@文章{信息:doi/10.2196/10781，作者=“El Tantawi, Maha和Al-Ansari, Asim和AlSubaie, Abdulelah和Fathy, Amr和Aly, Nourhan M和Mohamed, Amira S”，标题=“牙科Twitter网络中的信息覆盖范围:用户受欢迎程度、传播模式和网络结构的队列研究”，期刊=“J Med Internet Res”，年=“2018”，月=“9”，日=“13”，卷=“20”，数=“9”，页=“e10781”，关键词=“社交媒体”;健康的沟通;牙医;学生,牙科;社会网络分析;推特;社会网络"，摘要="背景:增加通过推特传播的信息的覆盖面，促进了基于推特的健康教育运动的成功。目的:本研究旨在确定与牙科Twitter网络(1)最初和(2)在个人和网络层面上可持续发展的影响因素。方法:我们使用2016-2017年沙特一所牙科学校教师和学生的Twitter用户名，并应用Gephi(社交网络分析工具)和社交媒体分析计算用户和网络指标。进行内容分析以确定传播口腔健康信息的用户。 The study outcomes were reach at baseline and sustainably over 1.5 years. The explanatory variables were indicators of popularity (number of followers, likes, tweets retweeted by others), communication pattern (number of tweets, retweets, replies, tweeting/ retweeting oral health information or not). Multiple logistic regression models were used to investigate associations. Results: Among dental users, 31.8{\%} had reach at baseline and 62.9{\%} at the end of the study, reaching a total of 749,923 and dropping to 37,169 users at the end. At an individual level, reach was associated with the number of followers (baseline: odds ratio, OR=1.003, 95{\%} CI=1.001-1.005 and sustainability: OR=1.002, 95{\%} CI=1.0001-1.003), likes (baseline: OR=1.001, 95{\%} CI=1.0001-1.002 and sustainability: OR=1.0031, 95{\%} CI=1.0003-1.002), and replies (baseline: OR=1.02, 95{\%} CI=1.005-1.04 and sustainability: OR=1.02, 95{\%} CI=1.004-1.03). At the network level, users with the least followers, tweets, retweets, and replies had the greatest reach. Conclusions: Reach was reduced by time. Factors increasing reach at the user level had different impact at the network level. More than one strategy is needed to maximize reach. ", issn="1438-8871", doi="10.2196/10781", url="//www.mybigtv.com/2018/9/e10781/", url="https://doi.org/10.2196/10781", url="http://www.ncbi.nlm.nih.gov/pubmed/30213781" }