Digital cryptocurrencies such as Bitcoin have exploded in recent years in
both popularity and value. By their novelty, cryptocurrencies tend to be both
volatile and highly speculative. The capricious nature of these coins is helped
facilitated by social media networks such as Twitter. However, not everyone's
opinion matters equally, with most posts garnering little to no attention.
Additionally, the majority of tweets are retweeted from popular posts. We must
determine whose opinion matters and the difference between influential and
non-influential users. This study separates these two groups and analyzes the
differences between them. It uses Hypertext-induced Topic Selection (HITS)
algorithm, which segregates the dataset based on influence. Topic modeling is
then employed to uncover differences in each group's speech types and what
group may best represent the entire community. We found differences in language
and interest between these two groups regarding Bitcoin and that the opinion
leaders of Twitter are not aligned with the majority of users. There were 2559
opinion leaders (0.72% of users) who accounted for 80% of the authority and the
majority (99.28%) users for the remaining 20% out of a total of 355,139 users.

该研究使用 HITS 算法，根据影响力分离数据集，分析了 Twitter 上具有影响力和不具有影响力的用户之间的差异，并采用主题建模揭示了这两个群体在比特币方面的语言和兴趣上的差异。我们发现少数用户（0.72%）代表了大多数（80%）比特币言论的权威性。