The graph represents a network of 1,235 Twitter users whose tweets in the requested range contained "Xeljanz", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 15 August 2019 at 17:05 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, 5-hour, 12-minute period from Saturday, 01 June 2019 at 16:02 UTC to Tuesday, 13 August 2019 at 21:15 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 : 1235
Unique Edges : 1531
Edges With Duplicates : 625
Total Edges : 2156
Number of Edge Types : 3
Tweet : 403
Replies to : 108
Mentions : 1645
Self-Loops : 403
Reciprocated Vertex Pair Ratio : 0.00344827586206897
Reciprocated Edge Ratio : 0.00687285223367698
Connected Components : 287
Single-Vertex Connected Components : 197
Maximum Vertices in a Connected Component : 512
Maximum Edges in a Connected Component : 996
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.707237
Graph Density : 0.000954730674085788
Modularity : 0.556869
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[432] enbrel,appeared [432] appeared,reduce [432] reduce,risk [432] risk,alzheimer's [432] alzheimer's,disease [432] disease,64 [432] 64,pfizer [432] pfizer,pursue [432] pursue,rigorous [431] markmobility,enbrel Top Word Pairs in Tweet in G1:
[430] enbrel,appeared [430] appeared,reduce [430] reduce,risk [430] risk,alzheimer's [430] alzheimer's,disease [430] disease,64 [430] 64,pfizer [430] pfizer,pursue [430] pursue,rigorous [429] markmobility,enbrel Top Word Pairs in Tweet in G2:
[48] xeljanz,xr [42] blood,clots [38] xeljanz,xeljanz [37] risk,blood [36] clots,death [33] increased,risk [30] rheumatoid,arthritis [29] xr,tofacitinib [28] drug,xeljanz [28] higher,dose Top Word Pairs in Tweet in G3:
[4] co,pay [4] 8,yrs [4] evescottgarner,yolalindayola [4] yolalindayola,doug_in_nc [4] jessie09jzo,madmamavotes [4] edieconstantine,bri4change [4] ibda14u,chuckkeller14 [4] chuckkeller14,lucy72794184 [4] wandainparis,3writeandwrong3 [4] mcgeezer67,catastrophany Top Word Pairs in Tweet in G4:
[18] increased,risk [18] risk,blood [16] blood,clots [14] clots,death [11] blood,clot [11] fda,higher [11] higher,doses [9] fda,providing [9] providing,update [9] update,investigation Top Word Pairs in Tweet in G5:
[37] fda,warns [37] warns,patients [37] patients,taking [37] taking,10 [37] 10,milligram [37] milligram,dose [37] dose,pfizer [37] pfizer,drug [37] drug,xeljanz [37] xeljanz,higher Top Word Pairs in Tweet in G6:
[25] les,patients [22] chez,les [21] aux,médecins [19] à,dose [19] deux,fois [19] fois,par [19] par,jour [18] recommandation,aux [18] médecins,ne [18] ne,plus Top Word Pairs in Tweet in G8:
[14] pfizer,drug [13] fda,puts [13] puts,stringent [13] stringent,warning [13] warning,pfizer [13] drug,xeljanz [12] xeljanz,clots [7] clots,deaths [7] three,weeks [7] weeks,story Top Word Pairs in Tweet in G9:
[2] enbrel,humira [2] xeljanz,#rheum [2] #rheum,sepsis [2] sepsis,alert [2] took,months Top Word Pairs in Tweet in G10:
[8] هيئة,الغذاء [8] الغذاء,والدواء [8] والدواء,الأمريكية [8] الأمريكية,تضيف [8] تضيف,تحذيرا [8] تحذيرا,إلى [8] إلى,دواء [8] دواء,زيلجانز [8] زيلجانز,xeljanz [8] xeljanz,يسبب Top Replied-To in Entire Graph:
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Top Tweeters in Entire Graph:
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