The graph represents a network of 4,707 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 Wednesday, 26 February 2020 at 21:51 UTC.
The requested start date was Wednesday, 26 February 2020 at 19:10 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 33-minute period from Wednesday, 12 February 2020 at 19:26 UTC to Wednesday, 26 February 2020 at 18:59 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 : 4707
Unique Edges : 5170
Edges With Duplicates : 902
Total Edges : 6072
Number of Edge Types : 4
Replies to : 399
Tweet : 465
MentionsInRetweet : 3812
Mentions : 1396
Self-Loops : 465
Reciprocated Vertex Pair Ratio : 0.0175894463322007
Reciprocated Edge Ratio : 0.0345708112355137
Connected Components : 526
Single-Vertex Connected Components : 241
Maximum Vertices in a Connected Component : 2321
Maximum Edges in a Connected Component : 2357
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.303759
Graph Density : 0.000229830136974428
Modularity : 0.688693
NodeXL Version : 1.0.1.425
Data Import : The graph represents a network of 4,707 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 Wednesday, 26 February 2020 at 21:51 UTC.
The requested start date was Wednesday, 26 February 2020 at 19:10 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 33-minute period from Wednesday, 12 February 2020 at 19:26 UTC to Wednesday, 26 February 2020 at 18:59 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:
[2281] preeclampsia,severa [2272] madre,preeclampsia [2271] hoy,madrugada [2271] madrugada,bebé [2271] bebé,pretermino [2271] pretermino,hija [2271] hija,madre [2271] severa,recuerda [2271] recuerda,medio [2271] medio,tanta Top Word Pairs in Tweet in G1:
[2262] preeclampsia,severa [2261] madre,preeclampsia [2260] hoy,madrugada [2260] madrugada,bebé [2260] bebé,pretermino [2260] pretermino,hija [2260] hija,madre [2260] severa,recuerda [2260] recuerda,medio [2260] medio,tanta Top Word Pairs in Tweet in G2:
[16] #telemedicine,#ggr [15] #ggr,#preeclampsia [15] masaka,hospital [11] blood,pressure [9] kim,kardashian [9] preeclampsia,#telemedicine [8] severe,preeclampsia [7] antioxidante,hongos [7] hongos,podría [7] podría,tratar Top Word Pairs in Tweet in G3:
[61] mysmfm,preeclampsia [58] greenjrnl,uthealthobgyn [58] uthealthobgyn,physrelations [58] physrelations,mysmfm [58] preeclampsia,500wim [58] 500wim,500womensci [42] jackie_parchem,greenjrnl [28] adverse,neonatal [27] excited,share [27] share,paper Top Word Pairs in Tweet in G4:
[105] blood,pressure [104] #preeclampsia,characterised [104] characterised,high [104] high,blood [104] pressure,leaking [104] leaking,protein [104] protein,urine [104] urine,during [104] during,#pregnancy [104] #pregnancy,become Top Word Pairs in Tweet in G5:
[41] bp,gt [41] gt,160 [41] 160,110 [41] 110,pregnancy [41] pregnancy,postpartum [41] postpartum,medical [41] medical,emergency [41] emergency,women [41] women,preeclampsia [41] preeclampsia,symptoms Top Word Pairs in Tweet in G6:
[4] godisgood1836,asouthernpenny [4] asouthernpenny,shanoawarrior [4] shanoawarrior,bbgirlresists [4] bbgirlresists,daphgillentine [4] daphgillentine,jvaghyjones [4] jvaghyjones,_dream_out_loud [4] _dream_out_loud,jwmiii86 [3] aitorlorda85,godisgood1836 [3] jwmiii86,bra [3] torn,perineums Top Word Pairs in Tweet in G7:
[29] educate,patients [24] preeclampsia,leading [24] leading,cause [24] cause,death [24] death,worldwide [24] worldwide,women [24] women,fetuses [24] fetuses,newborns [24] newborns,educate [24] patients,symptoms Top Word Pairs in Tweet in G8:
[61] creería,tratarse [61] tratarse,exposición [61] exposición,postgrado [61] postgrado,umae [61] umae,frente [61] frente,jefe [61] jefe,servicio [61] servicio,mb [61] mb,co [61] co,erre Top Word Pairs in Tweet in G9:
[50] asiachloebrown,someone [50] someone,gave [50] gave,birth [50] birth,18 [50] 18,preeclampsia [50] preeclampsia,killed [49] sapiopaz,asiachloebrown [4] kiaaaash,veryykenzie [4] veryykenzie,justdeshawn [4] justdeshawn,thankfully Top Word Pairs in Tweet in G10:
[52] testament,granddaughter [52] granddaughter,born [52] born,lbs [52] lbs,25 [52] 25,weeks [52] weeks,mother [52] mother,suffered [52] suffered,preeclampsia [51] rsutton57,testament [51] preeclampsia,sure Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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 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:
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Top Tweeters in G9:
Top Tweeters in G10: