan Jonsson (CoRR, 2018)

The Chaperone Effect in Scientific Publishing. - Vedran Sekara; Pierre Deville; Sebastian E. Ahnert; Albert-László Barabási; Roberta Sinatra; Sune Lehmann (CoRR, 2018)

Mobile Phone Data for Children on the Move: Challenges and Opportunities. - Vedran Sekara; Elisa Omodei; Laura Healy; Jan Beise; Claus Hansen; Danzhen You; Saskia Blume; Manuel García-Herranz (Data for Refugees Challenge, 2019)

Mobile Phone Data for Children on the Move: Challenges and Opportunities. - Vedran Sekara; Elisa Omodei; Laura Healy; Jan Beise; Claus Hansen; Danzhen You; Saskia Blume; Manuel García-Herranz (CoRR, 2019)

The Fallibility of Contact-Tracing Apps. - Piotr Sapiezynski; Johanna Pruessing; Vedran Sekara (CoRR, 2020)

Mapping socioeconomic indicators using social media advertising data. - Masoomali Fatehkia; Isabelle Tingzon; Ardie Orden; Stephanie Sy; Vedran Sekara; Manuel García-Herranz; Ingmar Weber (EPJ Data Sci., 2020)

Biases in human mobility data impact epidemic modeling. - Frank Schlosser; Vedran Sekara; Dirk Brockmann; Manuel García-Herranz (CoRR, 2021)

How Do US Congress Members Advertise Climate Change: An Analysis of Ads Run on Meta's Platforms. - Laurenz Aisenpreis; Gustav Gyrst; Vedran Sekara (ICWSM, 2023)

Are machine learning technologies ready to be used for humanitarian work and development? - Vedran Sekara; Márton Karsai; Esteban Moro; Dohyung Kim; Enrique Delamónica; Manuel Cebrián; Miguel A. Luengo-Oroz; Rebeca Moreno Jimenez; Manuel García-Herranz (CoRR, 2023)

Mobility Segregation Dynamics and Residual Isolation During Pandemic Interventions. - Rafiazka Millanida Hilman; Manuel García-Herranz; Vedran Sekara; Márton Karsai (CoRR, 2023)

Future directions in human mobility science. - Luca Pappalardo; Ed Manley; Vedran Sekara; Laura Alessandretti (Nat. Comput. Sci., 2023)

Failing Our Youngest: On the Biases, Pitfalls, and Risks in a Decision Support Algorithm Used for Child Protection. - Therese Moreau; Roberta Sinatra; Vedran Sekara (FAccT, 2024)

Uncovering large inconsistencies between machine learning derived gridded settlement datasets. - Vedran Sekara; Andrea Martini; Manuel García-Herranz; Do-Hyung Kim (CoRR, 2024)

Detecting and Mitigating Bias in Algorithms Used to Disseminate Information in Social Networks. - Vedran Sekara; Iván Dotú; Manuel Cebrián; Esteban Moro; Manuel García-Herranz (CoRR, 2024)

Editorial: Are machine learning, AI, and big data tools ready to be used for sustainable development? Challenges, and limitations of current approaches. - Elisa Omodei; Dohyung Kim; Manuel García-Herranz; Vedran Sekara (Frontiers Big Data, 2024)

The Opportunities, Limitations, and Challenges in using Machine Learning Technologies for Humanitarian Work and Development. - Vedran Sekara; Márton Karsai; Esteban Moro; Dohyung Kim; Enrique Delamónica; Manuel Cebrián; Miguel A. Luengo-Oroz; Rebeca Moreno Jimenez; Manuel García-Herranz (Adv. Complex Syst., 2024)

Predictable Drifts in Collective Cultural Attention: Evidence from Nation-Level Library Takeout Data. - Anders Weile Larsen; Vedran Sekara (CoRR, 2025)