The graph represents a network of 3,010 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 September 2021 at 21:42 UTC.
The requested start date was Tuesday, 14 September 2021 at 00:01 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, 57-minute period from Tuesday, 31 August 2021 at 00:54 UTC to Monday, 13 September 2021 at 23:51 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 : 3010
Unique Edges : 1304
Edges With Duplicates : 3923
Total Edges : 5227
Number of Edge Types : 5
Retweet : 1813
MentionsInRetweet : 2004
Tweet : 459
Mentions : 607
Replies to : 344
Self-Loops : 464
Reciprocated Vertex Pair Ratio : 0.0149525893508388
Reciprocated Edge Ratio : 0.0294646065397054
Connected Components : 559
Single-Vertex Connected Components : 240
Maximum Vertices in a Connected Component : 1040
Maximum Edges in a Connected Component : 2383
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.510341
Graph Density : 0.000307273086609496
Modularity : 0.541217
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 3,010 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 September 2021 at 21:42 UTC.
The requested start date was Tuesday, 14 September 2021 at 00:01 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, 57-minute period from Tuesday, 31 August 2021 at 00:54 UTC to Monday, 13 September 2021 at 23:51 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:
[271] preeclampsia,lancet [271] lancet,2021 [271] 2021,doi [235] gestacional,preeclampsia [222] metildopa,labetalol [221] manejo,antihipertensivo [221] antihipertensivo,embarazo [221] embarazo,gestacional [221] preeclampsia,metildopa [221] labetalol,nifedipino Top Word Pairs in Tweet in G1:
[245] preeclampsia,lancet [245] lancet,2021 [245] 2021,doi [176] fisiopatologã,preeclampsia [175] ambrizmau,fisiopatologã [69] ambrizmau,fisiopatología [69] fisiopatología,preeclampsia [7] diabetes,gestacional [7] gestacional,preeclampsia [6] salud,embarazo Top Word Pairs in Tweet in G2:
[24] major,driver [21] driver,preeclampsia [16] enzyme,major [13] blood,pressure [13] high,blood [12] covid,19 [9] severe,preeclampsia [9] gestational,diabetes [7] high,risk [7] postpartum,preeclampsia Top Word Pairs in Tweet in G3:
[217] การต,งครรภ [217] งครรภ,คร [217] คร,งน [217] งน,งม [217] งม,ความเส [217] ความเส,ยงเยอะมากเลยนะร [217] ยงเยอะมากเลยนะร,ไหม [217] ไหม,หน [217] หน,งในน [217] งในน,นค Top Word Pairs in Tweet in G4:
[213] metildopa,labetalol [212] manejo,antihipertensivo [212] antihipertensivo,embarazo [212] embarazo,gestacional [212] gestacional,preeclampsia [212] preeclampsia,metildopa [212] labetalol,nifedipino [212] nifedipino,hidralazina [211] doctorjoseefren,manejo [113] hidralazina,urge Top Word Pairs in Tweet in G5:
[54] expert,review [53] ajog,expert [53] review,preeclampsia [44] ajog_thegray,ajog [19] preeclampsia,integrated [19] integrated,model [19] model,preeclampsia [19] preeclampsia,multifaceted [19] multifaceted,syndrome [19] syndrome,maternal Top Word Pairs in Tweet in G6:
[90] covid,19 [89] medical,basis [89] basis,claims [89] claims,covid [89] 19,vaccine [89] vaccine,causes [89] causes,early [89] early,births [89] births,miscarriages [89] miscarriages,makes Top Word Pairs in Tweet in G7:
[5] gestational,diabetes [5] diabetes,elevated [5] elevated,bp [5] bp,bone [5] bone,tooth [5] tooth,loss [4] mirandaisrisen,gestational [3] illmakelamb,sahbdeane [3] sahbdeane,happyheathen01 [3] happyheathen01,guy_justaguy2 Top Word Pairs in Tweet in G8:
[89] preeclampsia,serious [89] serious,pregnancy [89] pregnancy,complication [89] complication,characterized [89] characterized,high [89] high,blood [89] blood,pressure [89] pressure,threaten [89] threaten,lives [88] uhrainbowbabies,preeclampsia Top Word Pairs in Tweet in G9:
[73] cardiovascular,renal [73] renal,preeclampsia [73] preeclampsia,1er [73] 1er,causa [73] causa,muerte [73] muerte,edema [73] edema,agudo [71] repercusión,cardiovascular [71] agudo,pulmón [71] pulmón,casi Top Word Pairs in Tweet in G10:
[54] 2019,hyphenate [54] hyphenate,double [54] double,combinations [54] combinations,prefixes [54] prefixes,pre [54] pre,re [54] re,examples [54] examples,preeclampsia [54] preeclampsia,preelection [53] apstylebook,2019 Top Replied-To in Entire Graph:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
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:
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: