The graph represents a network of 2,896 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, 07 September 2021 at 21:42 UTC.
The requested start date was Tuesday, 07 September 2021 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, 28-minute period from Tuesday, 24 August 2021 at 00:25 UTC to Monday, 06 September 2021 at 23:53 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 : 2896
Unique Edges : 1483
Edges With Duplicates : 3855
Total Edges : 5338
Number of Edge Types : 5
Retweet : 1808
MentionsInRetweet : 2041
Replies to : 329
Mentions : 741
Tweet : 419
Self-Loops : 427
Reciprocated Vertex Pair Ratio : 0.0195139911634757
Reciprocated Edge Ratio : 0.0382809678584327
Connected Components : 531
Single-Vertex Connected Components : 228
Maximum Vertices in a Connected Component : 710
Maximum Edges in a Connected Component : 1700
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.22588
Graph Density : 0.000330275098044829
Modularity : 0.524217
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 2,896 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, 07 September 2021 at 21:42 UTC.
The requested start date was Tuesday, 07 September 2021 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, 28-minute period from Tuesday, 24 August 2021 at 00:25 UTC to Monday, 06 September 2021 at 23:53 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:
[391] chest,pain [390] arginine,decreases [390] decreases,chest [390] pain,angina [390] angina,improves [390] improves,sexual [390] sexual,function [390] function,men [390] men,erectile [390] erectile,dysfunction Top Word Pairs in Tweet in G1:
[92] expert,review [89] ajog,expert [89] review,preeclampsia [79] ajog_thegray,ajog [33] preterm,birth [31] sars,cov [30] cov,subsequent [30] subsequent,development [30] birth,evidence [30] evidence,dose Top Word Pairs in Tweet in G2:
[228] การต,งครรภ [228] งครรภ,คร [228] คร,งน [228] งน,งม [228] งม,ความเส [228] ความเส,ยงเยอะมากเลยนะร [228] ยงเยอะมากเลยนะร,ไหม [228] ไหม,หน [228] หน,งในน [228] งในน,นค Top Word Pairs in Tweet in G3:
[20] blood,pressure [15] covid,19 [14] riesgo,preeclampsia [13] tienen,riesgo [12] high,blood [12] embarazadas,covid [11] 19,tienen [10] postpartum,preeclampsia [8] gestational,diabetes [7] pregnant,women Top Word Pairs in Tweet in G4:
[390] arginine,decreases [390] decreases,chest [390] chest,pain [390] pain,angina [390] angina,improves [390] improves,sexual [390] sexual,function [390] function,men [390] men,erectile [390] erectile,dysfunction Top Word Pairs in Tweet in G5:
[3] gestational,diabetes [2] diabetes,elevated [2] elevated,bp [2] bp,bone [2] bone,tooth [2] tooth,loss [2] loss,broken [2] broken,bones [2] bones,hyperemesis [2] hyperemesis,gravidum Top Word Pairs in Tweet in G6:
[134] doctorjoseefren,preeclampsia [124] preeclampsia,criterios [124] criterios,severidad [124] severidad,cefalea [124] cefalea,persistente [124] persistente,inusual [124] inusual,alteraciones [124] alteraciones,visuales [124] visuales,dolor [124] dolor,severo Top Word Pairs in Tweet in G7:
[62] mg,dl [59] toxicidad,sulfato [59] sulfato,magnesio [59] magnesio,preeclampsia [59] preeclampsia,eclampsia [59] eclampsia,12 [59] 12,mg [59] dl,pérdida [59] pérdida,reflejos [59] reflejos,tendinosos Top Word Pairs in Tweet in G8:
[80] high,blood [80] blood,pressure [79] preeclampsia,serious [79] serious,pregnancy [79] pregnancy,complication [79] complication,characterized [79] characterized,high [79] pressure,threaten [79] threaten,lives [79] lives,both Top Word Pairs in Tweet in G9:
[72] repercusión,cardiovascular [72] cardiovascular,renal [72] renal,preeclampsia [72] preeclampsia,1er [72] 1er,causa [72] causa,muerte [72] muerte,edema [72] edema,agudo [72] agudo,pulmón [72] pulmón,casi Top Word Pairs in Tweet in G10:
[60] embarazo,subroga [60] subroga,panda [60] panda,psicó [60] psicó,patas [60] patas,vómitos [60] vómitos,anemia [60] anemia,hipertensión [60] hipertensión,diabetes [60] diabetes,gestacional [59] unaenshock,embarazo Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G5:
Top Replied-To in G6:
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:
Top Mentioned in G8:
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: