Analyzing and modeling real-world phenomena with complex networks: a survey of applications
The success of new scientific areas can be assessed by their potential in contributing to new
theoretical approaches and in applications to real-world problems. Complex networks have …
theoretical approaches and in applications to real-world problems. Complex networks have …
The AlpArray seismic network: a large-scale European experiment to image the Alpine Orogen
The AlpArray programme is a multinational, European consortium to advance our
understanding of orogenesis and its relationship to mantle dynamics, plate reorganizations …
understanding of orogenesis and its relationship to mantle dynamics, plate reorganizations …
Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies
We offer a systematic analysis of the use of deep learning networks for stock market analysis
and prediction. Its ability to extract features from a large set of raw data without relying on …
and prediction. Its ability to extract features from a large set of raw data without relying on …
Structure and tie strengths in mobile communication networks
Electronic databases, from phone to e-mails logs, currently provide detailed records of
human communication patterns, offering novel avenues to map and explore the structure of …
human communication patterns, offering novel avenues to map and explore the structure of …
[BOOK][B] The structure of complex networks: theory and applications
E Estrada - 2012 - books.google.com
This book deals with the analysis of the structure of complex networks by combining results
from graph theory, physics, and pattern recognition. The book is divided into two parts. 11 …
from graph theory, physics, and pattern recognition. The book is divided into two parts. 11 …
[BOOK][B] Complex networks: structure, robustness and function
Examining important results and analytical techniques, this graduate-level textbook is a step-
by-step presentation of the structure and function of complex networks. Using a range of …
by-step presentation of the structure and function of complex networks. Using a range of …
Intensity and coherence of motifs in weighted complex networks
The local structure of unweighted networks can be characterized by the number of times a
subgraph appears in the network. The clustering coefficient, reflecting the local configuration …
subgraph appears in the network. The clustering coefficient, reflecting the local configuration …
Technology status and trends of industrial wastewater treatment: a patent analysis
Abstract Globally, 80% of wastewater, among which 28% came from industry, returned to the
ecosystem without treatment or reuse. The discharge of industrial wastewater poses public …
ecosystem without treatment or reuse. The discharge of industrial wastewater poses public …
Explain systemic risk of commodity futures market by dynamic network
C He, K Huang, J Lin, T Wang, Z Zhang - International Review of Financial …, 2023 - Elsevier
Since inflation of commodities is becoming more and more severe recently caused by many
macro events, such as COVID-19 and Russian-Ukrainian conflict, systemic risk of commodity …
macro events, such as COVID-19 and Russian-Ukrainian conflict, systemic risk of commodity …
Extreme risk spillover network: application to financial institutions
Using the CAViaR tool to estimate the value-at-risk (VaR) and the Granger causality risk test
to quantify extreme risk spillovers, we propose an extreme risk spillover network for …
to quantify extreme risk spillovers, we propose an extreme risk spillover network for …