Identification of the clusters of social network communities for users with a specific characteristic

被引：0

作者：

Vakhitov, Galim ^{[1
]}

Enikeeva, Zulfira ^{[1
]}

Yangirova, Nadiya ^{[1
]}

Shavalieva, Adel ^{[1
]}

Ustin, Pavel ^{[2
]}

机构：

[1] Kazan Fed Univ, Inst Computat Math & Informat Technol, Kazan, Russia

[2] Kazan Fed Univ, Inst Psychol & Educ, Kazan, Russia

来源：

12TH INTERNATIONAL CONFERENCE ON THE DEVELOPMENTS IN ESYSTEMS ENGINEERING (DESE 2019) | 2019年

基金：

俄罗斯科学基金会;

关键词：

social network; community detection; clustering; graphs; psychometrics; predictors; method; ALGORITHM;

D O I：

10.1109/DeSE.2019.00035

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Article identifies a set of social network communities where users of a social network belong to them with a high degree of probability. And users have a common characteristic: age, place of residence, education in a certain educational institution, etc. For this purpose clustering of user communities with the chosen characteristic was performed, the best way to convert data for clustering is identified, the group method of data handling is used to identify user interest in communities of a particular cluster. The results will be used in further research of patterns between virtual and real behavior of social networks users within the constructing of personality prediction model based on psychometric indicators.

引用

页码：140 / 146

页数：7

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