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Application of Social Network Analysis of COVID-19 Related Tweets Mentioning Cannabis and Opioids to Gain Insights for Drug Abuse Research

机译:Covid-19相关推文的社会网络分析在提及大麻和阿片类药物中获得药物滥用研究的见解

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We applied social network analysis (SNA) to Tweets mentioning cannabis or opioid-related terms to publicly available COVID-19 related Tweets collected from Jan 21st to May 3rd, 2020 (n= 2,558,474 Tweets). We randomly extracted 16,154 Tweets mentioning cannabis and 4,670 Tweets mentioning opioids from the COVID-19 Tweet corpora for our analysis. The cannabis related Tweets created by 6,144 users were disseminated to 280,042,783 users and retweeted 11 times the number of original messages while opioid-related Tweets created by 3,412 users were disseminated to smaller number of users. The opioids Twitter network showed more cohesive online group activities and a cleaner online environment with less disinformation. The cannabis Twitter network showed a less desirable online environment with more disinformation (false information to mislead the public) and stakeholders lacking strong science knowledge. Application of SNA to Tweets provides insights for future online-based drug abuse research during the outbreak.
机译:我们将社交网络分析(SNA)应用于提及大麻或阿片类药物与公开可用的Covid-19相关推进的推文,从2012年1月21日至5月3日收集(n = 2,558,474推文)。我们随机提取了16,154名推文,提及大麻和4,670名推文从Covid-19 Tweet Corea提出了表述,以进行分析。由6,144个用户创建的大麻相关推文被传播到280,042,783个用户,并转发了11次原始信息的数量,而3,412个用户创建的表阿片式相关推文被传播给较少数量的用户。 OpioIDS Twitter网络显示更多凝聚力的在线集团活动和更清洁的在线环境,具有较少的禁欲。大麻Twitter网络展示了一个不太理想的在线环境,具有更多的缺点(虚假信息误导公众)和缺乏强烈科学知识的利益相关者。 SNA在爆发期间为未来在线药物滥用研究的应用提供了见解。

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