Complexity and systems science: study of its current impact
Abstract
INTRODUCTION. This paper presents an approximate approach to the current impact of the complexity and systems sciences through the analysis of some indicators of their written scientific production. OBJECTIVE. Specify what are the sciences of complexity and systems, and perform the analysis of their current impact through different methods and techniques to visualize their contributions and relationships. METHOD. A simulation model was established through the methodology of Social Network Analysis (SNA), based on the attributes of the multidisciplinary network designed for complexity and systems sciences, along with other visualization techniques. RESULTS. The results indicate that control and dynamic systems, dynamic systems, and systems biology dominate the terrain of scientific complexity. In addition, an important contribution was made by the computational social sciences to the field of complexity from fields such as Agent Based Modelling and Simulation and the Social Network Analysis. DISCUSSION AND CONCLUSIONS. It concludes on the need to continue the transdisciplinary explorations between the canonical fields of complexity and systems sciences, and the computational social sciences.
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