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 2020-05-01 to 2024-05-01.)
ArticleCitations
Hypernetwork science via high-order hypergraph walks69
Behaviours and attitudes in response to the COVID-19 pandemic: insights from a cross-national Facebook survey47
On the interplay between educational attainment and nutrition: a spatially-aware perspective33
Quantifying the economic impact of disasters on businesses using human mobility data: a Bayesian causal inference approach31
Flow of online misinformation during the peak of the COVID-19 pandemic in Italy31
Urban green space and happiness in developed countries29
The growing amplification of social media: measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009–202028
Generalized word shift graphs: a method for visualizing and explaining pairwise comparisons between texts28
Segregated interactions in urban and online space27
Attention dynamics on the Chinese social media Sina Weibo during the COVID-19 pandemic27
Dark Web Marketplaces and COVID-19: before the vaccine26
Support the underground: characteristics of beyond-mainstream music listeners24
Which politicians receive abuse? Four factors illuminated in the UK general election 201924
Mapping socioeconomic indicators using social media advertising data24
Using wearable proximity sensors to characterize social contact patterns in a village of rural Malawi23
Efficient modeling of higher-order dependencies in networks: from algorithm to application for anomaly detection22
The Butterfly “Affect”: impact of development practices on cryptocurrency prices22
Modeling and predicting evacuation flows during hurricane Irma21
Evaluation of home detection algorithms on mobile phone data using individual-level ground truth21
Emotions in online rumor diffusion20
Susceptible-infected-spreading-based network embedding in static and temporal networks20
Economic outcomes predicted by diversity in cities20
A multi-layer approach to disinformation detection in US and Italian news spreading on Twitter18
Impact and dynamics of hate and counter speech online18
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 Ukraine15
On estimating the predictability of human mobility: the role of routine15
Analysing global professional gender gaps using LinkedIn advertising data14
Scholarly migration within Mexico: analyzing internal migration among researchers using Scopus longitudinal bibliometric data13
The impact of digital contact tracing on the SARS-CoV-2 pandemic—a comprehensive modelling study12
Understanding peace through the world news12
Putting human behavior predictability in context12
Brexit and bots: characterizing the behaviour of automated accounts on Twitter during the UK election12
Italian Twitter semantic network during the Covid-19 epidemic12
Prediction of new scientific collaborations through multiplex networks11
Characterizing key agents in the cryptocurrency economy through blockchain transaction analysis11
Characterizing partisan political narrative frameworks about COVID-19 on Twitter11
NodeSim: node similarity based network embedding for diverse link prediction11
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
Modeling international mobility using roaming cell phone traces during COVID-19 pandemic10
Corruption red flags in public procurement: new evidence from Italian calls for tenders10
Linking Twitter and survey data: asymmetry in quantity and its impact9
A data-driven approach for assessing biking safety in cities9
Generating mobility networks with generative adversarial networks9
Challenges when identifying migration from geo-located Twitter data9
Understanding vehicular routing behavior with location-based service data9
Temporal social network reconstruction using wireless proximity sensors: model selection and consequences9
Measuring sustainable tourism with online platform data9
Unraveling the hidden organisation of urban systems and their mobility flows9
Privacy preserving data visualizations9
Inferring psychological traits from spending categories and dynamic consumption patterns8
Has Covid-19 permanently changed online purchasing behavior?8
Temporal network analysis using zigzag persistence8
The dynamics of faculty hiring networks8
Effective strategies for targeted attacks to the network of Cosa Nostra affiliates8
Early detection of influenza outbreak using time derivative of incidence8
Uncovering the fragility of large-scale engineering projects8
Predictive modeling to study lifestyle politics with Facebook likes7
A profile-based sentiment-aware approach for depression detection in social media7
Rhythm of the streets: a street classification framework based on street activity patterns7
Identifying urban features for vulnerable road user safety in Europe7
Enhancing short-term crime prediction with human mobility flows and deep learning architectures7
Finding disease outbreak locations from human mobility data7
Multilayer networks for text analysis with multiple data types7
An end-to-end statistical process with mobile network data for official statistics7
Estimating community feedback effect on topic choice in social media with predictive modeling7
In search of art: rapid estimates of gallery and museum visits using Google Trends7
Comparative analysis of layered structures in empirical investor networks and cellphone communication networks7
A global-scale analysis of the sharing economy model – an AirBnB case study7
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