EPJ Data Science

Papers
(The TQCC of EPJ Data Science is 6. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
Does United Kingdom parliamentary attention follow social media posts?52
Estimating work engagement from online chat tools42
The microvelocity of money in Ethereum32
Modeling international mobility using roaming cell phone traces during COVID-19 pandemic32
Effective strategies for targeted attacks to the network of Cosa Nostra affiliates27
A hybrid stock prediction method based on periodic/non-periodic features analyses23
How floods may affect the spatial spread of respiratory pathogens: the case of Emilia-Romagna, Italy in May 202323
Drivers of hate speech in political conversations on Twitter: the case of the 2022 Italian general election23
Detecting coordinated and bot-like behavior in Twitter: the Jürgen Conings case22
Generating mobility networks with generative adversarial networks21
Dream content discovery from social media using natural language processing21
Analyzing image-based political propaganda in referendum campaigns: from elements to strategies21
Assessing geographic polarisation in Britain’s digital landscape through stable dynamic embedding of spatial web data20
Human mobility reshaped? Deciphering the impacts of the Covid-19 pandemic on activity patterns, spatial habits, and schedule habits19
Disentangling degree and tie strength heterogeneity in egocentric social networks19
Online advertisement in a pink-colored market19
Suspended accounts align with the Internet Research Agency misinformation campaign to influence the 2016 US election19
A path-based approach to analyzing the global liner shipping network19
Which sport is becoming more predictable? A cross-discipline analysis of predictability in team sports18
Origin and destination attachment: study of cultural integration on Twitter18
Classifying social position with social media behavioral data16
On the duration of face-to-face contacts16
Quantifying polarization in online political discourse16
Identifying urban features for vulnerable road user safety in Europe15
Leveraging WiFi network logs to infer student collocation and its relationship with academic performance15
Developing a hierarchical model for unraveling conspiracy theories15
Correction: Temporal network analysis using zigzag persistence14
Companies under stress: the impact of shocks on the production network14
Adaptation of student behavioural routines during Covid-19: a multimodal approach14
Computational social science is growing up: why puberty consists of embracing measurement validation, theory development, and open science practices13
Academic support network reflects doctoral experience and productivity13
Evolution of sample-based music authorship network13
Science as exploration in a knowledge landscape: tracing hotspots or seeking opportunity?12
Understanding rhythmic structures, novelty, and influence in classical music from data12
Analysis and classification of privacy-sensitive content in social media posts12
Rhythm of the streets: a street classification framework based on street activity patterns12
Multifaceted online coordinated behavior in the 2020 US presidential election11
Identifying the temporal dynamics of densification and sparsification in human contact networks11
Endogenous labour flow networks10
The simpliciality of higher-order networks10
Can Google Trends predict asylum-seekers’ destination choices?10
Open data and quantitative techniques for anthropology of road traffic10
Critical computational social science10
Fair automated assessment of noncompliance in cargo ship networks10
Entropy-based text feature engineering approach for forecasting financial liquidity changes10
Milgram’s experiment in the knowledge space: individual navigation strategies10
Temporal patterns of reciprocity in communication networks10
Learning to cluster urban areas: two competitive approaches and an empirical validation9
The Russian invasion of Ukraine selectively depolarized the Finnish NATO discussion on Twitter9
News sharing on Twitter reveals emergent fragmentation of media agenda and persistent polarization9
Misinformation is not about bad facts: an analysis of the production and consumption of fringe content9
Large scale analysis of gender bias and sexism in song lyrics8
Social media warfare: investigating human-bot engagement in English, Japanese and German during the Russo-Ukrainian war on Twitter and Reddit8
Large-scale digital signatures of emotional response to the COVID-19 vaccination campaign8
Connectivity and community structure of online and register-based social networks8
Keep your friends close, and your enemies closer: structural properties of negative relationships on Twitter8
Studying social networks in the age of computational social science8
Mapping language literacy at scale: a case study on Facebook8
Design and analysis of tweet-based election models for the 2021 Mexican legislative election7
Detecting political biases of named entities and hashtags on Twitter7
When dialects collide: how socioeconomic mixing affects language use7
UTDRM: unsupervised method for training debunked-narrative retrieval models7
Linking physical violence to women’s mobility in Chile7
Explaining human mobility predictions through a pattern matching algorithm7
The right to audit and power asymmetries in algorithm auditing7
A new methodology to measure faultlines at scale leveraging digital traces7
Forecasting patient flows with pandemic induced concept drift using explainable machine learning7
Is it getting harder to make a hit? Evidence from 65 years of US music chart history7
LEIA: Linguistic Embeddings for the Identification of Affect6
Tackling racial bias in automated online hate detection: Towards fair and accurate detection of hateful users with geometric deep learning6
Sweet tweets! Evaluating a new approach for probability-based sampling of Twitter6
Spatio-temporal changes in racial segregation and diversity in large US cities from 1990 to 2020: a visual data analysis6
Construction and analysis of corporate greenwashing index: a deep learning approach6
Uncovering large inconsistencies between machine learning derived gridded settlement datasets6
Evaluating Twitter’s algorithmic amplification of low-credibility content: an observational study6
Consensus formation on heterogeneous networks6
Early warning signals for stock market crashes: empirical and analytical insights utilizing nonlinear methods6
Quantifying interdisciplinary synergy in higher STEM education6
Measuring user engagement with low credibility media sources in a controversial online debate6
The role of transport systems in housing insecurity: a mobility-based analysis6
On the adoption of e-moped sharing systems6
Structural gender imbalances in ballet collaboration networks6
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