The graph represents a network of 3,138 Twitter users whose recent tweets contained "statins", 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 Thursday, 26 September 2019 at 17:51 UTC.
The tweets in the network were tweeted over the 9-day, 10-hour, 42-minute period from Tuesday, 17 September 2019 at 07:03 UTC to Thursday, 26 September 2019 at 17:46 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 : 3138
Unique Edges : 4507
Edges With Duplicates : 576
Total Edges : 5083
Self-Loops : 434
Reciprocated Vertex Pair Ratio : 0.0243450034778576
Reciprocated Edge Ratio : 0.04753282028067
Connected Components : 433
Single-Vertex Connected Components : 181
Maximum Vertices in a Connected Component : 1920
Maximum Edges in a Connected Component : 3639
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.991154
Graph Density : 0.000448805585912746
Modularity : 0.763146
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[677] heart,attack [671] beta,blockers [658] s,statins [653] ace,inhibitors [652] osama,bin [652] bin,oxygen [652] oxygen,s [652] statins,aspirin [652] aspirin,m [652] m,morphine Top Word Pairs in Tweet in G1:
[509] heart,attack [509] attack,treatment [509] treatment,options [509] options,mnemonic [509] mnemonic,osama [509] osama,bin [509] bin,oxygen [509] oxygen,s [509] s,statins [509] statins,aspirin Top Word Pairs in Tweet in G2:
[99] public,health [89] mass,prescription [62] health,disaster [59] commercial,conflicts [59] conflicts,interest [58] cholesterol,incompetent [58] incompetent,scientists [58] scientists,commercial [58] interest,cardiologist [53] #badpharma,#nhs Top Word Pairs in Tweet in G3:
[137] big,pharma [134] biggest,money [134] money,makers [134] makers,pharma [134] pharma,cancer [134] cancer,drugs [134] drugs,diabetes [134] diabetes,meds [134] meds,pain [134] pain,killers Top Word Pairs in Tweet in G4:
[12] mass,prescription [12] side,effects [10] prescription,statins [9] public,health [8] take,statins [8] cholesterol,lowering [7] health,disaster' [6] type,2 [6] age,75 [5] taking,statins Top Word Pairs in Tweet in G5:
[141] heart,attack [141] osama,bin [141] bin,oxygen [141] oxygen,s [141] s,statins [141] statins,aspirin [141] aspirin,m [141] m,morphine [141] morphine,ace [141] ace,inhibitors Top Word Pairs in Tweet in G6:
[99] cholesterol,lowering [97] #statin,use [97] use,increases [97] increases,glucagon [97] glucagon,#insulinresistance [97] #insulinresistance,providing [97] providing,two [97] two,mechanisms [97] mechanisms,whereby [97] whereby,cholesterol Top Word Pairs in Tweet in G7:
[68] public,health [67] mass,prescription [66] prescription,statins [66] statins,'is [66] 'is,public [66] health,disaster' [60] disaster',mailonline [7] take,statins [6] drjasonfung,mailonline [6] heart,disease Top Word Pairs in Tweet in G8:
[24] up,40 [23] healthy,lifestyle [21] familial,hypercholesterolemia [21] statins,lower [21] lower,coq10 [21] coq10,levels [21] levels,up [20] one,lesser [20] lesser,known [20] known,side Top Word Pairs in Tweet in G9:
[8] lp,post [8] high,doses [7] mg,dl [7] post,statins [7] 8,24 [6] meta,analysis [6] morning,saw [6] saw,3 [6] 3,cad [6] cad,diabetic Top Word Pairs in Tweet in G10:
[10] many,more [5] more,disaster [5] disaster,benzodiazepines [5] benzodiazepines,antidepressants [5] antidepressants,opioids [5] opioids,statins [5] statins,many [5] more,lives [5] lives,ruined [5] yattypat,jennifer_hies Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: