EPJ Data Science covers a broad range of research areas and applications and particularly encourages contributions from techno-socio-economic systems, where it comprises those research lines that now regard the digital “tracks” of human beings as first-order objects for scientific investigation. Topics include, but are not limited to, human behavior, social interaction (including animal societies), economic and financial systems, management and business networks, socio-technical infrastructure, health and environmental systems, the science of science, as well as general risk and crisis scenario forecasting up to and including policy advice.
EPJ数据科学涵盖广泛的研究领域和应用,特别鼓励技术-社会-经济系统的贡献,其中包括那些现在将人类的数字“轨迹”视为科学调查的第一级对象的研究线。主题包括但不限于人类行为、社会互动(包括动物社会)、经济和金融系统、管理和商业网络、社会技术基础设施、健康和环境系统、科学,以及一般风险和危机情景预测,包括政策建议。
Centrality in modular networks
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0195-7
Quantifying echo chamber effects in information spreading over political communication networks
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0213-9
Nowcasting earthquake damages with Twitter
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0181-0
Psychology and morality of political extremists: evidence from Twitter language analysis of alt-right and Antifa
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0193-9
Large-scale and high-resolution analysis of food purchases and health outcomes
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0191-y
Quantifying human mobility resilience to extreme events using geo-located social media data
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0196-6
Corporate payments networks and credit risk rating
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0197-5
Reciprocity and impact in academic careers
来源期刊:EPJ Data ScienceDOI:10.1140/EPJDS/S13688-019-0199-3
Weak signals in the mobility landscape: car sharing in ten European cities
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0186-8
Quantifying gender preferences in human social interactions using a large cellphone dataset
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0185-9
Assessing the risk of default propagation in interconnected sectoral financial networks
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0211-y
Responsible team players wanted: an analysis of soft skill requirements in job advertisements
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0190-z
Complete trajectory reconstruction from sparse mobile phone data
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0206-8
Explore with caution: mapping the evolution of scientific interest in physics
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0205-9
Segregation in religion networks
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0184-x
Gendered behavior as a disadvantage in open source software development
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0202-z
Understanding news outlets’ audience-targeting patterns
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0194-8
The higher education space: connecting degree programs from individuals’ choices
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0218-4
Mapping individual behavior in financial markets: synchronization and anticipation
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0188-6
Mapping the physics research space: a machine learning approach
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0210-z
Success in books: predicting book sales before publication
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0208-6
The dynamics of collective social behavior in a crowd controlled game
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0200-1
Gender-specific preference in online dating
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0192-x
Inside 50,000 living rooms: an assessment of global residential ornamentation using transfer learning
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0182-z
Activism via attention: interpretable spatiotemporal learning to forecast protest activities
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0183-y
What did you see? A study to measure personalization in Google’s search engine
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0217-5
Predicting and explaining behavioral data with structured feature space decomposition
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0201-0
From individual to collective behaviours: exploring population heterogeneity of human mobility based on social media data
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0212-x
Offline biases in online platforms: a study of diversity and homophily in Airbnb
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0189-5
Urban groups: behavior and dynamics of social groups in urban space
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0187-7
Testing Heaps’ law for cities using administrative and gridded population data sets
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0203-y
Gravity law in the Chinese highway freight transportation networks
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0216-6
Identifying the most influential roads based on traffic correlation networks
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0207-7
Characteristics of human mobility patterns revealed by high-frequency cell-phone position data
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-021-00261-2
Correction to: Gendered behavior as a disadvantage in open source software development
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0209-5
Following the footsteps of giants: modeling the mobility of historically notable individuals using Wikipedia
来源期刊:EPJ Data ScienceDOI:10.1140/epjds/s13688-019-0215-7
Cities of a feather flock together: a study on the synchronization of communication between Italian cities
来源期刊:EPJ Data ScienceDOI:10.1140/EPJDS/S13688-019-0198-4