@文章{信息:doi/10.2196/19183，作者="雷宇奇许松华周林云"，标题="中国在线健康社区的用户行为与用户生成内容:比较研究"，期刊="J医学互联网研究"，年="2021"，月="12"，日="15"，卷="23"，数="12"，页数="e19183"，关键词="在线健康社区;用户行为;用户生成的内容;社会网络分析;背景:在线健康社区(OHCs)在全球范围内越来越受到患者、护理人员和支持者的关注。中国的OHCs也不例外。然而，中国OHCs中的用户生成内容(UGC)和相关用户行为在很大程度上未得到充分探索，很少进行系统分析，从而丧失了利用OHCs的见解优化治疗设计和护理提供的宝贵机会。目的:本研究旨在通过系统全面地分析国内两大热门ohc的UGC及其用户行为，揭示其共同特征和不同特征。方法:我们集中研究米健的肺癌论坛(LCF)和乳腺癌论坛(BCF)以及甜蜜之家的糖尿病会诊论坛(DCF)，因为这3种疾病在中国患者中的重要性以及它们在中国OHCs中的总体患病率。我们的分析探讨了每个社交网络的关键用户活动、小世界效应和无标度特征。 We examined the UGC of these forums comprehensively and adopted the weighted knowledge network technique to discover salient topics and latent relations among these topics on each forum. Finally, we discussed the public health implications of our analysis findings. Results: Our analysis showed that the number of reads per thread on each forum followed gamma distribution (HL=0, HB=0, and HD=0); the number of replies on each forum followed exponential distribution (adjusted RL2=0.946, adjusted RB2=0.958, and adjusted RD2=0.971); and the number of threads a user is involved with (adjusted RL2=0.978, adjusted RB2=0.964, and adjusted RD2=0.970), the number of followers of a user (adjusted RL2=0.989, adjusted RB2=0.962, and adjusted RD2=0.990), and a user's degrees (adjusted RL2=0.997, adjusted RB2=0.994, and adjusted RD2=0.968) all followed power-law distribution. The study further revealed that users are generally more active during weekdays, as commonly witnessed in all 3 forums. In particular, the LCF and DCF exhibited high temporal similarity ($\rho$=0.927; P<.001) in terms of the relative thread posting frequencies during each hour of the day. Besides, the study showed that all 3 forums exhibited the small-world effect (mean $\sigma$L=517.15, mean $\sigma$B=275.23, and mean $\sigma$D=525.18) and scale-free characteristics, while the global clustering coefficients were lower than those of counterpart international OHCs. The study also discovered several hot topics commonly shared among the 3 disease forums, such as disease treatment, disease examination, and diagnosis. In particular, the study found that after the outbreak of COVID-19, users on the LCF and BCF were much more likely to bring up COVID-19--related issues while discussing their medical issues. Conclusions: UGC and related online user behaviors in Chinese OHCs can be leveraged as important sources of information to gain insights regarding individual and population health conditions. Effective and timely mining and utilization of such content can continuously provide valuable firsthand clues for enhancing the situational awareness of health providers and policymakers. ", issn="1438-8871", doi="10.2196/19183", url="//www.mybigtv.com/2021/12/e19183", url="https://doi.org/10.2196/19183", url="http://www.ncbi.nlm.nih.gov/pubmed/34914615" }