Framework for Social Media Analysis Based on Hashtag Research By

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F21%3A85654" target="_blank" >RIV/60460709:41110/21:85654 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2076-3417/11/8/3697" target="_blank" >https://www.mdpi.com/2076-3417/11/8/3697</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/app11083697" target="_blank" >10.3390/app11083697</a>

Result language
angličtina
Original language name
Framework for Social Media Analysis Based on Hashtag Research By
Original language description
Social networks have become a common part of many peoples daily lives. Users spend more and more time on these platforms and create an active and passive digital footprint through their interaction with other subjects. These data have high research potential in many fields, because understanding peoples communication on social media is essential to understanding their attitudes, experiences and behaviours. Social media analysis is a relatively new subject. There is still a need to develop methods and tools for researchers to help solve typical problems associated with this area. A researcher will be able to focus on the subject of research entirely. This article describes the Social Media Analysis based on Hashtag Research (SMAHR) framework, which uses social network analysis methods to explore social media communication through a network of hashtags. The results show that social media analysis based on hashtags provides information applicable to theoretical research and practical strategic marketing
Czech name
—
Czech description
—

Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
50204 - Business and management

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)