The graph represents a network of 2,131 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, 16 February 2021 at 22:02 UTC.
The requested start date was Tuesday, 16 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, 21-minute period from Tuesday, 02 February 2021 at 01:12 UTC to Monday, 15 February 2021 at 23:34 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 : 2131
Unique Edges : 1470
Edges With Duplicates : 2943
Total Edges : 4413
Number of Edge Types : 5
Retweet : 1134
MentionsInRetweet : 1566
Tweet : 495
Mentions : 953
Replies to : 265
Self-Loops : 504
Reciprocated Vertex Pair Ratio : 0.0495272399819901
Reciprocated Edge Ratio : 0.0943800943800944
Connected Components : 454
Single-Vertex Connected Components : 217
Maximum Vertices in a Connected Component : 1026
Maximum Edges in a Connected Component : 2853
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 5.076435
Graph Density : 0.00051354584569831
Modularity : 0.509999
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 2,131 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, 16 February 2021 at 22:02 UTC.
The requested start date was Tuesday, 16 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, 21-minute period from Tuesday, 02 February 2021 at 01:12 UTC to Monday, 15 February 2021 at 23:34 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:
[103] preeclampsia,very [102] renowned,male [102] male,obstetrician [102] obstetrician,india [102] india,presenting [102] presenting,preeclampsia [102] very,important [101] dr_somyagupta,renowned [101] important,patien [100] 100,000 Top Word Pairs in Tweet in G1:
[18] blood,pressure [11] high,blood [8] revisiting,preeclampsia [8] preeclampsia,metabolic [8] metabolic,disorder [8] disorder,placenta [8] placenta,#neopapers [8] smfm,conference [8] conference,publications [8] publications,highlight Top Word Pairs in Tweet in G2:
[38] risk,factor [36] black,women [30] early,onset [29] independent,risk [29] factor,early [29] onset,coronary [29] coronary,artery [29] artery,calcification [29] preeclampsia,maternal [28] based,maternal Top Word Pairs in Tweet in G3:
[20] blood,pressure [18] high,blood [16] postpartum,period [15] dyk,high [15] pressure,begin [15] begin,continue [15] continue,during [15] during,postpartum [15] period,common [15] common,#preeclampsia Top Word Pairs in Tweet in G4:
[95] preeclampsia,hta [95] hta,140 [95] 140,90 [95] 90,proteinuria [95] proteinuria,gt [95] gt,3g [95] 3g,24 [95] 24,hrs [95] hrs,gt [95] gt,20 Top Word Pairs in Tweet in G5:
[56] ajog_thegray,ajog [48] syncytiotrophoblast,stress [47] ajog,expert [47] expert,review [41] stress,preeclampsia [41] convergence,point [41] point,multiple [41] multiple,pathways [40] review,syncytiotrophoblast [38] preeclampsia,convergence Top Word Pairs in Tweet in G6:
[102] renowned,male [102] male,obstetrician [102] obstetrician,india [102] india,presenting [102] presenting,preeclampsia [102] preeclampsia,very [102] very,important [101] dr_somyagupta,renowned [101] important,patien [5] blood,pressure Top Word Pairs in Tweet in G7:
[5] gestational,diabetes [3] preeclampsia,gestational [3] iâ,ve [3] skin,stretched [3] hips,spread [3] fractured,tailbone [2] atheistengineer,march_for_life [2] abbylcannon,ginnyscamander [2] ginnyscamander,guttmacher [2] diabetes,vaginal Top Word Pairs in Tweet in G8:
[23] preeclampsia,hellp [21] started,eculizumab [21] eculizumab,treatment [21] treatment,preeclampsia [21] hellp,syndrome [21] syndrome,going [20] richardburwick,started [9] linayoussef17,jezidmiranda [9] jezidmiranda,miki_blasco [9] miki_blasco,fatimacrispi Top Word Pairs in Tweet in G9:
[3] severe,preeclampsia [2] jamestitcombe,normal [2] normal,died [2] died,within [2] within,hours [2] hours,during [2] during,near [2] near,fatal [2] fatal,experience [2] experience,severe Top Word Pairs in Tweet in G10:
[5] preeclampsia,foundation [3] squares,benefit [3] benefit,preeclampsia [2] tedbauer2003,susie_parker [2] susie_parker,joshmccormack [2] joshmccormack,ideabloke [2] ideabloke,thecomichunter [2] thecomichunter,hrwhale [2] hrwhale,twigliot [2] twigliot,farahghuznavi Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: