Abstract
Many publications discuss how some region became the smartest one in the world. One of the underlying issues is how certain sociological mechanisms lead to the emergence of patterns according to what sometimes are called self-organizing systems. To analyse this, this paper exploits computational modeling based on (multi-order) adaptive network models and inspired by fields addressing self-organizing systems.
Original language | English |
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Title of host publication | Data Science and Intelligent Systems |
Subtitle of host publication | Proceedings of 5th Computational Methods in Systems and Software 2021, Vol. 2 |
Editors | Radek Silhavy, Petr Silhavy, Zdenka Prokopova |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 166-182 |
Number of pages | 17 |
Volume | 2 |
ISBN (Electronic) | 9783030903213 |
ISBN (Print) | 9783030903206 |
DOIs | |
Publication status | Published - 2021 |
Event | 5th Computational Methods in Systems and Software, CoMeSySo 2021 - Virtual, Online Duration: 1 Oct 2021 → 1 Oct 2021 |
Publication series
Name | Lecture Notes in Networks and Systems |
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Publisher | Springer |
Volume | 231 LNNS |
ISSN (Print) | 2367-3370 |
ISSN (Electronic) | 2367-3389 |
Conference
Conference | 5th Computational Methods in Systems and Software, CoMeSySo 2021 |
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City | Virtual, Online |
Period | 1/10/21 → 1/10/21 |
Bibliographical note
Publisher Copyright:© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.