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Ranking Cryptocurrencies by Brand Importance: A Social Media Analysis in ENEAGRID

MIDAS@PKDD/ECML(2021)

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摘要
This paper presents a preliminary analysis of cryptocurrency brands on Twitter, carried out through the Semantic Brand Score Brand Intelligence App (a tool hosted in the ENEAGRID digital infrastructure). The aim is to rank five digital coins (i.e. Bitcoin, Ethereum, Zcash, Monero, Litecoin). Web crawling, data storage and brand scoring activities require computational power. The ENEAGRID infrastructure faces this challenge in terms of computational costs, with its computing core represented by the HPC CRESCO clusters. In our methodology, we run periodic sessions of web crawling to create a database of tweets (concerning digital coins), then we use the Semantic Brand Score to evaluate cryptocurrencies relevance and study their brand image. This case study is a first step towards collaborating with experts and research communities in financial domain and opening access to ENEA Virtual Labs.
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关键词
Social network analysis,Semantic brand score,Cryptocurrency,Financial text mining
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