The graph represents a network of 2,032 Twitter users whose tweets in the requested range contained "Preeclampsia", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 02 March 2021 at 22:01 UTC.
The requested start date was Tuesday, 02 March 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 22-hour, 31-minute period from Tuesday, 16 February 2021 at 01:14 UTC to Monday, 01 March 2021 at 23:45 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 : 2032
Unique Edges : 1447
Edges With Duplicates : 2767
Total Edges : 4214
Number of Edge Types : 5
Mentions : 609
Retweet : 1203
MentionsInRetweet : 1702
Replies to : 283
Tweet : 417
Self-Loops : 422
Reciprocated Vertex Pair Ratio : 0.0369869192602616
Reciprocated Edge Ratio : 0.0713353632013919
Connected Components : 445
Single-Vertex Connected Components : 204
Maximum Vertices in a Connected Component : 532
Maximum Edges in a Connected Component : 1756
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.739015
Graph Density : 0.000557064321908063
Modularity : 0.516144
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 2,032 Twitter users whose tweets in the requested range contained "Preeclampsia", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 02 March 2021 at 22:01 UTC.
The requested start date was Tuesday, 02 March 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 22-hour, 31-minute period from Tuesday, 16 February 2021 at 01:14 UTC to Monday, 01 March 2021 at 23:45 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".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : Preeclampsia
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[223] doctorjoseefren,preeclampsia [191] preeclampsia,eclampsia [154] sulfato,magnesio [154] mg,dl [149] toxicidad,sulfato [149] magnesio,preeclampsia [149] eclampsia,12 [149] 12,mg [149] dl,pérdida [149] pérdida,reflejos Top Word Pairs in Tweet in G1:
[196] doctorjoseefren,preeclampsia [109] preeclampsia,criterios [109] criterios,severidad [109] severidad,cefalea [109] cefalea,persistente [109] persistente,inusual [109] inusual,alteraciones [109] alteraciones,visuales [109] visuales,epigastralgia [108] epigastralgia,hipocond Top Word Pairs in Tweet in G2:
[24] blood,pressure [15] high,blood [8] pregnant,women [8] heart,disease [7] during,pregnancy [6] preeclampsia,eclampsia [6] risk,high [6] risk,heart [6] reduce,risk [5] ve,#preeclampsia Top Word Pairs in Tweet in G3:
[152] mg,dl [149] toxicidad,sulfato [149] sulfato,magnesio [149] magnesio,preeclampsia [149] preeclampsia,eclampsia [149] eclampsia,12 [149] 12,mg [149] dl,pérdida [149] pérdida,reflejos [149] reflejos,tendinosos Top Word Pairs in Tweet in G4:
[37] blood,pressure [23] pressure,home [16] maternal,mortality [15] take,blood [14] during,time [14] time,especially [14] especially,important [14] important,know [14] know,take [14] home,cuff Top Word Pairs in Tweet in G5:
[120] mean,obstructed [120] obstructed,labor [120] labor,due [120] due,inadequate [120] inadequate,pelvis [120] pelvis,expect [120] expect,push [120] push,baby [120] baby,bony [119] olawalesmd,mean Top Word Pairs in Tweet in G6:
[19] nmhheartdoc,chuzisarah [19] chuzisarah,vorovichheartmd [19] vorovichheartmd,northwesternmed [19] northwesternmed,onco_cardiology [19] onco_cardiology,lubafrank11 [19] lubafrank11,heartcuredoc [19] heartcuredoc,vietheartpa [18] niticardio,nmhheartdoc [18] vietheartpa,ajith1 [13] placental,dna Top Word Pairs in Tweet in G7:
[31] expert,review [26] ajog,expert [26] review,proteinuria [26] proteinuria,during [26] during,pregnancy [26] pregnancy,definition [26] definition,pathophysiology [26] pathophysiology,methodology [26] methodology,clinical [26] clinical,significance Top Word Pairs in Tweet in G8:
[7] #goredforwomen,remember [7] remember,#maternalmortality [7] #maternalmortality,#stroke [7] #stroke,cardiovascular [7] cardiovascular,causes [7] causes,preventable [7] preventable,see [6] elizamillermd,#goredforwomen [4] #blackscientist_series,junie [4] junie,warrington Top Word Pairs in Tweet in G9:
[29] risk,assessment [28] independent,risk [28] risk,factor [28] factor,early [28] early,onset [28] onset,coronary [28] coronary,artery [28] artery,calcification [28] call,risk [23] preeclampsia,independent Top Word Pairs in Tweet in G10:
[2] vaginal,prolapse Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: