Complexity in Neural and Financial Systems: From Time‐Series to Networks | Zendy

Tiziano Squartini | Zendy; Andrea Gabrielli | Zendy; Diego Garlaschelli | Zendy; Tommaso Gili | Zendy; Angelo Bifone | Zendy; Fabio Caccioli | Zendy

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Complexity in Neural and Financial Systems: From Time‐Series to Networks

Author(s) -

Tiziano Squartini,

Andrea Gabrielli,

Diego Garlaschelli,

Tommaso Gili,

Angelo Bifone,

Fabio Caccioli

Publication year - 2018

Publication title -

complexity

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.447

H-Index - 61

eISSN - 1099-0526

pISSN - 1076-2787

DOI - 10.1155/2018/3132940

Subject(s) - computer science , series (stratigraphy) , signature (topology) , complex system , artificial neural network , artificial intelligence , data science , machine learning , mathematics , paleontology , geometry , biology

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.

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