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Editorial

Special Issue “Computational Social Science”

by 1,2,3,*, 2,4,5 and 2
1
Department of Network and Data Science, Central European University, 1051 Budapest, Hungary
2
Department of Computer Science, Aalto University School of Science, 00076 Aalto, Finland
3
IIMAS, Universidad Nacional Autonóma de México, Ciudad de México 01000, Mexico
4
Asia Pacific Center for Theoretical Physics, Pohang 37673, Korea
5
Department of Physics, Pohang University of Science and Technology, Pohang 37673, Korea
*
Author to whom correspondence should be addressed.
Information 2019, 10(10), 307; https://doi.org/10.3390/info10100307
Received: 29 September 2019 / Accepted: 29 September 2019 / Published: 1 October 2019
(This article belongs to the Special Issue Computational Social Science)
Note: In lieu of an abstract, this is an excerpt from the first page.

The last centuries have seen a great surge in our understanding and control of “simple” physical, chemical, and biological processes through data analysis and the mathematical modeling of their underlying dynamics [...] View Full-Text
MDPI and ACS Style

Iñiguez, G.; Jo, H.-H.; Kaski, K. Special Issue “Computational Social Science”. Information 2019, 10, 307. https://doi.org/10.3390/info10100307

AMA Style

Iñiguez G, Jo H-H, Kaski K. Special Issue “Computational Social Science”. Information. 2019; 10(10):307. https://doi.org/10.3390/info10100307

Chicago/Turabian Style

Iñiguez, Gerardo, Hang-Hyun Jo, and Kimmo Kaski. 2019. "Special Issue “Computational Social Science”" Information 10, no. 10: 307. https://doi.org/10.3390/info10100307

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