Superusers in social networks for smoking cessation: analysis of demographic characteristics and posting behavior from the Canadian Cancer Society's smokers' helpline online and StopSmokingCenter.net.
Superusers in social networks for smoking cessation: analysis of demographic characteristics and posting behavior from the Canadian Cancer Society's smokers' helpline online and StopSmokingCenter.net.
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社交网络中的超级使用者进行戒烟：分析加拿大癌症协会吸烟者在线吸烟者的热爱和sopsmokingcenter.net的人口特征和发布行为。
DOI：
10.2196/jmir.1854
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发表时间：
2012-06-26
影响因子：
7.4
通讯作者：
Selby P
中科院分区：
文献类型：
--
作者：
van Mierlo T;Voci S;Lee S;Fournier R;Selby P
在线社交网络是行为改变网站的流行组成部分。研究发现，某些网络成员通过向其他成员提供支持、建议和指导而发挥领导作用。在文献中，这些人被不同地定义为关键球员，海报，活跃用户或管理员。尽管他们的身份得到确认，但对这一群体的贡献或人口特征的研究很少。在这项研究中，我们将主要参与者，海报，活跃用户和管理员统称为超级用户。分析来自两个大型但不同的网络辅助烟草干预（WATI）的数据，以帮助深入了解超级用户的人口统计学特征以及他们如何使用社交网络。我们从一个免费的、公共资助的项目（加拿大癌症协会的吸烟者在线帮助热线：SHO）和一个免费的、私人运行的项目（StopSmokingCenter.net：SSC）中提取了包含发帖行为和人口统计特征的横截面数据集。在本报告所述期间（2008年6月26日至2010年10月12日），有21 128人在2008年6月26日至2010年10月12日期间登记参加了2007年5月17日至2010年10月12日期间登记参加了200在同一时期，1670名（7.90%）注册者在SHO社交网络上至少发布了一个帖子，1627名（14.25%）注册者在SSC社交网络上至少发布了一个帖子。SHO和SSC超级使用者分别占登记总人数的0.4%（n = 95）和1.1%（n = 124），占登记总人数的5.7%（n = 95/1670）和7.62%（n = 124（124/1627），分别贡献了34.78%（29,422/84,599）和46.22%（61,820/133,753）的社交网络内容。尽管在推广和组管理规则方面存在巨大差异，并且与组管理员的信念相反，两个超级用户组之间的人口统计特征没有统计学显著差异。据我们所知，这是第一项比较两个独立的电子健康社交网络的人口统计学特征和发帖行为的研究。尽管在促销力度和管理风格上存在巨大差异，但两个WATI都吸引了具有相似特征的超级用户。由于超级用户驱动网络流量，促进或支持WATI的组织应该投入资源来鼓励超级用户参与。需要进一步研究成员动态和优化社交网络的医疗保健目的。
Online social networks are popular components of behavior-change websites. Research has identified the participation of certain network members who assume leadership roles by providing support, advice, and direction to other members. In the literature, these individuals have been variously defined as key players, posters, active users, or caretakers. Despite their identification, very little research has been conducted on the contributions or demographic characteristics of this population. For this study, we collectively categorized key players, posters, active users, and caretakers as superusers. To analyze data from two large but distinct Web-assisted tobacco interventions (WATI) to help gain insight into superuser demographic characteristics and how they use social networks. We extracted cross-sectional data sets containing posting behaviors and demographic characteristics from a free, publicly funded program (the Canadian Cancer Society’s Smokers’ Helpline Online: SHO), and a free, privately run program (StopSmokingCenter.net: SSC). Within the reporting period (SHO: June 26, 2008 to October 12, 2010; SSC: May 17, 2007 to October 12, 2010), 21,128 individuals registered for the SHO and 11,418 registered for the SSC. Within the same period, 1670 (7.90%) registrants made at least one post in the SHO social network, and 1627 (14.25%) registrants made at least one post in the SSC social network. SHO and SSC superusers accounted for 0.4% (n = 95) and 1.1% (n = 124) of all registrants, and 5.7% (95/1670) and 7.62% (124/1627) of all social network participants, and contributed to 34.78% (29,422/84,599) and 46.22% (61,820/133,753) of social network content, respectively. Despite vast differences in promotion and group management rules, and contrary to the beliefs of group moderators, there were no statistically significant differences in demographic characteristics between the two superuser groups. To our knowledge, this is the first study that compared demographic characteristics and posting behavior from two separate eHealth social networks. Despite vast differences in promotional efforts and management styles, both WATI attracted superusers with similar characteristics. As superusers drive network traffic, organizations promoting or supporting WATI should dedicate resources to encourage superuser participation. Further research regarding member dynamics and optimization of social networks for health care purposes is required.
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影响因子：
12.7
作者：
Glasgow, RE;Vogt, TM;Boles, SM
通讯作者：
Boles, SM
在线试验中的方法论挑战。
影响因子：
7.4
作者：
Murray E;Khadjesari Z;White IR;Kalaitzaki E;Godfrey C;McCambridge J;Thompson SG;Wallace P
通讯作者：
Wallace P
影响因子：
12.7
作者：
Cobb NK;Graham AL;Abrams DB
通讯作者：
Abrams DB
影响因子：
6
作者：
Cunningham, John A.;Wild, T. Cameron;Humphreys, Keith
通讯作者：
Humphreys, Keith
影响因子：
4.4
作者：
CUNNINGHAM, JA;SOBELL, LC;TONEATTO, T
通讯作者：
TONEATTO, T