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Article . 2014
Data sources: CyberLeninka - Russian open access scientific library
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Микро- и макромодели социальных сетей. Ч. 2. Идентификация и имитационные эксперименты

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2014 Russian Publisher:Общество с ограниченной ответственностью "СенСиДат-Контрол"Journal:Проблемы управления (issn: 1819-3161, Copyright policy )

Микро- и макромодели социальных сетей. Ч. 2. Идентификация и имитационные эксперименты

Abstract

Рассмотрены вопросы идентификации введенных в первой части работы микрои макрохарактеристик социальных сетей по данным из реальных онлайновых социальных сетей Facebook, LiveJournal и Twitter. Представлены результаты ряда соответствующих имитационных экспериментов, дано их сравнение.Problems of macro and micro characteristics identification are considered for the models of social networks, introduced in the first part of the paper. Identification was implemented to the data of real online social networks Facebook, LiveJournal, and Twitter. The results of several imitational experiments and their comparison are given.

Keywords

ПОРОГОВОЕ ПОВЕДЕНИЕ, СОЦИАЛЬНАЯ СЕТЬ, ТЕОРИЯ ГРАФОВ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold