Reconstruction of complex networks from causal information: analyzing, identifying, and distinguishing dependencies (2020)
- Authors:
- USP affiliated authors: PINTO, DIOGO DE OLIVEIRA SOARES - IFSC ; RODRIGUES, FRANCISCO APARECIDO - ICMC ; MARTINELLI, TIAGO - IFSC
- Unidades: IFSC; ICMC
- Subjects: BIG DATA; REDES COMPLEXAS; TEORIA DA INFORMAÇÃO
- Keywords: Causality theory; Network science; Informational analysis
- Language: Inglês
- Imprenta:
- Publisher: Instituto de Física de São Carlos - IFSC
- Publisher place: São Carlos
- Date published: 2020
- Source:
- Título: Livro de Resumos
- Conference titles: Semana Integrada do Instituto de Física de São Carlos - SIFSC
-
ABNT
MARTINELLI, Tiago e PINTO, Diogo de Oliveira Soares e RODRIGUES, Francisco Aparecido. Reconstruction of complex networks from causal information: analyzing, identifying, and distinguishing dependencies. 2020, Anais.. São Carlos: Instituto de Física de São Carlos - IFSC, 2020. Disponível em: https://drive.google.com/file/d/1zSpq9v0UajXDmQq5rhvZXa6H1S1icuwc/view. Acesso em: 10 out. 2024. -
APA
Martinelli, T., Pinto, D. de O. S., & Rodrigues, F. A. (2020). Reconstruction of complex networks from causal information: analyzing, identifying, and distinguishing dependencies. In Livro de Resumos. São Carlos: Instituto de Física de São Carlos - IFSC. Recuperado de https://drive.google.com/file/d/1zSpq9v0UajXDmQq5rhvZXa6H1S1icuwc/view -
NLM
Martinelli T, Pinto D de OS, Rodrigues FA. Reconstruction of complex networks from causal information: analyzing, identifying, and distinguishing dependencies [Internet]. Livro de Resumos. 2020 ;[citado 2024 out. 10 ] Available from: https://drive.google.com/file/d/1zSpq9v0UajXDmQq5rhvZXa6H1S1icuwc/view -
Vancouver
Martinelli T, Pinto D de OS, Rodrigues FA. Reconstruction of complex networks from causal information: analyzing, identifying, and distinguishing dependencies [Internet]. Livro de Resumos. 2020 ;[citado 2024 out. 10 ] Available from: https://drive.google.com/file/d/1zSpq9v0UajXDmQq5rhvZXa6H1S1icuwc/view - Classyfying phenotypes using information theory
- The deluge of spurious information in causal network inference
- A causal approach to recover networks fromdata
- Causal modeling in high-order scenarios: unfolding mechanisms by moving across scales
- Reconstruction of networks from causal information
- Evolução sem evolução: assimetria e a emergência do tempo na teoria quântica
- Unfolding the complexity of the global value chain: strength and entropy in the single-layer, multiplex, and multi-layer international trade networks
- On degree–degree correlations in multilayer networks
- Synchronization in clustered random networks
- Analysis of cluster explosive synchronization in complex networks
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