The graph represents a network of 2,467 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, 04 August 2020 at 22:12 UTC.
The requested start date was Tuesday, 04 August 2020 at 00:01 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, 23-hour, 47-minute period from Tuesday, 21 July 2020 at 00:10 UTC to Monday, 03 August 2020 at 23:58 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 : 2467
Unique Edges : 1230
Edges With Duplicates : 3293
Total Edges : 4523
Number of Edge Types : 5
Replies to : 339
Retweet : 1408
MentionsInRetweet : 1558
Mentions : 811
Tweet : 407
Self-Loops : 415
Reciprocated Vertex Pair Ratio : 0.0222610213880402
Reciprocated Edge Ratio : 0.0435525192143467
Connected Components : 494
Single-Vertex Connected Components : 208
Maximum Vertices in a Connected Component : 567
Maximum Edges in a Connected Component : 1362
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.034456
Graph Density : 0.000384968033845627
Modularity : 0.520857
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 2,467 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, 04 August 2020 at 22:12 UTC.
The requested start date was Tuesday, 04 August 2020 at 00:01 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, 23-hour, 47-minute period from Tuesday, 21 July 2020 at 00:10 UTC to Monday, 03 August 2020 at 23:58 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:
[239] fisiopatología,preeclampsia [239] preeclampsia,primero [239] primero,reacción [239] reacción,inmune [239] inmune,contra [239] contra,citotrofoblastos [239] citotrofoblastos,placenta [239] placenta,segundo [238] doctorjoseefren,fisiopatología [238] segundo,implant Top Word Pairs in Tweet in G1:
[230] fisiopatología,preeclampsia [230] preeclampsia,primero [230] primero,reacción [230] reacción,inmune [230] inmune,contra [230] contra,citotrofoblastos [230] citotrofoblastos,placenta [230] placenta,segundo [229] doctorjoseefren,fisiopatología [229] segundo,implant Top Word Pairs in Tweet in G2:
[15] blood,pressure [11] postpartum,preeclampsia [8] high,blood [7] high,risk [7] covid,19 [5] preeclampsia,eclampsia [5] risk,preeclampsia [5] lot,pregnancy [5] pregnancy,outcomes [5] outcomes,determined Top Word Pairs in Tweet in G3:
[156] breastfeeding,mums [156] mums,willing [156] willing,donate [156] donate,milk [156] milk,urgently [156] urgently,needed [156] needed,months [156] months,pregnancy [156] pregnancy,mother [155] lengalaxy,breastfeeding Top Word Pairs in Tweet in G4:
[27] competing,risk [27] risk,approach [27] approach,prediction [26] prediction,preeclampsia [21] preeclampsia,screening [20] first,trimester [20] screening,prediction [18] trimester,preeclampsia [15] maternal,health [15] ajog_thegray,competing Top Word Pairs in Tweet in G5:
[3] gestational,diabetes [3] really,really [3] notabrokenthing,random_phantom_ [3] random_phantom_,cccriminalcops [3] cccriminalcops,mi_sfrom [3] mi_sfrom,bradleycgibbs [3] criticalcripple,abortionchat [3] abortionchat,npwdbackup1 [3] raedoon1,buzzsaws1990 [3] buzzsaws1990,c76gillian Top Word Pairs in Tweet in G6:
[89] pediatra,estas [89] estas,ginecologa [89] ginecologa,estoy [89] estoy,pidiendo [89] pidiendo,cesarea [89] cesarea,preeclampsia [89] preeclampsia,28 [89] 28,semanas [88] amikacinamd,pediatra [3] doctorjoseefren,fisiopatología Top Word Pairs in Tweet in G7:
[2] hupperichwerner,macbaird13 [2] macbaird13,monstatofu [2] monstatofu,rainmc [2] rainmc,smcwoof [2] smcwoof,pjmoore1958 [2] pjmoore1958,kathmarval [2] kathmarval,beckyjohnson222 [2] beckyjohnson222,barryjohnreid21 Top Word Pairs in Tweet in G8:
[17] acog,mysmfm [15] ahauspurg,abattarbee [15] mysmfm,preeclampsia [14] abattarbee,breinerson [13] hysimhan,cmpettker [13] cmpettker,ahauspurg [13] nateyblue,acog [12] breinerson,nateyblue [8] expectant,management [8] mfmsperling,hysimhan Top Word Pairs in Tweet in G9:
[38] serious,note [38] note,being [38] being,baby [38] baby,died [38] died,preeclampsia [38] preeclampsia,treated [38] treated,due [38] due,negligence [38] negligence,hope [37] nayszn,serious Top Word Pairs in Tweet in G10:
[32] placenta,checks [32] checks,preeclampsia [32] preeclampsia,boxes [32] boxes,small [32] small,gestational [32] gestational,age [32] age,decidual [32] decidual,vasculopathy [32] vasculopathy,accelerated [31] chucktowndoc,placenta Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: