При цитировании, не забудьте указать ссылку на данную статью. Mclean N. Measuring community influence: a data mining approach to Eastern European blogosphere // European Research № 2(13)/ ХIV Международная научно-практическая конференция "European Research: Innovation in Science, Education and Technology / Европейские научные исследования: инновации в науке, образовании и технологиях" (Москва, 24-25 февраля 2016 года).- С. {см.сборник}

Маклин Наталия / Mclean Natalia - – аспирант,
факультет информационных технологий,
Университет Сиднея, г. Сидней, Австралийский Союз

Abstract: we use data mining techniques (in particular, social network analysis approach) to measure the influence and ‘community spirit’ coefficient of various online groups in the Easter European blogosphere. The purpose of this paper is to demonstrate how we collect, clean and model inter-member relationships data of a large number of groups hosted on an Eastern European SNB Diary.ru in order to measure the cohesion of the group – i.e., how strongly members of a group as a whole are bonded with each other. Translating the notions of friendship and communication into the realm of computational analytics and assigning a number to every group will arm us with important scientific data that can be used in a variety of subsequent experiments and research projects (for example, creating a classification of groups or discovering links between a group cohesion coefficient and a central theme or interaction style of the group).
Аннотация: в статье описан структурно-алгоритмический подход к анализу групп пользователей европейской блогосферы. Статья уделяет особое внимание методам сбора, очистки и моделирования данных для измерения коэффициента структурной целостности группы.

Keywords: social network analysis, data mining, linked web data, social networks, online communities, computational sociology, blogosphere.
Ключевые слова: анализ данных, структурный анализ, социальные сети, блогосфера, алгоритмическая социология.

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