Epj Data Science

雜志介紹

Epj Data Science雜志介紹

《Epj Data Science》是一本以English為主的開放獲取國際優秀期刊，中文名稱Epj 數據科學，本刊主要出版、報道計算機科學-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS領域的研究動態以及在該領域取得的各方面的經驗和科研成果，介紹該領域有關本專業的最新進展，探討行業發展的思路和方法，以促進學術信息交流，提高行業發展。該刊已被國際權威數據庫SCIE、SSCI收錄，為該領域相關學科的發展起到了良好的推動作用，也得到了本專業人員的廣泛認可。該刊最新影響因子為3，最新CiteScore 指數為6.1。

本刊近期中國學者發表的論文主要有：

• Segregation in religion networks

  Author: Jiantao Hu, Qian-Ming Zhang, Tao Zhou

• Individual position diversity in dependence socioeconomic networks increases economic output

  Author: Wen-Jie Xie, Yan-Hong Yang, Ming-Xia Li, Zhi-Qiang Jiang, Wei-Xing Zhou

• Measuring economic activity in China with mobile big data

  Author: Lei Dong, Sicong Chen, Yunsheng Cheng, Zhengwei Wu, Chao Li, Haishan Wu

• Comparison of traffic reliability index with real traffic data

  Author: Limiao Zhang, Guanwen Zeng, Shengmin Guo, Daqing Li, Ziyou Gao

英文介紹

Epj Data Science雜志英文介紹

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.