The graph represents a network of 2,170 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 Thursday, 19 August 2021 at 21:41 UTC.
The requested start date was Tuesday, 17 August 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, 13-minute period from Tuesday, 03 August 2021 at 00:38 UTC to Monday, 16 August 2021 at 22:51 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 : 2170
Unique Edges : 1042
Edges With Duplicates : 3197
Total Edges : 4239
Number of Edge Types : 5
Replies to : 244
Retweet : 1308
MentionsInRetweet : 1567
Tweet : 355
Mentions : 765
Self-Loops : 361
Reciprocated Vertex Pair Ratio : 0.0285171102661597
Reciprocated Edge Ratio : 0.055452865064695
Connected Components : 415
Single-Vertex Connected Components : 192
Maximum Vertices in a Connected Component : 977
Maximum Edges in a Connected Component : 2476
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.64299
Graph Density : 0.000459767184435903
Modularity : 0.496113
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,170 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 Thursday, 19 August 2021 at 21:41 UTC.
The requested start date was Tuesday, 17 August 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, 13-minute period from Tuesday, 03 August 2021 at 00:38 UTC to Monday, 16 August 2021 at 22:51 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:
[598] allyson,felix [583] 2018,allyson [583] felix,suffered [583] suffered,life [580] see,track [580] track,hope [580] hope,understand [580] understand,fight [579] fight,2018 [301] bleacherreport,see Top Word Pairs in Tweet in G1:
[578] allyson,felix [577] see,track [577] track,hope [577] hope,understand [577] understand,fight [577] fight,2018 [577] 2018,allyson [577] felix,suffered [577] suffered,life [300] bleacherreport,see Top Word Pairs in Tweet in G2:
[15] blood,pressure [10] high,blood [8] postpartum,preeclampsia [8] pregnant,women [7] covid,19 [7] severe,preeclampsia [6] during,pregnancy [6] risk,pregnancy [5] preterm,birth [5] high,risk Top Word Pairs in Tweet in G3:
[24] experienced,#preeclampsia [23] mari_br_montrea,hyperaha [21] high,impact [18] andreas52051619,mari_br_montrea [17] chat,high [17] impact,author [17] author,andreas52051619 [13] sharing,perspective [13] perspective,save [13] save,lives Top Word Pairs in Tweet in G4:
[78] ajog_thegray,ajog [65] expert,review [64] ajog,expert [52] review,preeclampsia [33] preeclampsia,eclampsia [32] eclampsia,21st [32] 21st,century [32] century,emergency [32] emergency,treatment [32] treatment,algorithm Top Word Pairs in Tweet in G5:
[5] never,heard [5] heard,gestational [4] stephfeminist,observerx01 [4] observerx01,vixmcintyre [4] vixmcintyre,urhuckleberry [4] urhuckleberry,sapienwoman [4] sapienwoman,adorablepodcast [4] adorablepodcast,patriot_1776us [4] janekn0wsbest,jennraes23 [4] jennraes23,pennyaxa Top Word Pairs in Tweet in G6:
[27] develop,preeclampsia [26] preeclampsia,millions [26] millions,afro [26] afro,indigenous [26] indigenous,birthing [26] birthing,persons [26] persons,develop [26] preeclampsia,each [26] each,year [26] year,times Top Word Pairs in Tweet in G7:
[2] covid,19 Top Word Pairs in Tweet in G8:
[3] dadliest_dad,bobdolan111 [3] bobdolan111,americanism37 [3] americanism37,coop1318 [3] prochoiceforal1,fight4women [3] fight4women,054durin [3] 054durin,lok52 [3] lok52,slim_mirokujin [3] slim_mirokujin,atriana [3] atriana,chronic_chels [3] chronic_chels,candysmith74 Top Word Pairs in Tweet in G9:
[14] second,third [14] third,trimester [11] seen,figo's [11] figo's,latest [11] latest,news [11] check,july [11] july,newsletter [11] newsletter,featuring [11] featuring,supplement [11] supplement,preventing Top Word Pairs in Tweet in G10:
[45] acaban,jjoo [45] jjoo,quiero [45] quiero,recordar [45] recordar,deportista [45] deportista,laureada [45] laureada,historia [45] historia,atletismo [45] atletismo,estadounidense [44] helenavillarrt,acaban Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
Top Replied-To in G7:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
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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: