Analysis of Large-Scale Networks Using High Performance Technology (Vkontakte Case Study)

Analysis of Large-Scale Networks Using High Performance Technology (Vkontakte Case Study)

Bibliographic Details
Parent link:Communications in Computer and Information Science
Vol. 535 : Creativity in Intelligent Technologies and Data Science.— 2015.— [P. 531-541]
Corporate Author: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра прикладной математики (ПМ)
Other Authors: Kinash N. A. Nikolay Aleksandrovich, Tikhomirov A. A. Aleksey Anatoljevich, Trufanov A. V. Andrey Vladimirovich, Berestneva O. G. Olga Grigorievna, Boukhanovsky A. I. Alexandr Ivanovich, Ashurova Z. T. Zamira Talgatovna
Summary:Title screen
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.
Режим доступа: по договору с организацией-держателем ресурса
Language:English
Published: 2015
Subjects:
электронный ресурс
труды учёных ТПУ
сети
данные
уязвимость
Online Access:http://dx.doi.org/10.1007/978-3-319-23766-4_42
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=647652

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