Scientific journal
European Journal of Natural History
ISSN 2073-4972


Dobrynina N.F. 1
1 Penza State University

Age dynamics of faculty staff at universities on the basis of cellular automata model was investigated. Quality analysis of number of professors according to their age was performed, the most active age groups were detected.

In the article the social system (faculty staff) is investigated with nonlinear dynamics methods. Research objective is to analyze and forecast the state of the system. Faculty staff current state and progress trends, as well as development of universities scientific potential is analyzed by applying mathematical modeling.

Let us consider mathematical model of the one-dimensional cellular automata class, which allows analyzing age structure dynamics of faculty staff. We are going to model each faculty staff age category of the same kind with one element of the cellular automata, value of which characterizes number in this category. Model, which was the basis for staff analysis, was designed for age groups with 10 years gap: 25–29 years, 30–39 years, …, above 60 years.

Transition from one age group to another takes one discrete time step corresponding to time interval Δt = 1 year. This transition goes with shift along the space of cellular automata. The element, whose age is at the boundary of the group 29, 39, 49, 59 years, should be transferred to the next age group.

The following factors were taking into account in modeling:

– ageing of each professor with the course of time (transition into next age group of each element of the model);

– retirement of professors who reached corresponding age;

– change of activity by ambitious employees;

– employment of newcomers recently graduated from the university;

– defense of Ph.D. and doctoral thesis with the succeeding professors’ transition to the new category.

Let us describe these factors using cellular automata rule.

Cell dynamics (one year ageing of the employees in one group and of the same age) in each step at a time is computed using the following formula

dobryn01.wmf (1)

with using at the boundary of the cellular automata space (j = 0) the boundary condition

dobryn02.wmf (2)

where the value X0 characterizes the number of young employees annually joining the faculty staff. Change of activity by ambitious employees is described by the formula

dobryn03.wmf (3)

In the simplest variant the function G is as follows

dobryn04.wmf (4)

where the coefficient 0 < k ≤ 1.

Equation corresponding to one-dimensional cellular automata is the equation of continuity – conservation law of staff number taking into account their leave of university system:

dobryn05.wmf (5)

where x(v, t) is the university staff number aged v at a time t. G is the function of skilled workers drain, it is characterized by staff number aged v, who leave the university system for other activities. In the simplest variant the function G can be described by the linear relationship

G(x) = kx, (6)

where 0 < k ≤ 1.


  1. Dobrynina N.F. Stokhasticheskiye modeli v vysshem professional’nom obrazovanii \ sb. statey 5 Mezhdunarodnoy nauchno-tekhnicheskoy konferentsii «Analiticheskiye i chislennyye metody modelirovaniya yestestvennonauchnykh i sotsial’nykh problem». [Stochastic Models in the higher Professional Education System // 5th International Scientific And Technical Conference Proceedings «Analytical and numerical methods of scientific and social problems modeling»]. Publishing house PSU (Penza state university). – Penza, 2011. – P. 174–178.
  2. Boikov I.V., Suzdaleva I.A. Ob odnoy modeli obrazovaniya // Izvestiya vysshikh uchebnykh zavedeniy. Povolzhskiy region. Yestestvennyye nauki. [About one educational model // News of Higher Educational Institutions. Povolzhsky Region. Technical Sciences]. – Penza: Information publishing center of the PSU, 2006. – № 6. – P. 3–12.

The work is submitted to the International Scientific Conference «Strategy for science education», Israel (Tel Aviv), April 25 – Мay 2, 2014, came to the editorial office оn 31.03.2014.