Complex networks (graphs) are widely used by modern science
to model and analyze a variety of phenomena, including natural language. Networks
allow you to reflect in the model that is usually lost in the traditional
quantitative approach to the subject: the relations between the elements. Building
a network on a processed scientific text allows you to better visualize the
terminological system of the author, and to apply the some quantitative metrics,
most clearly showing fragments of the whole. The study is carried out on the
material of scientific texts by O. M. Freudenberg, A. F. Losev and E. M. Meletinskiy.
The results show differences in their approaches to terminological
system and the difference in style of presentation.
Braginskaja N. V. Posleslovie k 1-mu izdaniju [Afterword to the first edition] // Frejdenberg O. M. Mif i literatura drevnosti [Myth and literature of ancient times]. M.: Vost. lit., 1998. S. 734–743.
Moretti F. Dal'nee chtenie [Further reading]. M.: Izd-vo Instituta Gajdara,
2016.
Orehov B. Modelirovanie terminologicheskogo tezaurusa rabot R. G. Nazirova
o mifologii i istorii fol'klornyh sjuzhetov [Modelling of thermenological
thesauras of the works by R.G. Nazirov about mythology and history of folk
plots] // Nazirovskij arhiv. 2015. № 2. S. 118–131.
Beveridge A., Shan J. Network of Thrones // Math Horizons Magazine.
2016. Vol. 23. No. 4. Р. 18–22. URL: http://dx.doi.org/10.4169/mathhorizons.
23.4.18
of scientific style // Критика и семиотика. 2016. № 2. Pp. 94–101.