Analysis of Mobile Social Networks Using Clustering

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F16%3A50004169" target="_blank" >RIV/62690094:18450/16:50004169 - isvavai.cz</a>

Alternative codes found

RIV/00216275:25530/17:39912024

Result on the web

<a href="http://dx.doi.org/10.1166/asl.2016.6688" target="_blank" >http://dx.doi.org/10.1166/asl.2016.6688</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1166/asl.2016.6688" target="_blank" >10.1166/asl.2016.6688</a>

Result language

angličtina

Original language name

Analysis of Mobile Social Networks Using Clustering

Original language description

Social networks are becoming a phenomenon of the 21st century. As well as gaining new users on the Internet, they also began to penetrate into mobile devices. The aim of the paper is to introduce the five most commonly used mobile social networks in Europe, with a focus on the European Union and their analysis. For this purpose, the data-mining technology of K-means for clustering process will be used. Prior to the cluster analysis itself, the data will be illustrated using principal component method for graphical visualization, which will define the three main components. The factors according to which there is a clustering, will be detected by a factor analysis using "varimax simple" rotation. In the last part of the paper, the 28 European Union countries are divided into four homogeneous groups, i.e. clusters, for each of the years 2010-2014. These are average values representing the states contained in the given cluster, in comparison with data for all social networks for the European Union and Europe. The input assumption that data (criteria) that enter the cluster analysis are not affected by multi-collinearity will be verified by Spearman correlation coefficient.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BB - Applied statistics, operational research

OECD FORD branch

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Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Advanced science letters

ISSN

1936-6612

e-ISSN

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Volume of the periodical

Volume 22,

Issue of the periodical within the volume

5-6

Country of publishing house

US - UNITED STATES

Number of pages

5

Pages from-to

1273-"1277(5)"

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-84985982537