Squartini, T;
Gabrielli, A;
Garlaschelli, D;
Gili, T;
Bifone, A;
Caccioli, F;
(2018)
Complexity in Neural and Financial Systems: From Time-Series to Networks.
[Editorial comment].
Complexity
, 2018
, Article 3132940. 10.1155/2018/3132940.
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Abstract
When can a system be unambiguously defined as “complex”? Although many real-world systems are believed to bear the signature of complexity, the question above remains unanswered. Our special issue aims at contributing to this ongoing discussion by collecting a number of studies tackling two aspects of complexity that have recently gained increasing attention: the temporal one and the structural one.
| Type: | Article |
|---|---|
| Title: | Complexity in Neural and Financial Systems: From Time-Series to Networks |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1155/2018/3132940 |
| Publisher version: | https://doi.org/10.1155/2018/3132940 |
| Language: | English |
| Additional information: | © 2018 Tiziano Squartini et al. This is an open access article distributed under the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10050321 |
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