The graph represents a network of 1,017 Twitter users whose tweets in the requested range contained "Eliquis", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 16 August 2019 at 15:37 UTC.
The requested start date was Wednesday, 14 August 2019 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 73-day, 20-hour, 24-minute period from Saturday, 01 June 2019 at 02:24 UTC to Tuesday, 13 August 2019 at 22:49 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 : 1017
Unique Edges : 984
Edges With Duplicates : 272
Total Edges : 1256
Number of Edge Types : 3
Replies to : 240
Mentions : 680
Tweet : 336
Self-Loops : 336
Reciprocated Vertex Pair Ratio : 0.0223004694835681
Reciprocated Edge Ratio : 0.0436280137772675
Connected Components : 311
Single-Vertex Connected Components : 136
Maximum Vertices in a Connected Component : 83
Maximum Edges in a Connected Component : 140
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.261049
Graph Density : 0.000842953259161189
Modularity : 0.725131
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[55] bristol,myers [43] eliquis,orencia [42] second,quarter [41] strong,second [34] eliquis,afib [31] apixaban,#eliquis [31] #eliquis,dabigatran [31] dabigatran,etexilate [31] etexilate,#pradaxa [31] #pradaxa,edoxaban Top Word Pairs in Tweet in G1:
[32] bristol,myers [27] eliquis,orencia [25] strong,second [25] second,quarter [21] eliquis,shortness [21] shortness,breath [16] eliquis,causing [16] eliquis,weight [15] causing,weight [15] weight,gain Top Word Pairs in Tweet in G2:
[3] nsaids,contraindicated [3] ms,cotin [2] even,though [2] ckd,eliquis [2] cardio,changed [2] np,change [2] smichie24,joeallennewman [2] joeallennewman,ms [2] cotin,chronic [2] chronic,pancreatitis Top Word Pairs in Tweet in G4:
[31] apixaban,#eliquis [31] #eliquis,dabigatran [31] dabigatran,etexilate [31] etexilate,#pradaxa [31] #pradaxa,edoxaban [31] edoxaban,#lixiana [31] #lixiana,rivaroxaban [31] rivaroxaban,#xarelto [31] #xarelto,recommended [30] apsfa,apixaban Top Word Pairs in Tweet in G5:
[4] c'est,pas [4] ou,xarelto [3] sous,eliquis [3] #doctoctoc,brilique [3] brilique,post [3] post,infarctus [3] infarctus,c'est [3] c'est,vraiment [3] vraiment,mieux [3] mieux,clopidogrel Top Word Pairs in Tweet in G6:
[24] s,p [21] 85yo,s [21] p,4yo [21] 4yo,rca [21] rca,des [21] des,nondm [21] nondm,recent [21] recent,eval [21] eval,cm [21] cm,ef Top Word Pairs in Tweet in G7:
[6] call,boycott [4] boycott,sonobello [3] foxadvertisers,call [3] help,foxnews [3] #resist,#boycottfoxnews [3] #boycottfoxnews,#eliquis [3] #eliquis,bmsnews [3] bmsnews,#pharmaceuticals [3] #pharmaceuticals,#biopharma [3] #biopharma,#atrialfibrillation Top Word Pairs in Tweet in G8:
[16] celebrate,iranian [16] iranian,culture [16] culture,patient [16] patient,brought [16] brought,fesenjān [16] fesenjān,persian [16] persian,stew [16] stew,made [16] made,walnuts [16] walnuts,pomegranate Top Word Pairs in Tweet in G10:
[10] boy,girl [10] girl,prewatchman [10] prewatchman,tee [10] tee,72 [10] 72,f [10] f,pt [10] pt,bmi [10] bmi,32 [10] 32,normal [10] normal,renal 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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