The graph represents a network of 3,135 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, 10 November 2020 at 22:34 UTC.
The requested start date was Tuesday, 10 November 2020 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, 32-minute period from Tuesday, 27 October 2020 at 01:17 UTC to Tuesday, 10 November 2020 at 00:50 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 : 3135
Unique Edges : 1343
Edges With Duplicates : 4403
Total Edges : 5746
Number of Edge Types : 5
Replies to : 304
Tweet : 563
Retweet : 2006
MentionsInRetweet : 2286
Mentions : 587
Self-Loops : 573
Reciprocated Vertex Pair Ratio : 0.0183391003460208
Reciprocated Edge Ratio : 0.036017669045192
Connected Components : 613
Single-Vertex Connected Components : 308
Maximum Vertices in a Connected Component : 586
Maximum Edges in a Connected Component : 1437
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.361595
Graph Density : 0.000299539240861916
Modularity : 0.526731
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 3,135 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, 10 November 2020 at 22:34 UTC.
The requested start date was Tuesday, 10 November 2020 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, 32-minute period from Tuesday, 27 October 2020 at 01:17 UTC to Tuesday, 10 November 2020 at 00:50 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:
[544] chaniece,wallace [434] dr,chaniece [286] amigos,solicito [286] solicito,apoyo [286] apoyo,ver [286] ver,alguien [286] alguien,regala [286] regala,poco [286] poco,sangre [286] sangre,mujer Top Word Pairs in Tweet in G1:
[26] blood,pressure [20] ø,ø [17] ø,ù [16] black,women [16] ù,ø [14] high,blood [13] online,aðÿ [13] aðÿ,tus [13] tus,tiempos [13] tiempos,ritmo Top Word Pairs in Tweet in G2:
[145] preeclampsia,criterios [145] criterios,severidad [145] severidad,cefalea [145] cefalea,persistente [145] persistente,inusual [145] inusual,alteraciones [145] alteraciones,visuales [145] visuales,epigastralgia [144] doctorjoseefren,preeclampsia [142] epigastralgia,hipocon Top Word Pairs in Tweet in G3:
[286] amigos,solicito [286] solicito,apoyo [286] apoyo,ver [286] ver,alguien [286] alguien,regala [286] regala,poco [286] poco,sangre [286] sangre,mujer [286] mujer,acaba [286] acaba,tener Top Word Pairs in Tweet in G4:
[218] dr,chaniece [218] chaniece,wallace [218] wallace,name [218] name,dr [218] dr,wallace [218] wallace,gave [218] gave,birth [218] birth,daughter [218] daughter,charlotte [218] charlotte,died Top Word Pairs in Tweet in G5:
[115] dr,chaniece [115] chaniece,wallace [115] wallace,30 [115] 30,died [115] died,oct [115] oct,22 [115] 22,two [115] two,days [115] days,husband [115] husband,anthony Top Word Pairs in Tweet in G6:
[113] chaniece,wallace [111] woman,named [111] named,chaniece [111] wallace,passed [111] passed,away [111] away,complications [111] complications,preeclampsia [111] preeclampsia,chief [111] chief,medical [111] medical,resident Top Word Pairs in Tweet in G7:
[25] make,#preeclampsia [18] historic,disorder [14] #preeclampsia,historic [13] thank,good [13] good,wishes [13] wishes,phone [13] phone,calls [13] calls,need [13] need,deliver [13] deliver,vision Top Word Pairs in Tweet in G8:
[19] ajog_thegray,impact [19] impact,definitions [19] definitions,#preeclampsia [19] #preeclampsia,term [19] term,identification [19] identification,adverse [19] adverse,#maternal [19] #maternal,#perinatal [19] #perinatal,outcomes [10] preeclampsia,foundation Top Word Pairs in Tweet in G9:
[62] dr,chaniece [62] chaniece,wallace [58] drlindaobgyn,dr [56] wallace,sorority [56] sorority,sister [56] sister,deltanational [56] deltanational,everything [56] everything,live [56] live,worked [44] worked,physi Top Word Pairs in Tweet in G10:
[78] black,women [77] women,develop [77] develop,preeclampsia [77] preeclampsia,rate [77] rate,60 [77] 60,higher [77] higher,white [77] white,women [77] women,according [77] according,2017 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G9:
Top Tweeters in G10: