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EPJ Data Science - Countering crowd control collapse

EPJ Data Science - Countering crowd control collapse
© Angel Herrero de Frutos, iStockphotos, 138179229

Understanding crowd dynamics can prevent disaster at cultural or sports events.

Physicists investigating a recent crowd disaster in Germany found that one of the key causes was that at some point the crowd dynamics turned turbulent, akin to behaviour found in unstable fluid flows. The study, led by Dirk Helbing from the Risk Center at the Swiss Federal Institute of Technology ETH Zurich, Switzerland, is published in EPJ Data Science.

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EPJ Data Science - Positive words: the glue to social interaction

© Jennifer Stone/thinkstock.de

Words charged with a positive emotional content are used more frequently, thus enhancing human communication.

Scientists at ETH Zurich have studied the use of language, finding that words with a positive emotional content are more frequently used in written communication. This result supports the theory that social relations are enhanced by a positive bias in human communication. The study by David Garcia and his colleagues from the Chair of Systems Design is published in the first issue of the new SpringerOpen journal EPJ Data Science, and is freely available to the general public as an Open Access article.

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Editors-in-Chief
M. Strohmaier