• Corpus ID: 246823469

Structure of social relations in the novel \emph{The Master and Margarita} by M. A. Bulgakov: A network analysis of verbal communications

@inproceedings{Tarasevich2021StructureOS,
  title={Structure of social relations in the novel \emph\{The Master and Margarita\} by M. A. Bulgakov: A network analysis of verbal communications},
  author={Yuri Yu. Tarasevich and Anna Viktorovna Danilova and Olga E. Romanovskaya},
  year={2021}
}
A network analysis of the structure of social relationships in one of the most popular Russian novels of the Soviet era The Master and Margarita by M. A. Bulgakov has been carried out. The structure of the novel is complex, i.e., there is ‘a story within a story’. Moreover, the real-world-characters and the other-world-characters are interacting in the novel. A complex and unusual structure of the character network is expected. Presum- ably, the network may be split in two subgraphs owing very… 

Figures and Tables from this paper

References

SHOWING 1-10 OF 41 REFERENCES

Network analysis of the novel The Master and Margarita

The network analysis of the structure of social relationships in one of the most popular in Russian novels of the Soviet era by M. A. Bulgakov The Master and Margarita was carried out. The structure

Form and relationship of the social networks of the New Testament

  • S. Massey
  • Computer Science
    Social Network Analysis and Mining
  • 2019
The network tree methodology appears a promising technique for delineating similarity between empirical networks in general, and a range of potential applications are described.

Social network analysis of the biblical Moses

  • S. Massey
  • Computer Science
    Appl. Netw. Sci.
  • 2016
Here, social network analysis approaches are used to characterize the figure of the biblical Moses, and his relationship with characters from the books of the Pentateuch; Genesis, Exodus, Leviticus,

Exploring the prominence of Romeo and Juliet's characters using weighted centrality measures

It is shown that the ‘strength’ of the relationships affects the prominence of the characters and opens new directions for analyzing Shakespeare’s scripts and determining who the main character is using weighted centrality measures.

Complex Network Analysis of a Graphic Novel: The Case of the Bande Dessinée Thorgal

This article manually annotate all the volumes of Thorgal, a bande dessinée, i.e. a comic of the French-Belgian tradition, in order to constitute a corpus allowing it to extract its character network, and performs a descriptive analysis of the network structure and compare it to real-world and fictional social networks.

Narrative structure of A Song of Ice and Fire creates a fictional world with realistic measures of social complexity

It is proposed that structural features in the narrative that are reflected in the authors' actual social world help readers to follow and to relate to the story, despite its sprawling extent, and is found that structural properties remain approximately stable and comparable to real-world social networks.

Social Network Analysis in Russian Literary Studies

Network analysis as a method has applications in a wide range of fields from physics to epidemiology and from sociology to political science, and in the meantime has also reached the literary

Complex Networks of Words in Fables

The results suggest that, irrespective of link representation, the Ukrainian language network used in the selected fables is a strongly correlated, scale-free, small world.

Network analysis of the Kyiv bylyny cycle - east Slavic epic narratives

method allows to bolster hypotheses from humanities literature — such as the position of Prince Volodymyr — and to generate new ones We show how the Kyiv cycle of bylyny fits very well with narrative

Extraction and Analysis of Fictional Character Networks

This survey aims at presenting and organizing the scientific literature related to the extraction of character networks from works of fiction, as well as their analysis, and identifies the limitations of the existing approaches and the most promising perspectives.