  Quantitative analysis of the structure of star clusters is crucial for
understanding their formation and evolution. In this article, we explore the
application of fractal dimension analysis to study the evolution of star
clusters. Fractal dimension, a concept from fractal geometry, provides a
quantitative measure of the complexity and self-similarity of geometric
objects. By considering star clusters as complex networks, we employ the box
covering method to calculate their fractal dimension. Our methodology combines
the well-established Minimum Spanning Tree (MST) and Box-Covering (BC) methods.
Using these methods, the fractal structure of the clusters was determined. It
was revealed that star clusters disintegrate at a fractal dimension of 1.3 and
obey a power law. It should be noted that the obtained result was compared with
the results of the McLuster.
