Alternative Explanations for Negative Findings in the Community Popular Opinion Leader Multisite Trial and Recommendations for Improvements of Health Interventions Through Social Network Analysis

2011 ◽  
Vol 56 (4) ◽  
pp. e119-e120 ◽  
Author(s):  
John A Schneider ◽  
Edward O Laumann
Trials ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Kar-Hai Chu ◽  
Sara Matheny ◽  
Alexa Furek ◽  
Jaime Sidani ◽  
Susan Radio ◽  
...  

Abstract Background After the US Surgeon General declared youth electronic cigarette (e-cigarette) use an epidemic in 2018, the number of youth e-cigarette users continued to surge, growing from 3.8 million in 2018 to over 5 million 2019. Youth who use e-cigarettes are at a substantially higher risk of transitioning to traditional cigarettes, becoming regular cigarette smokers, and increasing their risk of developing tobacco-related cancer. A majority of youth are misinformed about e-cigarettes, often believing they are not harmful or contain no nicotine. Middle school students using e-cigarettes have been affected by its normalization leading to influence by their peers. However, social and group dynamics can be leveraged for a school-based peer-led intervention to identify and recruit student leaders to be anti-e-cigarette champions to prevent e-cigarette initiation. This study outlines a project to use social network analysis to identify student opinion-leaders in schools and train them to conduct anti-e-cigarette programming to their peers. Methods In the 2019–2020 academic school year, 6th grade students from nine schools in the Pittsburgh area were recruited. A randomized controlled trial (RCT) was conducted with three arms—expert, elected peer-leader, and random peer-leader—for e-cigarette programming. Sixth grade students in each school completed a network survey that assessed the friendship networks in each class. Students also completed pre-intervention and post-intervention surveys about their intention-to-use, knowledge, and attitudes towards e-cigarettes. Within each peer-led arm, social network analysis was conducted to identify peer-nominated opinion leaders. An e-cigarette prevention program was administered by (1) an adult content-expert, (2) a peer-nominated opinion leader to assigned students, or (3) a peer-nominated opinion leader to random students. Discussion This study is the first to evaluate the feasibility of leveraging social network analysis to identify 6th grade opinion leaders to lead a school-based e-cigarette intervention. Trial registration ClinicalTrials.gov NCT04083469. Registered on September 10, 2019.


2020 ◽  
Vol 3 (2) ◽  
pp. 179-210 ◽  
Author(s):  
Xianlin Jin

This study utilized social network analysis to identify the top 10 Twitter influentials during the Hurricane Irma crisis period and examined the relationship between social media attributes and the bridge influence of controlling information flow. The number of a user’s followers and tweets significantly predicted one’s control of information. Crisis information tended to be shared in scattered subgroups. Social network boundaries impeded information diffusion, and the communication pattern was largely one-way. The findings partially supported the opinion leader argument while indicating that influentials can directly generate information, which is consistent with the social-mediated crisis communication model. Such findings will contribute to crisis literature and help emergency management professionals advance social media usage to disseminate crisis information, build effective communication, and provide immediate disaster relief responses


2021 ◽  
pp. 107780122199490
Author(s):  
Katie M. Edwards ◽  
Victoria L. Banyard ◽  
Emily A. Waterman ◽  
Skyler L. Hopfauf ◽  
Hee-Sung Shin ◽  
...  

In the current article, we describe an innovative sexual violence (SV) prevention initiative that used social network analysis to identify youth and adult popular opinion leaders who were subsequently trained in best practices in SV prevention (e.g., bystander intervention) at a kickoff event (i.e., camp) of the initiative. We provide information on recruitment strategies, participation rates and how those rates varied by some demographic factors, reasons for nonattendance, the initial impact of the camp, and lessons learned. Despite challenges with youth and adult engagement, this innovative approach has the potential to transform the way we approach SV prevention among youth.


Author(s):  
Yi-Fen Chen ◽  
Chia-Wen Tsai ◽  
Yu-Fu Ann

This article examines social network centralities to identify peer group's opinion leader with the aim of determining whether an opinion leader and perceived value influence purchase intention in the field of paid mobile apps. Social network analysis (SNA) and regression analysis are applied to examine the hypotheses within the theoretical framework. The experiment involved a peer group of college students with total of 46 subjects. Using SPSS to analyze the influences of perceived value and the group's opinion leader on purchase intention, the results showed that consumer purchase intention is positively influenced by both the perceived value of paid mobile apps and positive advices given by opinion leader. In addition, an analysis using Ucinet 6 to examine consulting network centrality, friendship network centrality, and information centrality of every member of the group revealed that based on group structure, the group member having the highest centrality has the group's potential to be the opinion leader.


Author(s):  
Ian McCulloh ◽  
Grace Garcia ◽  
Kelsey Tardieu ◽  
Jennifer MacGibbon ◽  
Heather Dye ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document