User response to e-WOM in social networks : how to predict a content influence in Twitter
Zohreh Yousefi Dahka, Nastaran Hajiheydari, Saeed Rouhani
| Year of publication: |
2020
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|---|---|
| Authors: | Dahka, Zohreh Yousefi ; Hajiheydari, Nastaran ; Rouhani, Saeed |
| Published in: |
International journal of internet marketing and advertising : IJIMA. - Geneva : Inderscience Enterprises Limited, ISSN 1741-8100, ZDB-ID 2145038-9. - Vol. 14.2020, 1, p. 91-111
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| Subject: | electronic word-of-mouth | e-WOM | social media | e-retailing | content influence | data mining | Twitter | text mining | Social Web | Social web | Data Mining | Data mining | Virales Marketing | Viral marketing | Soziales Netzwerk | Social network | Online-Marketing | Internet marketing | Konsumentenverhalten | Consumer behaviour |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1504/IJIMA.2020.106041 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012200014