The graph represents a network of 1,946 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, 26 October 2021 at 21:41 UTC.
The requested start date was Tuesday, 26 October 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, 23-hour, 52-minute period from Tuesday, 12 October 2021 at 00:08 UTC to Tuesday, 26 October 2021 at 00:01 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 : 1946
Unique Edges : 1355
Edges With Duplicates : 2145
Total Edges : 3500
Number of Edge Types : 5
Tweet : 441
Retweet : 908
MentionsInRetweet : 1246
Replies to : 286
Mentions : 619
Self-Loops : 451
Reciprocated Vertex Pair Ratio : 0.0429876410531972
Reciprocated Edge Ratio : 0.0824317362184441
Connected Components : 501
Single-Vertex Connected Components : 234
Maximum Vertices in a Connected Component : 534
Maximum Edges in a Connected Component : 1557
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.707595
Graph Density : 0.000512817803047316
Modularity : 0.555161
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,946 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, 26 October 2021 at 21:41 UTC.
The requested start date was Tuesday, 26 October 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, 23-hour, 52-minute period from Tuesday, 12 October 2021 at 00:08 UTC to Tuesday, 26 October 2021 at 00:01 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] expert,review [127] review,preeclampsia [121] ajog,expert [108] ajog_thegray,ajog [100] blood,pressure [99] criterios,gravedad [98] lt,100 [96] gravedad,preeclampsia [95] preeclampsia,ta [95] ta,160 Top Word Pairs in Tweet in G1:
[22] blood,pressure [14] during,pregnancy [13] high,blood [10] click,gt [9] high,risk [9] prevent,preeclampsia [9] gt,#pregnancyandinfantlossremembranceday [9] #pregnancyandinfantlossremembranceday,#waveoflight [9] #waveoflight,#babylossawarenessweek [9] #babylossawarenessweek,#preeclampsia Top Word Pairs in Tweet in G2:
[41] blood,pressure [38] high,blood [15] cathycluver,stellenboschuni [14] #preeclampsia,high [14] next,week [13] learn,more [13] know,symptoms [13] symptoms,#preeclampsia [13] pressure,swelling [13] swelling,face Top Word Pairs in Tweet in G3:
[93] criterios,gravedad [93] gravedad,preeclampsia [93] preeclampsia,ta [93] ta,160 [93] 160,110 [93] 110,mmhg [93] mmhg,tomas [93] tomas,separadas [93] separadas,min [93] min,4h Top Word Pairs in Tweet in G4:
[118] expert,review [115] review,preeclampsia [113] ajog,expert [100] ajog_thegray,ajog [24] prevention,preeclampsia [18] preeclampsia,screening [17] preeclampsia,pravastatin [17] pravastatin,proton [17] proton,pump [17] pump,inhibitors Top Word Pairs in Tweet in G5:
[5] xboxershorts,happyheathen01 [5] virginia_house,sueurlucille [5] sueurlucille,lucy80506 [5] lucy80506,prolife_sam [4] preeclampsia,placenta [4] placenta,previa [4] happyheathen01,smashli1228 [4] smashli1228,virginia_house [3] previa,etc [3] severe,preeclampsia Top Word Pairs in Tweet in G6:
[33] impact,hypertensive [33] hypertensive,disorders [33] disorders,pregnancy [33] pregnancy,lessons [33] lessons,conception [33] conception,ehj [33] ehj,#pregnancy [32] ehj_ed,impact [32] #pregnancy,#hypertensio [19] escardio,esc_journals Top Word Pairs in Tweet in G7:
[2] princesspbbaby2,joe__312 [2] joe__312,silverstang59 [2] silverstang59,winniethesock [2] winniethesock,minnesotaexpat [2] minnesotaexpat,angel_13_rising [2] angel_13_rising,devinnunesmulet Top Word Pairs in Tweet in G8:
[36] uspstf,doubles [36] doubles,down [36] down,aspirin [36] aspirin,#preeclampsia [36] #preeclampsia,prevention [36] prevention,risk [36] risk,pregnant [36] pregnant,patients [36] patients,receive [36] receive,prophylaxis Top Word Pairs in Tweet in G9:
[6] ambientsynthy,preeclampsia [3] severe,preeclampsia [3] ambientsynthy,probably [3] giving,birth [3] ambientsynthy,died [2] preeclampsia,29 [2] ambientsynthy,age [2] preeclampsia,hellp [2] hellp,syndrome [2] emergency,section Top Word Pairs in Tweet in G10:
[9] research,maternal [9] maternal,levels [9] levels,perfluoroalkyl [9] perfluoroalkyl,substances [9] substances,pfas [9] pfas,during [9] during,early [9] early,pregnancy [9] pregnancy,relation [9] relation,preeclampsia Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: