The graph represents a network of 5,995 Twitter users whose tweets in the requested range contained "diabetes", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 11 June 2019 at 15:06 UTC.
The requested start date was Monday, 10 June 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 5-hour, 8-minute period from Saturday, 08 June 2019 at 06:30 UTC to Sunday, 09 June 2019 at 11:39 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 : 5995
Unique Edges : 6285
Edges With Duplicates : 1287
Total Edges : 7572
Number of Edge Types : 3
Mentions : 5088
Replies to : 709
Tweet : 1775
Self-Loops : 1775
Reciprocated Vertex Pair Ratio : 0.0194322728138693
Reciprocated Edge Ratio : 0.0381237151934218
Connected Components : 1841
Single-Vertex Connected Components : 936
Maximum Vertices in a Connected Component : 1532
Maximum Edges in a Connected Component : 2944
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 6.396732
Graph Density : 0.000148911769706877
Modularity : 0.751407
NodeXL Version : 1.0.1.413
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[499] type,2 [386] 2,diabetes [268] don,t [206] lack,insulin [206] insulin,diabetes [206] diabetes,imbalance [206] imbalance,brain [206] brain,chemicals [206] chemicals,depression [206] depression,mental Top Word Pairs in Tweet in G1:
[129] type,2 [117] 2,diabetes [28] vitamin,d [26] https,t [26] t,co [25] blood,sugar [23] kill,cancer [22] type,1 [19] prevent,type [19] diabetes,mellitus Top Word Pairs in Tweet in G2:
[130] type,2 [67] 2,diabetes [63] 2,#diabetes [55] #ada2019,diabetes_semi [43] #2019ada,#ada2019 [41] risk,type [39] vitamin,d [37] oral,semaglutide [37] liraglutide,placebo [34] observational,studies Top Word Pairs in Tweet in G3:
[49] don,t [44] t,speak [44] speak,hyperbole [44] hyperbole,very [44] very,want [44] want,make [44] make,sure [44] sure,understand [44] understand,big [44] big,deal Top Word Pairs in Tweet in G4:
[31] type,2 [24] 2,diabetes [15] don,t [14] #diabetes,care [13] t2,diabetes [13] appg_diabetes,diabetesuk [13] diabetesuk,abcdiab [12] those,hcps [12] hcps,#diabetes [12] care,feel Top Word Pairs in Tweet in G5:
[206] lack,insulin [206] insulin,diabetes [206] diabetes,imbalance [206] imbalance,brain [206] brain,chemicals [206] chemicals,depression [206] depression,mental [205] miamagdalena,lack [5] philippines,common [5] common,issues Top Word Pairs in Tweet in G6:
[66] today,celebrate [66] celebrate,#noakesday [66] #noakesday,year [66] year,ago [66] ago,proftimnoakes [66] proftimnoakes,acquitted [66] acquitted,charges [66] charges,laid [66] laid,against [66] against,hpcsa_ Top Word Pairs in Tweet in G7:
[173] help,don [173] don,t [173] t,diabetes [173] diabetes,boy [173] boy,gimme [173] gimme,highbp [173] highbp,pls [173] pls,#checkurbloodglucose [173] #checkurbloodglucose,#accucheck [171] frankdonga_,help Top Word Pairs in Tweet in G8:
[30] young,black [30] black,mothers [30] mothers,three [30] three,times [30] times,more [30] more,childbirth [30] childbirth,white [30] white,mothers [30] mothers,diabetes [30] diabetes,prostate Top Word Pairs in Tweet in G9:
[136] take,medicine [68] stop,pill [68] pill,shaming [68] shaming,people [68] people,diabetes [68] diabetes,take [68] medicine,heart [68] heart,problems [68] problems,take [67] brittanyfurlan,stop Top Word Pairs in Tweet in G10:
[47] people,greater [47] greater,risk [47] risk,heart [47] heart,disease [47] disease,stroke [47] stroke,type [47] type,2 [47] 2,diabetes [47] diabetes,depression [47] depression,sleep Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: