EPJ Data Science

Papers
(The TQCC of EPJ Data Science is 7. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-07-01 to 2024-07-01.)
ArticleCitations
Behaviours and attitudes in response to the COVID-19 pandemic: insights from a cross-national Facebook survey48
On the interplay between educational attainment and nutrition: a spatially-aware perspective38
Urban green space and happiness in developed countries35
Quantifying the economic impact of disasters on businesses using human mobility data: a Bayesian causal inference approach34
Flow of online misinformation during the peak of the COVID-19 pandemic in Italy32
The growing amplification of social media: measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009–202030
Segregated interactions in urban and online space30
Generalized word shift graphs: a method for visualizing and explaining pairwise comparisons between texts28
Attention dynamics on the Chinese social media Sina Weibo during the COVID-19 pandemic27
Dark Web Marketplaces and COVID-19: before the vaccine27
Support the underground: characteristics of beyond-mainstream music listeners26
Using wearable proximity sensors to characterize social contact patterns in a village of rural Malawi26
Mapping socioeconomic indicators using social media advertising data25
Which politicians receive abuse? Four factors illuminated in the UK general election 201925
Evaluation of home detection algorithms on mobile phone data using individual-level ground truth24
The Butterfly “Affect”: impact of development practices on cryptocurrency prices24
Modeling and predicting evacuation flows during hurricane Irma22
Emotions in online rumor diffusion22
Susceptible-infected-spreading-based network embedding in static and temporal networks20
Impact and dynamics of hate and counter speech online20
A multi-layer approach to disinformation detection in US and Italian news spreading on Twitter19
Characteristics of human mobility patterns revealed by high-frequency cell-phone position data18
Estimating tie strength in social networks using temporal communication data17
Russian propaganda on social media during the 2022 invasion of Ukraine17
On estimating the predictability of human mobility: the role of routine15
Analysing global professional gender gaps using LinkedIn advertising data14
NodeSim: node similarity based network embedding for diverse link prediction14
Italian Twitter semantic network during the Covid-19 epidemic14
Scholarly migration within Mexico: analyzing internal migration among researchers using Scopus longitudinal bibliometric data13
Brexit and bots: characterizing the behaviour of automated accounts on Twitter during the UK election13
The impact of digital contact tracing on the SARS-CoV-2 pandemic—a comprehensive modelling study13
Understanding peace through the world news12
Putting human behavior predictability in context12
Has Covid-19 permanently changed online purchasing behavior?12
Measuring sustainable tourism with online platform data11
Characterizing key agents in the cryptocurrency economy through blockchain transaction analysis11
Characterizing partisan political narrative frameworks about COVID-19 on Twitter11
Corruption red flags in public procurement: new evidence from Italian calls for tenders11
The great divide: drivers of polarization in the US public11
The rhythms of the night: increase in online night activity and emotional resilience during the spring 2020 Covid-19 lockdown11
Prediction of new scientific collaborations through multiplex networks11
Linking Twitter and survey data: asymmetry in quantity and its impact10
The dynamics of faculty hiring networks10
A profile-based sentiment-aware approach for depression detection in social media10
Temporal social network reconstruction using wireless proximity sensors: model selection and consequences10
A data-driven approach for assessing biking safety in cities10
Modeling international mobility using roaming cell phone traces during COVID-19 pandemic10
Inferring psychological traits from spending categories and dynamic consumption patterns9
Understanding vehicular routing behavior with location-based service data9
Challenges when identifying migration from geo-located Twitter data9
Identifying urban features for vulnerable road user safety in Europe9
Uncovering the fragility of large-scale engineering projects9
Unraveling the hidden organisation of urban systems and their mobility flows9
Privacy preserving data visualizations9
Generating mobility networks with generative adversarial networks9
Temporal network analysis using zigzag persistence9
Enhancing short-term crime prediction with human mobility flows and deep learning architectures8
The effect of anti-money laundering policies: an empirical network analysis8
Early detection of influenza outbreak using time derivative of incidence8
Effective strategies for targeted attacks to the network of Cosa Nostra affiliates8
Rhythm of the streets: a street classification framework based on street activity patterns8
Predictive modeling to study lifestyle politics with Facebook likes7
An end-to-end statistical process with mobile network data for official statistics7
Finding disease outbreak locations from human mobility data7
A global-scale analysis of the sharing economy model – an AirBnB case study7
Estimating community feedback effect on topic choice in social media with predictive modeling7
Multilayer networks for text analysis with multiple data types7
Scaling of urban amenities: generative statistics and implications for urban planning7
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