Scale-Free Patterns by Synchronous Word Connectivity Sustainably for Chronological Variation

The evolution of natural language is characterized by the incorporation a dependency structure into word sequences. Scale-free pattern regularity, in which frequency words conforms to common based on their rank list, empirically well-known. As statistical regularity has been observed and social phenomena, understanding its standard principle great significance. To yield scale-free rank-size relation, procedures have established for distributing resources such as elements rich-get-richer mechanism. However, do not address relevance among elements. Using scheme that considers occurrence task assigning an energy particle element dissipative system, I implemented computational system select synchronously connected conjunction with model noise-induced synchronization phenomenon. demonstrated distribution spatio-chronological freedom could provide relation reach steady state dynamic equilibrium corresponding most probable case system. Furthermore, interference fringe-like self-organized stationary wave through superposition function assignments. results obtained demonstrate can be provided relations chronological variation sustainability, paving way development methodology evolutionary modeling.