Internet Social Networks and Generation Y at Faculty of Economics and Administration, University of Pardubice

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F14%3A39899151" target="_blank" >RIV/00216275:25410/14:39899151 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Internet Social Networks and Generation Y at Faculty of Economics and Administration, University of Pardubice

Popis výsledku v původním jazyce

A social network is a connected group of people, who share each other's data in the virtual network. These services offer various possibilities of interaction - chats, news, emails or forums. We made a questionnaire survey for comparison of social networks utilization with students of the Faculty of Economics and Administration at the University of Pardubice. The survey was aimed on using specific types of web services that are most frequently visited worldwide and locally in Czech Republic. We made classification of some attributes into scales. These attributes were size of municipality, number of hours spent at PC per week, age etc. Evaluation of the survey was made to discover correlation between each attributes. Then we made cluster analysis to show the differences of using some chosen application for social networking within the students. We used Kononen's Self Organizing Map, Two?Step Cluster algorithm and K?Means method and results are shown in the paper.

Název v anglickém jazyce

Internet Social Networks and Generation Y at Faculty of Economics and Administration, University of Pardubice

Popis výsledku anglicky

A social network is a connected group of people, who share each other's data in the virtual network. These services offer various possibilities of interaction - chats, news, emails or forums. We made a questionnaire survey for comparison of social networks utilization with students of the Faculty of Economics and Administration at the University of Pardubice. The survey was aimed on using specific types of web services that are most frequently visited worldwide and locally in Czech Republic. We made classification of some attributes into scales. These attributes were size of municipality, number of hours spent at PC per week, age etc. Evaluation of the survey was made to discover correlation between each attributes. Then we made cluster analysis to show the differences of using some chosen application for social networking within the students. We used Kononen's Self Organizing Map, Two?Step Cluster algorithm and K?Means method and results are shown in the paper.

Druh

D - Stať ve sborníku

CEP obor

AE - Řízení, správa a administrativa

OECD FORD obor

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Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

DIVAI 2014 10th International Scientific Conference on Distance Learning in Applied Informatics Conference proceedings

ISBN

978-80-7478-497-2

ISSN

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e-ISSN

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Počet stran výsledku

9

Strana od-do

155-163

Název nakladatele

Wolters Kluwer ČR, a. s.

Místo vydání

Praha

Místo konání akce

Štúrovo

Datum konání akce

5. 5. 2014

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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