Analysis of large-scale networks using high performance technology (vkontakte case study)

Nikolay Kinash, Alexei Tikhomirov, Andrey Trufanov, Olga Berestneva, Alexandr Boukhanovsky, Zamira Ashurova

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Case study Vkontakte presents an approach to the analysis of large-scale social networks. The paper describes the API usage to design the friend lists for construction of massive social network. It will avoid errors during the building process and select the most efficient parallel graph frameworks for the large network analysis. The case studied the basic parameters of the network Vkontakte, and determined its topology different from scale-free character. The collected dataset is opened for free public download.

Original languageEnglish
Title of host publicationCommunications in Computer and Information Science
PublisherSpringer Verlag
Pages531-541
Number of pages11
Volume535
ISBN (Print)9783319237657
DOIs
Publication statusPublished - 2015
Event1st Conference on Creativity in Intelligent Technologies and Data Science, CIT and DS 2015 - Volgograd, Russian Federation
Duration: 15 Sep 201517 Sep 2015

Publication series

NameCommunications in Computer and Information Science
Volume535
ISSN (Print)18650929

Other

Other1st Conference on Creativity in Intelligent Technologies and Data Science, CIT and DS 2015
CountryRussian Federation
CityVolgograd
Period15.9.1517.9.15

Keywords

  • Dataset
  • Large-scale networks
  • Vulnerability metrics

ASJC Scopus subject areas

  • Computer Science(all)

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