Social network analysis: methods and applications

Autor:	Anton Korshunov, Ivan Beloborodov, Nazar Buzun, Valeriy Avanesov, Roman Pastukhov, Kyrylo Chykhradze, Ilya Kozlov, Andrey Gomzin, Ivan Andrianov, Andrey Sysoev, Stepan Ipatov, Ilya Filonenko, Christina Chuprina, Denis Turdakov, Sergey Kuznetsov
Jazyk:	English<br />Russian
Rok vydání:	2018
Předmět:	социальные сети социальные данные пользовательские данные социальный анализ анализ социальных сетей анализ содержимого веб-сервисы микроблоги компьютерная лингвистика теория графов машинное обучение распределённые алгоритмы и системы Electronic computers. Computer science QA75.5-76.95
Zdroj:	Труды Института системного программирования РАН, Vol 26, Iss 1, Pp 439-456 (2018)
Druh dokumentu:	article
ISSN:	2079-8156 2220-6426
DOI:	10.15514/ISPRAS-2014-26(1)-19
Popis:	The paper describes the basic components of ISPRAS technology stack for social network data analysis. Particular attention is given to tasks, methods, and applications of network (social connections between users) and textual (user messages and profiles) data analysis: demographic attribute detection, event detection in messages corpora, user identity resolution, community detection, and influence measurement. Means for input data acquisition are also considered: collecting real data through web-interfaces of social services and generating random social graphs. For each of the developed tools we describe its functionality, use cases, basic steps of the underlying algorithms, and experimental results.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/fbc2801018f14a0f8aec885eb03d9bfe Zobrazit plný text záznamu View record in DOAJ