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Ranking the social media platform user pages using Big Data

MMC.
2018;
Volume 5, Number 1
: pp. 56-65
https://doi.org/10.23939/mmc2018.01.056
Received: June 09, 2018

Math. Model. Comput. Vol. 5, No. 1, pp. 56-65 (2018)

Authors:
  1. O. Mastykash
  2. Bohdan Liubinskyi
  3. Petro Topylko
  4. I. Penyak
1
Lviv Polytechnic National University
2
Lviv Polytechnic National University
3
Lviv Polytechnic National University
4
Lviv Polytechnic National University

The platforms of the social media of the Internet, depending on their content have been analyzed in the paper. The classification that allows selecting groups by specific one's signs has been made.  To rank the pages of users of virtual communities, it is suggested to use a modified PageRank algorithm.  An approach based on the use of lexical analysis and algorithm for ranking and organizing data using the MapReduce paradigm is developed. Using the developed approach and the appropriate algorithm, the software for ranking user pages has been implemented.  The results of processed data and the formation of users' PageRank of the platform has been analyzed.

social media platform
Big data
page ranking
measuring of page ranking
virtual community
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