The graph represents a network of 1,720 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, 22 December 2020 at 22:01 UTC.
The requested start date was Tuesday, 22 December 2020 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, 23-hour, 9-minute period from Tuesday, 08 December 2020 at 01:51 UTC to Tuesday, 22 December 2020 at 01:00 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 : 1720
Unique Edges : 1177
Edges With Duplicates : 1743
Total Edges : 2920
Number of Edge Types : 5
Replies to : 333
Mentions : 567
Tweet : 370
Retweet : 730
MentionsInRetweet : 920
Self-Loops : 373
Reciprocated Vertex Pair Ratio : 0.0377121307353865
Reciprocated Edge Ratio : 0.0726832222895215
Connected Components : 482
Single-Vertex Connected Components : 218
Maximum Vertices in a Connected Component : 172
Maximum Edges in a Connected Component : 409
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 2.581215
Graph Density : 0.000558396579947779
Modularity : 0.580774
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 1,720 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, 22 December 2020 at 22:01 UTC.
The requested start date was Tuesday, 22 December 2020 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, 23-hour, 9-minute period from Tuesday, 08 December 2020 at 01:51 UTC to Tuesday, 22 December 2020 at 01:00 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:
[106] doctorjoseefren,preeclampsia [102] preeclampsia,criterios [102] criterios,severidad [102] severidad,cefalea [102] cefalea,persistente [102] persistente,inusual [102] inusual,alteraciones [102] alteraciones,visuales [102] visuales,epigastralgia [100] epigastralgia,hipocon Top Word Pairs in Tweet in G1:
[15] blood,pressure [12] preeclampsia,diabetes [11] esperar,hijo [11] hijo,sexo [11] sexo,masculino [11] masculino,aumenta [11] aumenta,riesgo [11] riesgo,complicaciones [11] complicaciones,embarazo [11] embarazo,preeclampsia Top Word Pairs in Tweet in G2:
[106] doctorjoseefren,preeclampsia [102] preeclampsia,criterios [102] criterios,severidad [102] severidad,cefalea [102] cefalea,persistente [102] persistente,inusual [102] inusual,alteraciones [102] alteraciones,visuales [102] visuales,epigastralgia [100] epigastralgia,hipocon Top Word Pairs in Tweet in G3:
[81] samantha,born [81] born,25 [81] 25,weeks [81] weeks,four [81] four,days [81] days,due [81] due,servere [81] servere,onset [81] onset,preeclampsia [80] medi_cosity,samantha Top Word Pairs in Tweet in G4:
[76] #héroesdelaire,paramédicos [76] paramédicos,bordo [76] bordo,aeronave [76] aeronave,041 [76] 041,realizan [76] realizan,traslado [76] traslado,embarazada [76] embarazada,37 [76] 37,semanas [75] senanpanama,#héroesdelaire Top Word Pairs in Tweet in G5:
[24] long,term [23] glad,see [23] see,published [23] published,nephrologist's [23] nephrologist's,take [23] take,pathology [23] pathology,diagnosis [23] diagnosis,rx [23] rx,advances [23] advances,important Top Word Pairs in Tweet in G6:
[16] nhmrc,funding [12] j_rvl,study [10] funding,develop [10] develop,better [10] better,monitoring [10] monitoring,treatment [10] treatment,options [10] options,#preeclampsia [10] #preeclampsia,woman [9] mcclementslana,nhmrc Top Word Pairs in Tweet in G7:
[11] jackie_parchem,jci_insight [11] preeclampsia,mysmfm [10] jci_insight,mdandersonnews [10] mdandersonnews,uthealthobgyn [10] uthealthobgyn,preeclampsia [10] mysmfm,kallurilab [10] kallurilab,keulsrachel [10] keulsrachel,fndnforsmfm [8] fndnforsmfm,lovisasara [8] lovisasara,val_lebleu Top Word Pairs in Tweet in G8:
[8] evanjstern,preeclampsia [5] childbirth,preeclampsia [4] severe,preeclampsia [3] during,pregnancy [3] evanjstern,childbirth [3] being,born [3] evanjstern,died [3] mom,preeclampsia [3] mother,preeclampsia [2] evanjstern,possibly Top Word Pairs in Tweet in G9:
[3] emergency,section [3] blood,pressure [2] davarechad,maqart55 [2] maqart55,ginnyscamander [2] ginnyscamander,obaxvii [2] obaxvii,abortionchat [2] bodily,autonomy [2] hips,spread [2] diabetes,preeclampsia [2] 30,hrs Top Word Pairs in Tweet in G10:
[2] shamar_ezer,bitchesdecision [2] bitchesdecision,katelyntweeter [2] katelyntweeter,to_discussion Top Replied-To in Entire Graph:
Top Replied-To in G5:
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:
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: