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 2022-08-01 to 2026-08-01.)
ArticleCitations
Endogenous conflict and the limits of predictive optimization79
Estimating work engagement from online chat tools49
How floods may affect the spatial spread of respiratory pathogens: the case of Emilia-Romagna, Italy in May 202347
Impact of federated data with local differential privacy for human mobility modeling40
Generative AI voting: fair collective choice is resilient to LLM biases and inconsistencies36
Simulating conversations on social media with generative agent-based models36
Does United Kingdom parliamentary attention follow social media posts?34
Drivers of hate speech in political conversations on Twitter: the case of the 2022 Italian general election33
Cognitive networks identify AI biases on societal issues in Large Language Models29
The microvelocity of money in Ethereum27
A hybrid stock prediction method based on periodic/non-periodic features analyses26
Analyzing image-based political propaganda in referendum campaigns: from elements to strategies23
Dream content discovery from social media using natural language processing23
Origin and destination attachment: study of cultural integration on Twitter22
Online advertisement in a pink-colored market22
From crowdsourced data to policy design: monitoring and forecasting homeless tents22
Assessing geographic polarisation in Britain’s digital landscape through stable dynamic embedding of spatial web data22
Suspended accounts align with the Internet Research Agency misinformation campaign to influence the 2016 US election22
Disentangling degree and tie strength heterogeneity in egocentric social networks21
Which sport is becoming more predictable? A cross-discipline analysis of predictability in team sports19
Assessing the impact of case correction methods on the fairness of COVID-19 predictive models19
Quantifying polarization in online political discourse18
Detecting coordinated and bot-like behavior in Twitter: the Jürgen Conings case18
Human mobility reshaped? Deciphering the impacts of the Covid-19 pandemic on activity patterns, spatial habits, and schedule habits17
On the duration of face-to-face contacts15
Generating mobility networks with generative adversarial networks15
Classifying social position with social media behavioral data15
Mapping violence perceptions through YouTube comments: a new approach to real-time violence monitoring14
Evaluating perceived built environment factors influencing children’s walking to school: an XGBoost–SHAP approach14
Developing a hierarchical model for unraveling conspiracy theories14
Multimedia, engagement, and diffusion in alternative online communities: evidence from Spanish telegram channels14
Leveraging WiFi network logs to infer student collocation and its relationship with academic performance14
Multifaceted online coordinated behavior in the 2020 US presidential election13
Adaptation of student behavioural routines during Covid-19: a multimodal approach13
Understanding rhythmic structures, novelty, and influence in classical music from data13
Science as exploration in a knowledge landscape: tracing hotspots or seeking opportunity?13
Correction: Temporal network analysis using zigzag persistence13
Computational social science is growing up: why puberty consists of embracing measurement validation, theory development, and open science practices12
Evolution of sample-based music authorship network12
Multi-source, multi-level: a hierarchical taxonomy-based framework for AI trends analysis12
Critical computational social science11
Conductance and influence-capital: modeling online social influence11
Milgram’s experiment in the knowledge space: individual navigation strategies11
Quantitative thematic diversification and evolution of classical science fiction in the public domain based on complex network analysis and natural language processing11
Identifying the temporal dynamics of densification and sparsification in human contact networks11
Academic support network reflects doctoral experience and productivity11
Can Google Trends predict asylum-seekers’ destination choices?11
Open data and quantitative techniques for anthropology of road traffic11
The simpliciality of higher-order networks11
News sharing on Twitter reveals emergent fragmentation of media agenda and persistent polarization10
The Russian invasion of Ukraine selectively depolarized the Finnish NATO discussion on Twitter10
Temporal patterns of reciprocity in communication networks10
Misinformation is not about bad facts: an analysis of the production and consumption of fringe content10
Learning to cluster urban areas: two competitive approaches and an empirical validation10
Entropy-based text feature engineering approach for forecasting financial liquidity changes10
A supervised system for curating browsing whitelists for individuals with cognitive disabilities under legal guardianship10
Endogenous labour flow networks9
Large scale analysis of gender bias and sexism in song lyrics9
Keep your friends close, and your enemies closer: structural properties of negative relationships on Twitter9
Integrating Large Language Models and knowledge graphs to capture political viewpoints in news media9
Understanding the spatial and temporal impact of global events through large-scale social media data9
Large-scale digital signatures of emotional response to the COVID-19 vaccination campaign9
Engagement with political videos on TikTok during the 2025 German federal election9
Forecasting patient flows with pandemic induced concept drift using explainable machine learning9
Linking physical violence to women’s mobility in Chile8
Detecting political biases of named entities and hashtags on Twitter8
UTDRM: unsupervised method for training debunked-narrative retrieval models8
Social media warfare: investigating human-bot engagement in English, Japanese and German during the Russo-Ukrainian war on Twitter and Reddit8
When dialects collide: how socioeconomic mixing affects language use8
Studying social networks in the age of computational social science8
Uncovering large inconsistencies between machine learning derived gridded settlement datasets8
Mapping language literacy at scale: a case study on Facebook8
Connectivity and community structure of online and register-based social networks8
Is it getting harder to make a hit? Evidence from 65 years of US music chart history8
The dimensions of accessibility: proximity, opportunities, values8
Structural gender imbalances in ballet collaboration networks7
Quantifying interdisciplinary synergy in higher STEM education7
Analyzing user ideologies and shared news during the 2019 argentinian elections7
Design and analysis of tweet-based election models for the 2021 Mexican legislative election7
Has Covid-19 permanently changed online purchasing behavior?7
The right to audit and power asymmetries in algorithm auditing7
Enhancing smart city crowd management through behavioral data-driven human-robot collaborative navigation7
Spatio-temporal changes in racial segregation and diversity in large US cities from 1990 to 2020: a visual data analysis7
Personalisation and profiling using algorithms and not-so-popular Colombian music: goal-directed mechanisms in music emotion recognition7
Charting mobility patterns in the scientific knowledge landscape7
The global dissemination of COVID-19 through two coexisting international transmission patterns7
Construction and analysis of corporate greenwashing index: a deep learning approach7
Evaluating Twitter’s algorithmic amplification of low-credibility content: an observational study7
The role of transport systems in housing insecurity: a mobility-based analysis7
LEIA: Linguistic Embeddings for the Identification of Affect7
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