Analysis and Models in Interdisciplinary Mathematics 2016
1Universidad Politécnica de Valencia, Valencia, Spain
2University of Texas At Arlington, Arlington, USA
3Centro de Investigación en Matemáticas (CIMAT), Guanajuato, Mexico
Analysis and Models in Interdisciplinary Mathematics 2016
Description
Mathematical modeling is an active area of applied mathematics. At its beginning, engineers were the main practitioners of this area of mathematics, developing mathematical models for solving engineering problems in natural sciences.
Recently, mathematical modeling of social behavior, such as addictions, social disorders, or educational achievements, has emerged. A paramount issue in the study of social behavior is social contagion, not only by the influence of the Internet and social networking, but also by mimetic human behavior.
Analysis methods and models in social sciences are similar to those of nature sciences including engineering, with the only difference that instead of using principles of the nature one uses principles or theories from experts of such sciences.
In this special issue we try to integrate novel mathematical models and methods not only in the scope of traditional natural sciences but also in opening the scope to the social sciences framework. Also, theory and data-driven models, even in a synergy that gives rise to producing fertile, multidisciplinary, and hybrid models, are considered.
Potential topics include, but are not limited to:
- Mathematical modeling in social sciences
- Educational models and methods
- Social and medical disorders modelling
- Social networks
- Deterministic differential equations: methods and models
- Random differential equations: methods and models
- Optimization and evolutionary algorithms
- Numeric and modeling analysis
- Engineering models and simulation
- Algebraic models and methods with applications
- Intelligent data analysis