The method of data analysis from social networks using apache hadoop

Askar Boranbayev, Gabit Shuitenov, Seilkhan Boranbayev

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

9 Citations (Scopus)

Abstract

This article analyzes data from social networks. The social microblogging system called Twitter is taken as a data source. In the model of distributed computing MapReduce has been used for the implementation of the algorithm for searching the user communities. Apache Hadoop has been chosen as a platform for distributed computing. The program code was developed for retrieving tweets and distributed processing. The analysis of the interests of users of Twitter was conducted.

Original languageEnglish
Title of host publicationInformation Technology – New Generations - 14th International Conference on Information Technology
PublisherSpringer Verlag
Pages281-288
Number of pages8
ISBN (Print)9783319549774
DOIs
Publication statusPublished - Jan 1 2018
Event14th International Conference on Information Technology - New Generations, ITNG 2017 - Las Vegas, United States
Duration: Apr 10 2017Apr 12 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume558
ISSN (Print)2194-5357

Conference

Conference14th International Conference on Information Technology - New Generations, ITNG 2017
CountryUnited States
CityLas Vegas
Period4/10/174/12/17

Keywords

  • Analysis
  • Data
  • Distributed platform
  • Framework
  • Information technology
  • Method
  • Social network

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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