HOW ARE TWITTER ACTIVITIES RELATED TO TOP CRYPTOCURRENCIES' PERFORMANCE? EVIDENCE FROM SOCIAL MEDIA NETWORK AND SENTIMENT ANALYSIS

【Author】 Park, Han Woo; Lee, Youngjoo

【Source】DRUSTVENA ISTRAZIVANJA

【影响因子】0.467

【Abstract】Cryptocurrencies have embraced Twitter as a major channel of communication. Employing social network analysis and sentiment analysis, this study investigates the Twitter-mediated communication behaviors among cryptocurrencies. This study determines whether a significant association exists between cryptocurrencies' Twitter networks and their credit scores. Data were drawn from the Twitter pages of several top cryptocurrencies. The results indicate that reply-mention networks had the densest structure, that the following-follower network structure was correlated with the reply-mention structure, and that the reply-mention and co-tweet networks were positively correlated. The results also indicate that cryptocurrencies' active networking strategies affected their credit scores and more importantly, that cryptocurrencies frequently linked with fellow currencies tended to have high credit scores.

【Keywords】cryptocurrency; Twitter; social network analysis; Weiss rating; sentiment analysis

【发表时间】2019 OCT

【收录时间】2022-01-02

【文献类型】

【主题类别】

--