The graph represents a network of 2,642 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 March 2021 at 21:02 UTC.
The requested start date was Tuesday, 23 March 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, 09 March 2021 at 00:33 UTC to Monday, 22 March 2021 at 22:47 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 : 2642
Unique Edges : 1116
Edges With Duplicates : 4339
Total Edges : 5455
Number of Edge Types : 5
Retweet : 1839
MentionsInRetweet : 2060
Tweet : 514
Replies to : 255
Mentions : 787
Self-Loops : 521
Reciprocated Vertex Pair Ratio : 0.028125
Reciprocated Edge Ratio : 0.0547112462006079
Connected Components : 477
Single-Vertex Connected Components : 235
Maximum Vertices in a Connected Component : 791
Maximum Edges in a Connected Component : 2260
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.162734
Graph Density : 0.000377211279305175
Modularity : 0.481012
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 2,642 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 March 2021 at 21:02 UTC.
The requested start date was Tuesday, 23 March 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, 09 March 2021 at 00:33 UTC to Monday, 22 March 2021 at 22:47 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:
[388] low,birth [372] non,stick [372] stick,utensils [372] utensils,coated [372] coated,teflon [372] teflon,cause [372] cause,cancer [372] cancer,obesity [372] obesity,thyroid [372] thyroid,low Top Word Pairs in Tweet in G1:
[187] preeclampsia,co [187] co,morbilidad [186] pacientes,preeclampsia [186] morbilidad,debe [186] debe,mantener [186] mantener,presión [186] presión,diastólica [186] diastólica,80 [186] 80,mmhg [186] mmhg,sistólica Top Word Pairs in Tweet in G2:
[370] non,stick [370] stick,utensils [370] utensils,coated [370] coated,teflon [370] teflon,cause [370] cause,cancer [370] cancer,obesity [370] obesity,thyroid [370] thyroid,low [370] low,birth Top Word Pairs in Tweet in G3:
[17] blood,pressure [14] hospital,preeclampsia [12] preeclampsia,hemorragia [12] manuela,llegó [11] llegó,hospital [11] hemorragia,recibir [11] recibir,atención [11] atención,salud [11] salud,interrogada [11] interrogada,esposada Top Word Pairs in Tweet in G4:
[152] manuela,llegó [152] llegó,hospital [151] salud,interrogada [150] hospital,preeclampsia [150] preeclampsia,hemorragia [150] hemorragia,recibir [150] recibir,atención [149] atención,salud [144] prefirieron,procesarla [144] procesarla,examinar Top Word Pairs in Tweet in G5:
[125] ajog_thegray,ajog [104] expert,review [89] ajog,presents [76] imbalances,circulating [76] circulating,angiogenic [76] angiogenic,factors [58] ajog,expert [46] presents,8th [46] 8th,expert [46] review,preeclampsia Top Word Pairs in Tweet in G6:
[27] mysmfm,sogh_official [27] sogh_official,columbiawomens [27] columbiawomens,columbiaem [27] columbiaem,columbianeurons [27] columbianeurons,drklindley [22] preeclampsia,mysmfm [15] drklindley,drmarthagulati [14] preeclampsia,elizamillermd [14] during,pregnancy [13] great,talk Top Word Pairs in Tweet in G7:
[14] cowgirlwarrior,hedwiggraymalk [13] npwdbackup1,zipper_patriot [12] hedwiggraymalk,3timrice [12] 3timrice,redisblunt [12] redisblunt,npwdbackup1 [11] zipper_patriot,laurawhitt32 [10] postpartum,preeclampsia [5] vaginal,tears [5] autumn__fox,cowgirlwarrior [4] gestational,diabetes Top Word Pairs in Tweet in G8:
[37] afyaspace,preeclampsia [36] causes,maternal [35] preeclampsia,one [35] one,leading [35] leading,causes [35] maternal,deaths [35] deaths,pregnancy [35] pregnancy,complication [35] complication,pregnant [35] pregnant,woman Top Word Pairs in Tweet in G9:
[43] don,automatically [41] hate,medical [41] medical,system [41] system,treats [41] treats,plus [41] plus,sized [41] sized,pregnant [41] pregnant,women [41] women,don [41] automatically,need Top Word Pairs in Tweet in G10:
[16] preeclampsia,preterm [16] preterm,birth [12] risks,#covid19 [12] #covid19,pregnancy [12] pregnancy,preeclampsia [12] birth,still [12] still,birth [12] birth,diabetes [12] diabetes,low [12] low,birth Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G6:
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: