2017 Impact factor 1.393
Atomic, Molecular, Optical and Plasma Physics

EPJ Data Science Highlight - A model to predict Airbnb distribution in cities

Photo by Erol Ahmed on Unsplash

The distribution of Airbnb listings has been the topic of much discussion among citizens and policy-makers, particularly in major cities. In an article published in EPJ Data Science, Giovanni Quattrone and colleagues looked into the many factors determining the spacial penetration of Airbnb in urban centers and developed a model that aims to predict this distribution in other cities. Among others, the presence of creative communities emerges as an important factor in the adoption of the housing plaftform.

(Guest post by Giovanni Quatronne, originally published on the SpringerOpen blog)


EPJ Data Science Highlight - Controlling epidemics using mobile phone data

© CC0 Creative Commons, Pixabay

Mobile data can be (and has been) used to study a vast number of subjects related to human behavior. One of its potential applications is on epidemics, a complex field that is informed not only by healthcare, but also social interactions and human mobility. In this blog post, Stefania Rubrichi explains the context in which her team used a real mobile phone dataset in an attempt to better understand and tackle the spread of diseases. Their study was just published in the journal EPJ Data Science.

(Guest post by Stefania Rubrichi, originally published on the SpringerOpen blog)


EPJ Data Science Highlight - Academic performance and behavioral patterns

Photo by Nathan Dumlao on Unsplash

In an article just published in EPJ Data Science, Valentin Kassarnig, Sune Lehmann and Andreas Bjerre-Nielsen look into smartphone data of undergraduate students to assess factors influencing social behavior and educational performance.

(Guest post by Valentin Kassarnig, Sune Lehmann & Andreas Bjerre-Nielsen, originally published on the SpringerOpen blog)


T. Calarco, H. Kersten and A.V. Solov'yov
Thank you very much for the super-efficient handling of my manuscript.

Xin Zhang

ISSN (Print Edition): 1434-6060
ISSN (Electronic Edition): 1434-6079

© EDP Sciences, Società Italiana di Fisica and Springer-Verlag