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期刊名:Epj data science

缩写:EPJ DATA SCI

ISSN:N/A

e-ISSN:2193-1127

IF/分区:2.5/Q1

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共收录本刊相关文章索引100
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Nicholas W Landry,Jean-Gabriel Young,Nicole Eikmeier Nicholas W Landry
Higher-order networks are widely used to describe complex systems in which interactions can involve more than two entities at once. In this paper, we focus on inclusion within higher-order networks, referring to situations where specific en...
Zak Hussain,Rui Mata,Dirk U Wulff Zak Hussain
We assess whether the classic psychometric paradigm of risk perception can be improved or supplanted by novel approaches relying on language embeddings. To this end, we introduce the Basel Risk Norms, a large data set covering 1004 distinct...
Timon Elmer Timon Elmer
Puberty is a phase in which individuals often test the boundaries of themselves and surrounding others and further define their identity - and thus their uniqueness compared to other individuals. Similarly, as Computational Social Science (...
Segun Taofeek Aroyehun,Lukas Malik,Hannah Metzler et al. Segun Taofeek Aroyehun et al.
The wealth of text data generated by social media has enabled new kinds of analysis of emotions with language models. These models are often trained on small and costly datasets of text annotations produced by readers who guess the emotions...
R Maria Del Rio-Chanona,Alejandro Hermida-Carrillo,Melody Sepahpour-Fard et al. R Maria Del Rio-Chanona et al.
To study the causes of the 2021 Great Resignation, we use text analysis and investigate the changes in work- and quit-related posts between 2018 and 2021 on Reddit. We find that the Reddit discourse evolution resembles the dynamics of the U...
Vincenzo Perri,Luka V Petrović,Ingo Scholtes Vincenzo Perri
Many network analysis and graph learning techniques are based on discrete- or continuous-time models of random walks. To apply these methods, it is necessary to infer transition matrices that formalize the underlying stochastic process in a...
Fatima Ezzeddine,Omran Ayoub,Silvia Giordano et al. Fatima Ezzeddine et al.
The detection of state-sponsored trolls operating in influence campaigns on social media is a critical and unsolved challenge for the research community, which has significant implications beyond the online realm. To address this challenge,...
Francesco Pierri,Luca Luceri,Emily Chen et al. Francesco Pierri et al.
Social media moderation policies are often at the center of public debate, and their implementation and enactment are sometimes surrounded by a veil of mystery. Unsurprisingly, due to limited platform transparency and data access, relativel...
Melody Sepahpour-Fard,Michael Quayle,Maria Schuld et al. Melody Sepahpour-Fard et al.
This paper explores how individuals' language use in gender-specific groups ("mothers" and "fathers") compares to their interactions when referred to as "parents." Language adaptation based on the audience is well-documented, yet large-scal...
Nicolò Gozzi,Niccolò Comini,Nicola Perra Nicolò Gozzi
Adherence to the non-pharmaceutical interventions (NPIs) put in place to mitigate the spreading of infectious diseases is a multifaceted problem. Several factors, including socio-demographic and socio-economic attributes, can influence the ...