Analysis of Mobile Social Networks Using Clustering
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F16%3A39900899" target="_blank" >RIV/00216275:25530/16:39900899 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1166/as1.2016.6688" target="_blank" >http://dx.doi.org/10.1166/as1.2016.6688</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1166/as1.2016.6688" target="_blank" >10.1166/as1.2016.6688</a>
Alternative languages
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
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
—
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advanced Science Letters
ISBN
—
ISSN
1936-6612
e-ISSN
—
Number of pages
5
Pages from-to
1273-1277
Publisher name
American Scientific Publishers
Place of publication
Valencia
Event location
Bali
Event date
Sep 29, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000383113900041