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EPJ Data Science - European Physical Journal.

EPJ Data Science is a peer-reviewed open access journal published under the SpringerOpen brand.Data-driven science is rapidly emerging as a complementary. From individual to collective behaviours: exploring population heterogeneity of human mobility based on social media data Yuan Liao, Sonia Yeh and Gustavo S. Jeuken EPJ Data Sci., 8 1 2019 34. EPJ Data Science is a peer-reviewed open access journal published under the SpringerOpen brand. Data-driven science is rapidly emerging as a complementary approach to. EPJ Data Science operates a single-blind peer-review system, where the reviewers are aware of the names and affiliations of the authors, but the reviewer reports provided to authors are anonymous Publication of research articles by EPJ Data Science is dependent primarily on their scientific validity and coherence as judged by our external. Instant formatting template for EPJ Data Science guidelines. Download formatted paper in docx and LaTeX formats. Find journal impact factor, acceptance rate and much more for.

– how to extract meaningful data from systems with ever increasing complexity – how to analyse them in a way that allows new insights – how to generate data that is needed but not yet available – how to find new empirical laws, or more fundamental theories, concerning how. The Standard Abbreviation ISO4 of EPJ Data Science is EPJ Data Sci. EPJ Data Science should be cited as EPJ Data Sci. for abstracting, indexing and referencing purposes. EPJ Data Science is a peer-reviewed open access journal published under the SpringerOpen brand and spans a range of research areas with a focus on data-driven science A platform for discussing the application of data-driven approaches across many disciplines with emphasis on techno-socio-economic systems Covers extraction, analysis, enrichment. The EPJ portal gives you access to EPJA, EPJB, EPJC, EPJD, EPJE, EPJAP, EPJST, EPJH, EPJPlus, EPJ Data Science, EPJ Photovoltaics, EPJ Web of Conferences, EPJ Nonlinear Biomedical Physics, EPJ Techniques and Instrumentation, EPJ Quantum Technology, EPJ Applied Metamaterials. The CODATA Data Science Journal is a peer-reviewed, open access, electronic journal, publishing papers on the management, dissemination, use and reuse of research data and databases across all research domains, including science, technology, the humanities and the arts. The scope of the journal includes descriptions of data systems, their.

晟斯医学整理了EPJ Data Science期刊影响因子数据,中科院JCR分区与学科排名数据,CiteScore学科排名数据,期刊的基础信息参数与简介,通过页面下方的投稿经验可以了解到偏重的研究方向、审稿周期等相关信息,以综合的数据为投稿者提供参考。. As such, articles mainly applying classical statistics tools to data sets or with a focus on programming and related software issues are outside the scope of this journal. EPJ Data Science covers a broad range of research areas and applications and particularly encourages contributions from techno-socio-economic systems, where it comprises. The European Physical Journal D EPJ D presents new and original research results in Atomic, Molecular, Optical and Plasma Physics. Latest articles in this journal From individual to collective behaviours: exploring population heterogeneity of human mobility based on social media data. Yuan Liao, Sonia Yeh, Gustavo S. Jeuken. Published: 14 November 2019. by Springer Science and Business Media LLC. in EPJ Data Science EPJ Data Science, Volume 8. EPJ Data Science is an Open Access OA Journal. Open Access stands for unrestricted access and unrestricted reuse. With Open Access, researchers can read and build on the findings of.

《epj data sci》发布于爱科学网,并永久归类相关sci期刊导航类别中,本站只是硬性分析 "《epj data sci》" 的杂志可信度。杂志真正的价值在于它是否为社会的发展带来积极促进作用。"《epj data sci》" 的价值还取决于各种因素的综合分析。. The European Physical Journal or EPJ is a joint publication of EDP Sciences, Springer ScienceBusiness Media, and the Società Italiana di Fisica. It arose in 1998 as a merger and continuation of Acta Physica Hungarica, Anales de Física, Czechoslovak Journal of Physics, Il Nuovo Cimento, Journal de Physique, Portugaliae Physica and Zeitschrift für Physik. 《Journal of Materials Research and Technology-JMR&T》 影响因子:3.327分 《JOURNAL OF COMPUTER AND SYSTEMS SCIENCES INTERNATIONAL》 影响因子:0.513分 《IEEE SENSORS JOURNAL》 影响因子:3.076分 《Nanophotonics》 影响因子:6.908分 《Science China-Technological Sciences》 影响因子:2.18分. 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.

EPJ Data Science is a platform for discussing the challenges of applying data-driven science to a range of research areas, with a focus on techno-socio-economic systems including human and animal social behavior and interaction, economic and financial systems, management and business networks, socio-technical infrastructure, health and. Up to Journal. EPJ Data Science. ISSN: 2193-1127 Online All Volumes & Issues. Volumes; Topical Collections; Volume 8 December 2019. December 2019, Issue 1, Articles 1-34 Volume 7 December 2018. Volume 6 December 2017. Volume 5. The latest Tweets from EPJ Data Science @epj_ds. A @SpringerOpen journal covering all aspects of DataScience with a strong focus on computational social and economic sciences. Part of the @EPJscience family. Joint Annual Meeting of the Swiss and Austrian Physical Societies 26-30 August 2019 Zurich, Switzerland.

The scientific journal EPJ Data Science is included in the Scopus database. Publisher country is United States of America. The main subject areas of published articles are Computer Science Applications, Computational Mathematics, Modelling and Simulation.

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