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EPJ Data Science, Vol. 9, 2020

1. News and the city: understanding online press consumption patterns through mobile data. --Salvatore Vilella, Daniela Paolotti, Giancarlo Ruffo and Leo Ferres.
2. Success and luck in creative careers. --Milán Janosov, Federico Battiston and Roberta Sinatra.
3. A new set of cluster driven composite development indicators. --Anshul Verma, Orazio Angelini and Tiziana Di Matteo.
4. Fake news propagates differently from real news even at early stages of spreading. --Zilong Zhao, Jichang Zhao, Yukie Sano, Orr Levy, Hideki Takayasu, Misako Takayasu, Daqing Li, Junjie Wu and Shlomo Havlin.
5. Measuring the effect of node aggregation on community detection. --Yérali Gandica, Adeline Decuyper, Christophe Cloquet, Isabelle Thomas and Jean-Charles Delvenne.
6. Measuring and mitigating behavioural segregation using Call Detail Records. --Daniel Rhoads, Ivan Serrano, Javier Borge-Holthoefer and Albert Solé-Ribalta.
7. The shocklet transform: a decomposition method for the identification of local, mechanism-driven dynamics in sociotechnical time series. --David Rushing Dewhurst, Thayer Alshaabi, Dilan Kiley, Michael V. Arnold, Joshua R. Minot, Christopher M. Danforth and Peter Sheridan Dodds.
8. Novelty and influence of creative works, and quantifying patterns of advances based on probabilistic references networks. --Doheum Park, Juhan Nam and Juyong Park.
9. The individual dynamics of affective expression on social media. --Max Pellert, Simon Schweighofer and David Garcia.
etc...
Vilella, Salvatore - Personal Name
Janosov, Milán - Personal Name
Verma, Anshul - Personal Name
Zhao, Zilong - Personal Name
Gandica, Yérali - Personal Name
Rhoads, Daniel - Personal Name
Dewhurst, David Rushing - Personal Name
Park, Doheum - Personal Name
Pellert, Max - Personal Name
Vol. 9, 2020
2193-1127
e-Journal PTI
Inggris
Springer Nature
2020
United Kingdom
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