The graph represents a network of 2,968 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, 14 December 2021 at 23:33 UTC.
The requested start date was Tuesday, 14 December 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, 2-minute period from Tuesday, 30 November 2021 at 01:22 UTC to Monday, 13 December 2021 at 23:24 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 : 2968
Unique Edges : 1885
Edges With Duplicates : 3927
Total Edges : 5812
Number of Edge Types : 5
Replies to : 438
Mentions : 1043
Retweet : 1634
MentionsInRetweet : 2203
Tweet : 494
Self-Loops : 505
Reciprocated Vertex Pair Ratio : 0.0222431077694236
Reciprocated Edge Ratio : 0.0435182347532945
Connected Components : 563
Single-Vertex Connected Components : 236
Maximum Vertices in a Connected Component : 618
Maximum Edges in a Connected Component : 1820
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.624571
Graph Density : 0.000370540455341188
Modularity : 0.566589
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,968 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, 14 December 2021 at 23:33 UTC.
The requested start date was Tuesday, 14 December 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, 2-minute period from Tuesday, 30 November 2021 at 01:22 UTC to Monday, 13 December 2021 at 23:24 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:
[192] blood,pressure [151] gave,birth [149] expert,review [147] ajog,expert [144] review,preeclampsia [139] ajog_thegray,ajog [116] developed,preeclampsia [115] high,blood [112] 34,weeks [111] both,times Top Word Pairs in Tweet in G1:
[23] blood,pressure [19] ø,ø [19] ø,ù [18] ù,ø [17] gestational,diabetes [12] high,blood [10] heart,failure [10] postpartum,preeclampsia [9] preeclampsia,gestational [9] ù,ù Top Word Pairs in Tweet in G2:
[56] veces,pacientes [55] orlandorpn,sobrecarga [55] sobrecarga,hídrica [55] hídrica,complicación [55] complicación,iatrógena [55] iatrógena,mayoría [55] mayoría,veces [55] pacientes,obstétricas [55] obstétricas,aún [54] aún,preeclamps Top Word Pairs in Tweet in G3:
[135] expert,review [133] ajog,expert [129] review,preeclampsia [125] ajog_thegray,ajog [35] preeclampsia,decidualization [35] decidualization,resistance [35] resistance,origin [35] origin,preeclampsia [30] preeclampsia,integrated [30] integrated,model Top Word Pairs in Tweet in G4:
[27] gestational,diabetes [18] pro,life [17] life,pro [17] life,forced [17] forced,miscarriage [17] miscarriage,forced [17] forced,preeclampsia [17] preeclampsia,forced [17] forced,gestational [17] diabetes,forced Top Word Pairs in Tweet in G5:
[25] preeclampsia,eclampsia [23] risk,factor [21] congratulations,dswilliams_md [21] dswilliams_md,study [21] study,identifying [21] identifying,two [21] two,fold [21] fold,increased [21] increased,risk [21] risk,#hfpef Top Word Pairs in Tweet in G6:
[23] maternal,health [18] health,day [18] day,action [15] vp,kamala [15] countthekicksus,acogaction [15] acogaction,mysmfm [14] 2degreesfund,countthekicksus [12] kamala,harris [12] preeclampsia,dc_amchp [12] dc_amchp,embracequilt Top Word Pairs in Tweet in G7:
[106] both,times [105] times,gave [105] gave,birth [105] birth,developed [105] developed,preeclampsia [105] preeclampsia,time [105] time,bad [105] bad,dangerous [105] dangerous,induced [105] induced,34 Top Word Pairs in Tweet in G8:
[37] black,women [36] signs,symptoms [35] jcaze73,becauseofthem [35] becauseofthem,easy [35] easy,call [35] call,gyn [35] gyn,md [35] md,make [35] make,listed [35] listed,signs Top Word Pairs in Tweet in G9:
[77] preeclampsia,trastorno [77] trastorno,hipertensivo [77] hipertensivo,embarazo [77] embarazo,tratada [77] tratada,causar [77] causar,daños [77] daños,cerebro [76] tamaulipassalud,preeclampsia [21] unidad,salud [20] acude,inmediatamente Top Word Pairs in Tweet in G10:
[59] 100,covid [59] covid,affects [59] affects,blood [59] blood,vessels [59] vessels,means [59] means,affect [59] affect,way [59] way,placenta [59] placenta,implants [59] implants,functions Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
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:
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: