Featured NodeXL Network: SDOH
"Social Determinants of Health"
Wikipedia defines "SDOH" as "the social determinants of health (SDOH) ... the economic and social conditions and their distribution among the population that influence individual and group differences in health status." This network graph represents a network of 2,737 Twitter users whose tweets in the requested range contained "sdoh", or who were replied to or mentioned in those tweets, tweeted over the 13-day, 12-hour, 55-minute period from Saturday, 03 December 2016 at 01:07 UTC to Friday, 16 December 2016 at 14:03 UTC.
The most influential voices in this discussion are: @picardonhealth, @wtbunting, @brianrahmer, @carolynshimmin, @upstreamaction, @rasushrestha, and @gmacscotland. Top Hashtags related to SDOH: #sdoh, #hiap, #health, #poverty, #peoh, #healthcare, #publichealth, #healthequity, #cdnhealth, and #inequality.
The SDOH social media network is characterized as a broadcast graph, with several hub and spoke clusters before reaching the "Brand" cluster of isolated users in G8.
NodeXL Pro Update:
Group and Edge Data Expanded to Vertices and Edges worksheets
NodeXL Tweet of the Month
Featured NodeXL Publication
Exploiting Metacognitive Networks Embedded in Narrative Focus Group Interviews Using NodeXL
Authors: Divan Jagals, Marthie Sophia Van der Walt
In: The Qualitative Report, 21(10), 1868-1880.
Abstract: Development of metacognitive theory for changing pedagogy remains an essential research activity. A lack of sufficient clear-cut qualitative analysis procedures extracting embedded metacognitive constructs from qualitative data (e.g., narrative focus group interviews) can hinder development of theory. An approach is therefore needed to analyse qualitative metacognitive data exploiting embedded metacognitive constructs for theory development. In an undergraduate fourth-year mathematics education module, two groups of students (Group A: n = 6; Group B: n = 5) participated in a series of focus group interviews. Participants designed and refined mathematics lessons about the concept of place value. We identified metacognitive networks as an embedded construct in students’ metacognitive processes. Findings indicate that metacognitive networks of an individual, social and socially shared metacognitive nature are embedded in qualitative data, and can be exploited to develop new metacognitive theory. We offer a novel three-step process in this methodology paper to extract metacognitive networks using Microsoft Office, ATLAS.ti and NodeXL.
Many more publications that make use of NodeXL can be found here.
Your NodeXL publications can be presented in our future Social Media Research Foundation newsletters, please contact us with details about your paper!
Worth a look: NodeXL around the Web
Hashtag Chaos: #AAA2016 vs. #amanth2016
by Samuel G. Collins
Visualizing Academic Writing: Beyond the Bibliography
by Michael Paskevicius
European Public Health Conference (#EPHVienna) Nov 2016: learning from Twitter (updated throughout conference)
by Graham Mackenzie
100 Sources on Research and Monitoring in Social Media
by Brazilian Institute of Research and Data Analysis
Recent and Upcoming NodeXL Events
Planned NodeXL events for 2017
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