Data Mining and Analysis of Social Networks and Platforms for Tablets in Europe

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F16%3A50005050" target="_blank" >RIV/62690094:18450/16:50005050 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216275:25530/16:39900906

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Data Mining and Analysis of Social Networks and Platforms for Tablets in Europe

Popis výsledku v původním jazyce

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 visualisation, 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.

Název v anglickém jazyce

Data Mining and Analysis of Social Networks and Platforms for Tablets in Europe

Popis výsledku anglicky

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 visualisation, 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.

Druh

D - Stať ve sborníku

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

Aplimat 2016

ISBN

978-80-227-4531-4

ISSN

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e-ISSN

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Počet stran výsledku

13

Strana od-do

926-937

Název nakladatele

Slovenská technická univerzita

Místo vydání

Bratislava

Místo konání akce

Bratislava, Slovensko

Datum konání akce

2. 2. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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