In this study, a modeling method to analyze multidimensional time series based on complex networks is proposed. The rate of return sequence of the closing price and the trading volume fluctuation sequence of the Shanghai Composite Index, the Shenzhen Component Index, the S & P 500 index, and the Dow Jones Industrial Average are analyzed. The two-dimensional time series is transformed into a com...

The R-Tree and variant indexes have been used for multidimensional indexing since 1984 and applied to temporal data since 1994. Despite this, there are few functional implementations of the index that can be applied directly to the temporal data. This paper explores the use of the index for temporal subsequence searches and identifies two implications that must be considered so the index can be...

Child multidimensional deprivation and poverty is a key challenge to achieving sustainable development. The aim of this paper present apply new composite index for evaluating the progress towards eradicating child poverty: Multidimensional Deprivation Index (CMDI). This stems from foundational literature on that rooted in work started by UNICEF based seven core dimensions deprivation, while con...

Countries with large territories marked by heterogeneity lack tools to monitor their distinct food systems sustainability. The multidimensional index for sustainable (MISFS) was designed measure system sustainability locally, using the Brazilian territory. aim two-fold: present MISFS updating process (MISFS-R), and show applicability of MISFS-R uncover local geopolitical priorities. Methods: Ba...