The graph represents a network of 2,099 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 November 2021 at 22:42 UTC.
The requested start date was Tuesday, 16 November 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, 23-hour, 58-minute period from Tuesday, 02 November 2021 at 01:01 UTC to Tuesday, 16 November 2021 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 : 2099
Unique Edges : 1150
Edges With Duplicates : 2959
Total Edges : 4109
Number of Edge Types : 5
Tweet : 480
Replies to : 236
Mentions : 634
Retweet : 1272
MentionsInRetweet : 1487
Self-Loops : 491
Reciprocated Vertex Pair Ratio : 0.0338645418326693
Reciprocated Edge Ratio : 0.0655105973025048
Connected Components : 450
Single-Vertex Connected Components : 238
Maximum Vertices in a Connected Component : 941
Maximum Edges in a Connected Component : 2475
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.70179
Graph Density : 0.000471421544872927
Modularity : 0.505904
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,099 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 November 2021 at 22:42 UTC.
The requested start date was Tuesday, 16 November 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, 23-hour, 58-minute period from Tuesday, 02 November 2021 at 01:01 UTC to Tuesday, 16 November 2021 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:
[241] gestacional,preeclampsia [237] manejo,antihipertensivo [237] antihipertensivo,embarazo [237] embarazo,gestacional [237] preeclampsia,metildopa [237] metildopa,labetalol [237] labetalol,nifedipino [237] nifedipino,hidralazina [236] doctorjoseefren,manejo [236] hidralazina,urge Top Word Pairs in Tweet in G1:
[230] gestacional,preeclampsia [229] manejo,antihipertensivo [229] antihipertensivo,embarazo [229] embarazo,gestacional [229] preeclampsia,metildopa [229] metildopa,labetalol [229] labetalol,nifedipino [229] nifedipino,hidralazina [228] doctorjoseefren,manejo [228] hidralazina,urge Top Word Pairs in Tweet in G2:
[16] blood,pressure [14] due,date [14] preeclampsia,eclampsia [12] #pregnancy,#preeclampsia [10] aspirin,use [9] use,prevent [9] prevent,preeclampsia [9] morbidity,mortality [8] preeclampsia,related [8] related,morbidity Top Word Pairs in Tweet in G3:
[14] blood,pressure [13] pregnancy,related [13] large,prospective [13] prospective,cohort [13] cohort,study [13] study,demonstrated [13] demonstrated,significant [13] significant,differences [13] differences,maternal [13] maternal,serum Top Word Pairs in Tweet in G4:
[59] manejo,líquidos [59] líquidos,preeclampsia [59] preeclampsia,repercusiones [59] repercusiones,nivel [59] nivel,renal [59] renal,cardiovascular [59] cardiovascular,comunmente [59] comunmente,desarrollo [58] lesliemegom,manejo [58] desarrollo,ed Top Word Pairs in Tweet in G5:
[35] prog,25 [34] preeclampsia,gastro [33] jmdmns,prog [33] 25,17 [33] 17,approved [33] approved,patents [33] patents,more [33] more,coming [33] coming,preeclampsia [33] gastro,alone Top Word Pairs in Tweet in G6:
[69] ajog_thegray,ajog [42] expert,review [41] ajog,expert [36] preeclampsia,placenta [26] ajog,presents [26] presents,expert [26] expert,series [26] series,preeclampsia [26] placenta,preeclampsia [26] preeclampsia,villain Top Word Pairs in Tweet in G7:
[32] pacientes,preeclampsia [25] recordatorio,dominical [25] dominical,pacientes [25] preeclampsia,curan [25] curan,carguitas' [25] carguitas',mamen [25] mamen,#vexus [25] #vexus,#pocusinobs [24] chbetoh,recordatorio [18] 140,90 Top Word Pairs in Tweet in G8:
[6] denutrients,mirrormandan [4] mirrormandan,wrote [4] wrote,really [4] really,comprehensive [4] comprehensive,webpage [4] webpage,preeclampsia [4] preeclampsia,reducing [4] reducing,risk [4] risk,worse [4] worse,risk Top Word Pairs in Tweet in G9:
[24] science,rescue [21] future,innovator [21] innovator,prize [19] ai,technology [19] technology,addressing [18] rescue,ai [18] addressing,preeclampsia [16] funded,under [16] under,sfi [16] sfi,future Top Word Pairs in Tweet in G10:
[26] big,news [26] news,lab [26] lab,hiring [26] hiring,postdoc [26] postdoc,level [26] level,please [26] please,see [26] see,more [26] more,details [26] details,reach 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 Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: