The graph represents a network of 2,073 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 Wednesday, 18 December 2019 at 21:50 UTC.
The requested start date was Wednesday, 18 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 29-minute period from Wednesday, 04 December 2019 at 01:25 UTC to Wednesday, 18 December 2019 at 00:55 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 : 2073
Unique Edges : 2276
Edges With Duplicates : 396
Total Edges : 2672
Number of Edge Types : 3
Mentions : 2013
Tweet : 368
Replies to : 291
Self-Loops : 368
Reciprocated Vertex Pair Ratio : 0.02284626368396
Reciprocated Edge Ratio : 0.0446719404374128
Connected Components : 418
Single-Vertex Connected Components : 188
Maximum Vertices in a Connected Component : 720
Maximum Edges in a Connected Component : 1145
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.64273
Graph Density : 0.00050031942217181
Modularity : 0.801458
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 2,073 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 Wednesday, 18 December 2019 at 21:50 UTC.
The requested start date was Wednesday, 18 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 29-minute period from Wednesday, 04 December 2019 at 01:25 UTC to Wednesday, 18 December 2019 at 00:55 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:
[130] life,threatening [126] gave,birth [121] threatening,preeclampsia [121] preeclampsia,gave [119] one,migrant [119] migrant,mother [119] mother,denied [119] denied,medication [119] medication,life [119] birth,prematurely Top Word Pairs in Tweet in G1:
[21] blood,pressure [9] high,blood [7] kim,kardashian [6] during,pregnancy [6] progenity,geisinger [6] geisinger,publish [6] publish,first [6] first,study [6] need,know [6] know,serious Top Word Pairs in Tweet in G2:
[25] women,#preeclampsia [19] popular,2019 [19] 2019,state [19] state,art [19] art,reviews [19] reviews,bmj_latest [19] bmj_latest,include [19] include,excellent [19] excellent,#obmedicine [19] #obmedicine,reviews Top Word Pairs in Tweet in G3:
[119] one,migrant [119] migrant,mother [119] mother,denied [119] denied,medication [119] medication,life [119] life,threatening [119] threatening,preeclampsia [119] preeclampsia,gave [119] gave,birth [119] birth,prematurely Top Word Pairs in Tweet in G4:
[9] preeclampsia,foundation [9] strikeback,50155 [7] text,strikeback [7] honor,included [7] included,national [7] national,coalition [7] coalition,optimal [7] optimal,equitable [7] equitable,maternal [7] maternal,health Top Word Pairs in Tweet in G5:
[90] thank,andrewyang [90] andrewyang,speaking [90] speaking,means [90] means,much [90] much,especially [90] especially,being [90] being,mother [90] mother,former [90] former,preemie [89] chef4yang2020,thank Top Word Pairs in Tweet in G6:
[12] uninsured,texans [12] texans,being [12] being,forced [12] forced,go [12] go,without [12] without,care [12] care,ectopic [12] ectopic,pregnancies [12] pregnancies,preeclampsia [12] preeclampsia,high Top Word Pairs in Tweet in G7:
[69] studies,ve [69] ve,found [69] found,swallowing [69] swallowing,load [69] load,oral [69] oral,sex [69] sex,correlates [69] correlates,diminished [68] preshi__,swallow [41] swallow,pregnantðÿ Top Word Pairs in Tweet in G8:
[63] medicial,professionals [63] professionals,rest [63] rest,peace [63] peace,sweet [63] sweet,denim [63] denim,babies [63] babies,minority [63] minority,women [62] _moriahajohnson,medicial [2] heart,breaking Top Word Pairs in Tweet in G9:
[3] ladyfey12,prayingmrs [3] unite_and_fight,warlikefire [3] warlikefire,mrsutherland117 [3] mrsutherland117,albany__rose [3] sequoia_red,sierradeciduous [3] sierradeciduous,prochoiceforal1 [3] prochoiceforal1,mdidaskalos [3] mdidaskalos,lauraklassen14 [3] lauraklassen14,really [3] really,beneficial Top Replied-To in Entire Graph:
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Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: