Defining a city—delineating urban areas using cell-phone data

L Dong, F Duarte, G Duranton, P Santi, M Barthelemy… - Nature Cities, 2024 - nature.com
What is a city? Researchers use different criteria and datasets to define it—from population
density to traffic flows. We argue there is one dataset that could serve as a proxy of the …

Social physics: uncovering human behaviour from communication

K Bhattacharya, K Kaski - Advances in Physics: X, 2019 - Taylor & Francis
In the post year 2000 era the technologies that facilitate human communication have rapidly
multiplied. While the adoption of these technologies has hugely impacted the behaviour and …

Bio-inspired algorithms and its applications for optimization in fuzzy clustering

F Valdez, O Castillo, P Melin - Algorithms, 2021 - mdpi.com
In recent years, new metaheuristic algorithms have been developed taking as reference the
inspiration on biological and natural phenomena. This nature-inspired approach for …

Assessing the quality of home detection from mobile phone data for official statistics

M Vanhoof, F Reis, T Ploetz… - Journal of official …, 2018 - journals.sagepub.com
Mobile phone data are an interesting new data source for official statistics. However,
multiple problems and uncertainties need to be solved before these data can inform, support …

Global multi-layer network of human mobility

A Belyi, I Bojic, S Sobolevsky, I Sitko… - International Journal …, 2017 - Taylor & Francis
Recent availability of geo-localized data capturing individual human activity together with
the statistical data on international migration opened up unprecedented opportunities for a …

Host preferences support the prominent role of Hyalomma ticks in the ecology of Crimean-Congo hemorrhagic fever

JR Spengler, A Estrada-Peña - PLoS neglected tropical diseases, 2018 - journals.plos.org
Crimean-Congo hemorrhagic fever virus (CCHFV) is a tick-borne zoonotic agent that is
maintained in nature in an enzootic vertebrate-tick-vertebrate cycle. Hyalomma genus ticks …

Graph neural network inspired algorithm for unsupervised network community detection

S Sobolevsky, A Belyi - Applied Network Science, 2022 - Springer
Network community detection often relies on optimizing partition quality functions, like
modularity. This optimization appears to be a complex problem traditionally relying on …

Mobile phone indicators and their relation to the socioeconomic organisation of cities

C Cottineau, M Vanhoof - ISPRS International Journal of Geo-Information, 2019 - mdpi.com
Thanks to the use of geolocated big data in computational social science research, the
spatial and temporal heterogeneity of human activities is increasingly being revealed …

Distance deterrence comparison in urban commute among different socioeconomic groups: A normalized linear piece-wise gravity model

M He, Y Bogomolov, D Khulbe, S Sobolevsky - Journal of Transport …, 2023 - Elsevier
Understanding commuting behavior among socioeconomic groups is essential in promoting
equity across the housing and transportation system. This field is well-studied, but existing …

[HTML][HTML] A metapopulation network model for the spreading of SARS-CoV-2: Case study for Ireland

R Humphries, M Spillane, K Mulchrone… - Infectious Disease …, 2021 - Elsevier
We present preliminary results on an all-Ireland network modelling approach to simulate the
spreading the Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2) …