• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site
Student
Title
Supervisor
Faculty
Educational Programme
Final Grade
Year of Graduation
Ekaterina Irshenko
Investigation into the Social Network Dynamics
Electronic Business
(Master’s programme)
2016
The present paper is devoted to the topical scientific questions of analysis of social network dynamics. Basic concepts of network analysis are given. Classifications of social networks are studied. The most widespread models of social network analysis in dynamics are considered. The investigation into the application of a SIR epidemic model for prediction and analysis of information influence of news in a social network is presented in details. The dynamic network analysis is performed by means of simulation of the above-mentioned model on different types of networks by the use of R-studio analytic tool. The results are of interest to both the scientific community and SMM-analysts.

Student Theses at HSE must be completed in accordance with the University Rules and regulations specified by each educational programme.

Summaries of all theses must be published and made freely available on the HSE website.

The full text of a thesis can be published in open access on the HSE website only if the authoring student (copyright holder) agrees, or, if the thesis was written by a team of students, if all the co-authors (copyright holders) agree. After a thesis is published on the HSE website, it obtains the status of an online publication.

Student theses are objects of copyright and their use is subject to limitations in accordance with the Russian Federation’s law on intellectual property.

In the event that a thesis is quoted or otherwise used, reference to the author’s name and the source of quotation is required.

Search all student theses