Analysis of Large-Scale Networks Using High Performance Technology (Vkontakte Case Study); Communications in Computer and Information Science; Vol. 535 : Creativity in Intelligent Technologies and Data Science

Analysis of Large-Scale Networks Using High Performance Technology (Vkontakte Case Study); Communications in Computer and Information Science; Vol. 535 : Creativity in Intelligent Technologies and Data Science

Opis bibliograficzny
Parent link:	Communications in Computer and Information Science Vol. 535 : Creativity in Intelligent Technologies and Data Science.— 2015.— [P. 531-541]
Korporacja:	Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра прикладной математики (ПМ)
Kolejni autorzy:	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
Streszczenie:	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
Język:	angielski
Wydane:	2015
Hasła przedmiotowe:	электронный ресурс труды учёных ТПУ сети данные уязвимость
Dostęp online:	http://dx.doi.org/10.1007/978-3-319-23766-4_42
Format:	Elektroniczne Rozdział
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=647652

Internet

http://dx.doi.org/10.1007/978-3-319-23766-4_42