The graph represents a network of 3,731 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, 05 October 2021 at 21:44 UTC.
The requested start date was Tuesday, 05 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, 22-hour, 41-minute period from Tuesday, 21 September 2021 at 00:23 UTC to Monday, 04 October 2021 at 23:04 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 : 3731
Unique Edges : 2842
Edges With Duplicates : 5865
Total Edges : 8707
Number of Edge Types : 5
Retweet : 2727
MentionsInRetweet : 4636
Tweet : 537
Replies to : 267
Mentions : 540
Self-Loops : 551
Reciprocated Vertex Pair Ratio : 0.0065359477124183
Reciprocated Edge Ratio : 0.012987012987013
Connected Components : 521
Single-Vertex Connected Components : 250
Maximum Vertices in a Connected Component : 1677
Maximum Edges in a Connected Component : 5026
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 2.210687
Graph Density : 0.000376240512250451
Modularity : 0.468113
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,731 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, 05 October 2021 at 21:44 UTC.
The requested start date was Tuesday, 05 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, 22-hour, 41-minute period from Tuesday, 21 September 2021 at 00:23 UTC to Monday, 04 October 2021 at 23:04 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:
[1676] myblackcanary,เคยถามคนไข [1676] เคยถามคนไข,preeclampsia [1676] preeclampsia,ว [1676] ว,าม [1676] าม,ปวดห [1676] ปวดห,วตาม [1676] วตาม,วป [1676] วป,กล [1676] กล,นจ [1676] นจ,ม Top Word Pairs in Tweet in G1:
[1676] myblackcanary,เคยถามคนไข [1676] เคยถามคนไข,preeclampsia [1676] preeclampsia,ว [1676] ว,าม [1676] าม,ปวดห [1676] ปวดห,วตาม [1676] วตาม,วป [1676] วป,กล [1676] กล,นจ [1676] นจ,ม Top Word Pairs in Tweet in G2:
[24] diabetes,drug [23] drug,help [22] help,women [22] women,preeclampsia [21] risk,preeclampsia [21] preeclampsia,prolong [21] low,dose [21] dose,aspirin [20] covid,19 [20] prolong,pregnancy Top Word Pairs in Tweet in G3:
[84] ajog,expert [84] expert,review [77] ajog_thegray,ajog [61] review,preeclampsia [38] preeclampsia,preeclampsia [38] preeclampsia,phenotypes [38] phenotypes,require [38] require,different [38] different,treatment [38] treatment,strategies Top Word Pairs in Tweet in G4:
[101] pregnant,women [101] women,aged [101] aged,30 [101] 30,history [101] history,hypertension [101] hypertension,pregnancy [101] pregnancy,multiple [101] multiple,pregnancies [101] pregnancies,preeclampsia [101] preeclampsia,risk Top Word Pairs in Tweet in G5:
[29] prevent,preeclampsia [29] preeclampsia,jama_current [29] jama_current,part [29] part,jamanetwork [26] aspirin,use [24] use,prevent [22] uspstf,recommendation [21] recommendation,aspirin [16] covid,19 [15] increases,risk Top Word Pairs in Tweet in G6:
[6] pregnancy,terminated [3] gestational,diabetes [3] oh,honey [3] honey,months [3] months,pregnancy [3] terminated,birth [3] birth,pregnancy [3] terminated,37 [3] 37,weeks [2] judge_iron,herterus Top Word Pairs in Tweet in G7:
[55] fisiopatología,preeclampsia [52] #obstetricia,modelo [52] modelo,etapas [52] etapas,fisiopatología [51] medclubpage,#obstetricia [6] shanmugalingam,hennessy [6] hennessy,makris [6] makris,2018 [6] 2018,aspirin [6] aspirin,prevention Top Word Pairs in Tweet in G8:
[57] sperm,cell [57] cell,plays [57] plays,big [57] big,role [57] role,development [57] development,placenta [57] placenta,placenta [57] placenta,responsible [57] responsible,exchanging [57] exchanging,nutrients Top Word Pairs in Tweet in G9:
[48] pray,please [48] please,pray [48] pray,sister [48] sister,incredibly [48] incredibly,rough [48] rough,pregnancy [48] pregnancy,hospital [48] hospital,preeclampsia [47] cassondrajw,pray Top Word Pairs in Tweet in G10:
[8] task,force [8] low,dose [8] diabetes,drug [8] drug,help [7] 12,weeks [7] risk,preeclampsia [7] women,preeclampsia [7] pregnant,women [7] dose,aspirin [7] aspirin,guards Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
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 G7:
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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 G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: