The graph represents a network of 2,001 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, 23 February 2021 at 22:01 UTC.
The requested start date was Tuesday, 23 February 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, 34-minute period from Tuesday, 09 February 2021 at 02:01 UTC to Tuesday, 23 February 2021 at 00:36 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 : 2001
Unique Edges : 1411
Edges With Duplicates : 2774
Total Edges : 4185
Number of Edge Types : 5
Retweet : 1164
MentionsInRetweet : 1677
Replies to : 243
Mentions : 679
Tweet : 422
Self-Loops : 427
Reciprocated Vertex Pair Ratio : 0.0388940955951265
Reciprocated Edge Ratio : 0.0748759585024808
Connected Components : 428
Single-Vertex Connected Components : 201
Maximum Vertices in a Connected Component : 993
Maximum Edges in a Connected Component : 2954
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 5.132066
Graph Density : 0.000553973013493253
Modularity : 0.499688
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 2,001 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, 23 February 2021 at 22:01 UTC.
The requested start date was Tuesday, 23 February 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, 34-minute period from Tuesday, 09 February 2021 at 02:01 UTC to Tuesday, 23 February 2021 at 00:36 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:
[206] doctorjoseefren,preeclampsia [159] preeclampsia,eclampsia [151] mg,dl [148] sulfato,magnesio [147] toxicidad,sulfato [147] magnesio,preeclampsia [147] eclampsia,12 [147] 12,mg [147] dl,pérdida [147] pérdida,reflejos Top Word Pairs in Tweet in G1:
[183] doctorjoseefren,preeclampsia [106] plaquetas,lt [106] lt,100 [106] 100,000 [105] preeclampsia,hta [105] hta,140 [105] 140,90 [105] 90,proteinuria [105] proteinuria,gt [105] gt,3g Top Word Pairs in Tweet in G2:
[22] blood,pressure [15] high,blood [8] pregnant,women [8] presión,arterial [7] heart,disease [6] preeclampsia,eclampsia [6] smfm,conference [6] conference,publications [6] publications,highlight [6] highlight,challenges Top Word Pairs in Tweet in G3:
[42] blood,pressure [21] pressure,home [17] high,blood [15] postpartum,period [15] sagittal,section [15] section,cervix [15] cylpoon1,preeclampsia [14] dyk,high [14] pressure,begin [14] begin,continue Top Word Pairs in Tweet in G4:
[144] mg,dl [141] toxicidad,sulfato [141] sulfato,magnesio [141] magnesio,preeclampsia [141] preeclampsia,eclampsia [141] eclampsia,12 [141] 12,mg [141] dl,pérdida [141] pérdida,reflejos [141] reflejos,tendinosos Top Word Pairs in Tweet in G5:
[52] independent,risk [52] risk,factor [52] factor,early [52] early,onset [52] onset,coronary [52] coronary,artery [52] artery,calcification [44] call,risk [44] risk,assessment [39] preeclampsia,independent Top Word Pairs in Tweet in G6:
[18] carmendemigue12,hyperaha [17] #hyphip,hyperaha [17] mari_br_montrea,hyperaha [16] nmhheartdoc,chuzisarah [16] chuzisarah,vorovichheartmd [16] vorovichheartmd,northwesternmed [16] northwesternmed,onco_cardiology [16] onco_cardiology,lubafrank11 [16] lubafrank11,heartcuredoc [16] heartcuredoc,vietheartpa Top Word Pairs in Tweet in G7:
[3] preeclampsia,gestational [3] gestational,diabetes Top Word Pairs in Tweet in G8:
[2] revolutionary,patented [2] patented,tailored [2] tailored,therapeutics [2] therapeutics,transform [2] transform,preeclampsia [2] preeclampsia,care [2] care,mze786 [2] mze786,publications [2] publications,online [2] jamestitcombe,normal Top Word Pairs in Tweet in G9:
[20] nulliparous,women [20] women,positive [19] preeclampsia,screening [18] positive,first [18] first,trimester [18] screening,test [17] preterm,preeclampsia [16] pregnancy,outcomes [16] outcomes,nulliparous [16] trimester,preterm Top Word Pairs in Tweet in G10:
[12] #goredforwomen,remember [12] remember,#maternalmortality [12] #maternalmortality,#stroke [12] #stroke,cardiovascular [12] cardiovascular,causes [12] causes,preventable [12] preventable,see [11] elizamillermd,#goredforwomen [8] hemolysis,severe [8] blood,pressure Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: