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EPJ Data Science Highlight - Twitter’s tampered samples: Limitations of big data sampling in social media

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Published on 16 January 2019

Social networks are widely used as sources of data in computational social science studies, and so it is of particular importance to determine whether these datasets are bias-free. In EPJ Data Science, Jürgen Pfeffer, Katja Mayer and Fred Morstatter demonstrate how Twitter’s sampling mechanism is prone to manipulation that could influence how researchers, journalists, marketeers and policy analysts interpret their data.

(Guest post by Jürgen Pfeffer, Katja Mayer and Fred Morstatter, originally published in the SpringerOpen blog)

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EPJ Data Science Highlight - Listening to the changes in the urban rhythm

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Published on 01 October 2018

Cities evolve and undergo constant re-organisation as their population grow. This evolving process makes cities resilient and adaptive but also poses a challenge to analyse urban phenomena. For a long time, there has been evidence that suggests temporal and spatial regularities in crime, but so far studies about this have been based on the assumption that cities are static. A new study published in EPJ Data Science takes these factors into consideration and analyses spatio-temporal variation in criminal occurrences.

(Guest post by Marcos Oliveira & Ronaldo Menezes, originally published on the SpringerOpen blog)

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

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Published on 19 September 2018

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)

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