SOCIAL NETWORK ANALYSIS OF POLITICIAN STATEMENTS ON SOCIAL NETWORKS
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F20%3A39917128" target="_blank" >RIV/00216275:25530/20:39917128 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
SOCIAL NETWORK ANALYSIS OF POLITICIAN STATEMENTS ON SOCIAL NETWORKS
Original language description
Social networks are an integral part of our lives these days. Most people have an account on some of the many social networks. Social networks are used for various reasons such as to express some opinion or to spreading this opinion. Many subjects take advantage of this situation and one group of such subjects are politicians. This paper aims to analyze the behavior of Czech politicians on social networks. The paper focuses primarily on the statements of politicians on social networks with related characteristics and with specific posts on social networks. The reason why we should be interested in this topic is to control politicians’ behavior that affects also the way they express themselves and how they communicate. We used basic statistical tools and some metrics used for social network analysis to find out how this was done. The outcome of the paper expresses mainly the connection between the individual politicians and length of their posts on social networks. The result in the paper also shows the time distribution of individual posts on social networks.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
DIVAI 2020 - 13th International Scientific Conference on Distance Learning in Applied Informatics
ISBN
978-80-7598-841-6
ISSN
2464-7470
e-ISSN
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Number of pages
9
Pages from-to
553-561
Publisher name
Wolters Kluwer ČR, a. s.
Place of publication
Praha
Event location
Štúrovo
Event date
Sep 21, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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