The graph represents a network of 78 Twitter users whose recent tweets contained "DiabetesSocMed", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 10 February 2019 at 15:56 UTC.
The tweets in the network were tweeted over the 8-day, 18-hour, 55-minute period from Thursday, 31 January 2019 at 22:44 UTC to Saturday, 09 February 2019 at 17:39 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 78
Unique Edges : 137
Edges With Duplicates : 187
Total Edges : 324
Self-Loops : 55
Reciprocated Vertex Pair Ratio : 0.172185430463576
Reciprocated Edge Ratio : 0.293785310734463
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 78
Maximum Edges in a Connected Component : 324
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.601578
Graph Density : 0.0294705294705295
Modularity : 0.283622
NodeXL Version : 1.0.1.408
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[8] diabetessocmed,idocr [8] beta_change,debgreenwood [7] taking,swing [7] swing,q4 [7] q4,a4 [7] a4,humanity [7] humanity,before [7] before,healthcare [7] healthcare,human [7] human,first Top Word Pairs in Tweet in G2:
[3] thanks,joining [3] check,out [3] diabetessocmed,thengdoc [2] idocr,aadediabetes [2] pediatric,endocrinologist [2] endocrinologist,disheartened [2] disheartened,unitedhealthcare [2] unitedhealthcare,decision [2] decision,further [2] further,limit Top Word Pairs in Tweet in G3:
[6] diabetessocmed,beta_change [6] beta_change,debgreenwood [5] hylozoists,diabetessocmed [5] diabetessocmed,dsma [4] ryanryeguy89,diabetessocmed [4] diabetessocmed,a4 [4] janjava,diabetessocmed [4] those,need [2] a4,keeping [2] keeping,up Top Word Pairs in Tweet in G4:
[4] 9,pm [4] pm,et [4] idocr,team [4] diabetessocmed,idocr [3] diabetessocmed,zsquaredmama [3] idocr,aadediabetes [3] t,wait [3] wait,chat [3] chat,tomorrow [3] tomorrow,night Top Word Pairs in Tweet in G5:
[4] a6,scientist [4] scientist,haven't [4] haven't,asked [4] asked,people [4] people,diabetes [4] diabetes,question [4] question,scientific [4] scientific,community [4] taking,swing [4] swing,q4 Top Word Pairs in Tweet in G6:
[2] drug,companies [2] companies,ashamed [2] ashamed,insulin4all [2] insulin4all,type1diabetes [2] type1diabetes,t1d [2] t1d,healthcarereform [2] healthcarereform,beyondtype1 [2] beyondtype1,diabetesdaily Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6: