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

Journal article

Open access

Peer reviewed

Tiziano Squartini, Andrea Gabrielli, Diego Garlaschelli, Tommaso Gili, Angelo Bifone and Fabio Caccioli

Complexity (New York, N.Y.), Vol.2018, pp.1-2

2018-01-01

Abstract

Mathematics

Mathematics, Interdisciplinary Applications

Multidisciplinary Sciences

Physical Sciences

Science & Technology

Science & Technology - Other Topics

url

https://doi.org/10.1155/2018/3132940View

Published (Version of record) Open

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Collaboration types: Domestic collaboration; International collaboration
Citation topics: 6 Social Sciences; 6.317 Risk Assessment; 6.317.2518 Sustainable Development
Web Of Science research areas: Mathematics, Interdisciplinary Applications
ESI research areas: Mathematics

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Title: Complexity in Neural and Financial Systems: From Time-Series to Networks
Creators: Tiziano Squartini - IMT School for Advanced Studies Lucca
Andrea Gabrielli - Sapienza University of Rome
Diego Garlaschelli - IMT School for Advanced Studies Lucca
Tommaso Gili - IMT School for Advanced Studies Lucca
Angelo Bifone - Italian Institute of Technology
Fabio Caccioli - University College London
Publication Details: Complexity (New York, N.Y.), Vol.2018, pp.1-2
Publisher: Wiley-Hindawi
Number of pages: 2
Academic Unit: Miller School of Medicine; UMMG Department of Anesthesiology
Language: English
Resource Type: Journal article
Record Identifier: 991031714192702976