We first apply singular spectrum analysis (SSA) to the international sunspot number (1849–
2015) and the count of polar faculae (1906–2006). The SSA method finds 22‐, 11‐, and 5.5 …

The design of agile supply chain networks has attracted more attention in recent years
according to the competitive business environment. Further, due to high degree of …

Common dynamical properties of business cycle fluctuations are studied in a sample of
more than 100 countries that represent economic regions from all around the world. We …

Observability is the property that enables recovering the state of a dynamical system from a
reduced number of measured variables. In high-dimensional systems, it is therefore …

We study the influence of interannual climate variability on the economy of several countries
in the Sahel region. In the agricultural sector, we are able to identify coupled climate …

Multivariate singular spectrum analysis (M-SSA) was recently adapted to study systems of
coupled oscillators. It does not require an a priori definition for phase nor detailed …

Structural changes in a network representation of a system, due to different experimental
conditions, different connectivity across layers, or to its time evolution, can provide insight on …

Multivariate singular spectrum analysis (M-SSA), with a structured varimax rotation, is a
method that allows a deep characterization of phase synchronization (PS) phenomena in an …

This study aims to identify the required factors to develop and evaluate a social commerce
model for Saudi Arabia. A mixed-methods approach was adopted to assess the model …

Multivariate singular spectrum analysis (M-SSA) is a useful tool to detect phase
synchronization (PS) without any a priori need for phase estimation. The discriminatory …