The main goal of this paper is to show how the scientific production of advanced western countries is distributed and connected in global networks. Together with various indicators for the evaluation of the journal, the database used is provided by Scopus, the most comprehensive for dimension and variety in representing international scientific production. An elementary statistics is not suitable for this task: different journals are linked with different countries, with many indices in a complex many to many relations. Therefore a new artificial adaptive system, named Atemporal Target Diffusion Model (ATDM, for short), will be used for this analysis. ATDM has already proved to be capable of detecting hidden and meaningful relations in different datasets, where traditional multivariate linear algorithms fail . The use of ATDM gives a more comprehensive support for the evaluation of the countries’ scientific production. A comparison of two other models will confirm this assumption.
|Titolo:||The non-linear relationship between scientific production and national states' journals|
|Autori:||Ferilli, Guido; Buscema, Massimo; Sacco, Pier Luigi|
|Rivista:||ADVANCES IN COMPUTER SCIENCE AND ENGINEERING|
|Data di pubblicazione:||2012|
|Citazione:||The non-linear relationship between scientific production and national states' journals, 2012.|
|Appare nelle tipologie:||01 - Articolo su rivista|