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Identifying Influence Agents That Promote Physical Activity Through the Simulation of Social Network Interventions: Agent-Based Modeling Study

Identifying Influence Agents That Promote Physical Activity Through the Simulation of Social Network Interventions: Agent-Based Modeling Study

for simulated social network intervention based on closeness centrality than in simulated social network intervention based on in-degree and betweenness centrality.Network CharacteristicsNext to the measurement of network properties at the individual level, social

Thabo J van Woudenberg, Bojan Simoski, Eric Fernandes de Mello Araújo, Kirsten E Bevelander, William J Burk, Crystal R Smit, Laura Buijs, Michel Klein, Moniek Buijzen

J Med Internet Res 2019;21(8):e12914

Understanding Care Navigation by Older Adults With Multimorbidity: Mixed-Methods Study Using Social Network and Framework Analyses

Understanding Care Navigation by Older Adults With Multimorbidity: Mixed-Methods Study Using Social Network and Framework Analyses

Through quantitative [social network analysis (SNA)] and qualitative (framework analysis) methods, we examine and explore older people’s experiences and needs in relation to navigating their care.

Jolien Vos, Kathrin Gerling, Conor Linehan, Aloysius N Siriwardena, Karen Windle

JMIR Aging 2018;1(2):e11054

Measuring Audience Engagement for Public Health Twitter Chats: Insights From #LiveFitNOLA

Measuring Audience Engagement for Public Health Twitter Chats: Insights From #LiveFitNOLA

They focus on a specific topic and take place at predesignated times.With a mixed-method approach, social network analysis (SNA), and content analysis, we analyzed (1) whether Twitter chats facilitated audience engagement among public health entities and their

Kristina M M. Rabarison, Merriah A Croston, Naomi K Englar, Connie L Bish, Shelbi M Flynn, Carolyn C Johnson

JMIR Public Health Surveill 2017;3(2):e34

Understanding Online Health Groups for Depression: Social Network and Linguistic Perspectives

Understanding Online Health Groups for Depression: Social Network and Linguistic Perspectives

The social network analysis presents novel and efficient information spread patterns of the MDD group that can be further adapted by health care providers to develop better and effective functions to facilitate online communications in the design of Health

Ronghua Xu, Qingpeng Zhang

J Med Internet Res 2016;18(3):e63

Reach of Messages in a Dental Twitter Network: Cohort Study Examining User Popularity, Communication Pattern, and Network Structure

Reach of Messages in a Dental Twitter Network: Cohort Study Examining User Popularity, Communication Pattern, and Network Structure

Social network analysis provides the tools to visualize this network and calculate metrics that characterize it and quantify users’ connectivity [5,8].Social media has the potential to improve health by spreading health information [4].

Maha El Tantawi, Asim Al-Ansari, Abdulelah AlSubaie, Amr Fathy, Nourhan M Aly, Amira S. Mohamed

J Med Internet Res 2018;20(9):e10781

Engagement as a Driver of Growth of Online Health Forums: Observational Study

Engagement as a Driver of Growth of Online Health Forums: Observational Study

More recently, researchers have employed the methods and tools from social network analysis to quantify pairwise user interaction.

Rahul Gopalsamy, Alexander Semenov, Eduardo Pasiliao, Scott McIntosh, Alexander Nikolaev

J Med Internet Res 2017;19(8):e304

Social Network Behavior and Engagement Within a Smoking Cessation Facebook Page

Social Network Behavior and Engagement Within a Smoking Cessation Facebook Page

One such approach, social network analysis, is a collection of computational methods that can provide insight into the structure of a social networking site and interactions and behaviors among participants.Existing research using social network analysis uncovers

Heather Cole-Lewis, Adler Perotte, Kasia Galica, Lindy Dreyer, Christopher Griffith, Mary Schwarz, Christopher Yun, Heather Patrick, Kisha Coa, Erik Augustson

J Med Internet Res 2016;18(8):e205

Determining the Topic Evolution and Sentiment Polarity for Albinism in a Chinese Online Health Community: Machine Learning and Social Network Analysis

Determining the Topic Evolution and Sentiment Polarity for Albinism in a Chinese Online Health Community: Machine Learning and Social Network Analysis

This shows that there is a small world effect between users, which can form effective communication, but this effect is gradually decreasing.Table 3Basic statistics for the social network analysis, compared with those of a random network.YearNumber of usersAverage

Qiqing Bi, Lining Shen, Richard Evans, Zhiguo Zhang, Shimin Wang, Wei Dai, Cui Liu

JMIR Med Inform 2020;8(5):e17813

Nursing Unit Communication During a US Public Health Emergency: Natural Experiment

Nursing Unit Communication During a US Public Health Emergency: Natural Experiment

Social network analysis (SNA) is a research method that supports examination of relationships among individuals, including identification of behavior patterns and the situations in which these patterns arise [9].

Marge M Benham-Hutchins, Kathleen M Carley, Barbara B Brewer, Judith A Effken, Jeffrey Reminga

JMIR Nursing 2018;1(1):e11425