The graph represents a network of 2,247 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, 08 December 2020 at 22:01 UTC.
The requested start date was Tuesday, 08 December 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, 44-minute period from Tuesday, 24 November 2020 at 01:02 UTC to Tuesday, 08 December 2020 at 00:47 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 : 2247
Unique Edges : 1356
Edges With Duplicates : 3216
Total Edges : 4572
Number of Edge Types : 5
Replies to : 335
Tweet : 365
Mentions : 861
Retweet : 1343
MentionsInRetweet : 1668
Self-Loops : 370
Reciprocated Vertex Pair Ratio : 0.0326686465846415
Reciprocated Edge Ratio : 0.0632703368940016
Connected Components : 442
Single-Vertex Connected Components : 196
Maximum Vertices in a Connected Component : 505
Maximum Edges in a Connected Component : 1512
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.880125
Graph Density : 0.000482289436276171
Modularity : 0.526197
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,247 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, 08 December 2020 at 22:01 UTC.
The requested start date was Tuesday, 08 December 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, 44-minute period from Tuesday, 24 November 2020 at 01:02 UTC to Tuesday, 08 December 2020 at 00:47 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:
[216] #حملة_التوعية_بأعراض_تسمم_الحمل,#preeclampsia_awareness_campaign [216] #preeclampsia_awareness_campaign,#مجموعة_د_سليمان_الحبيب_الطبية [212] طرق,الوقاية [212] الوقاية,#حملة_التوعية_بأعراض_تسمم_الحمل [211] preeclampsia,primero [211] inmune,contra [211] contra,citotrofoblastos [211] citotrofoblastos,placenta [211] placenta,segundo [208] fisiopatología,preeclampsia Top Word Pairs in Tweet in G1:
[202] preeclampsia,primero [202] inmune,contra [202] contra,citotrofoblastos [202] citotrofoblastos,placenta [202] placenta,segundo [200] fisiopatología,preeclampsia [200] primero,reacción [200] reacción,inmune [199] doctorjoseefren,fisiopatología [199] segundo,implant Top Word Pairs in Tweet in G2:
[151] go,time [149] official,preeclampsia [149] preeclampsia,means [149] means,go [149] time,gotta [149] gotta,bet [149] bet,head [149] head,game [149] game,scared [149] scared,shit Top Word Pairs in Tweet in G3:
[15] blood,pressure [6] pre,eclampsia [6] high,risk [5] severe,preeclampsia [5] during,pregnancy [5] mujeres,embarazadas [4] preeclampsia,diabetes [4] risk,preeclampsia [4] pregnancy,preeclampsia [4] diagnosed,preeclampsia Top Word Pairs in Tweet in G4:
[209] طرق,الوقاية [209] الوقاية,#حملة_التوعية_بأعراض_تسمم_الحمل [209] #حملة_التوعية_بأعراض_تسمم_الحمل,#preeclampsia_awareness_campaign [209] #preeclampsia_awareness_campaign,#مجموعة_د_سليمان_الحبيب_الطبية [145] khdamatcom10,طرق [77] ø,ø [62] khdamatcom7,طرق [55] ø,ù [55] ù,ø [55] _ø,ù Top Word Pairs in Tweet in G5:
[11] maternal,health [11] blood,pressure [11] maternal,mortality [10] preeclampsia,surgeon_general [10] hhsgov,surgeon_general [10] surgeon_general,hhsgov [10] kimsmithceo,preeclampsia [8] more,die [8] action,plan [7] board,chair Top Word Pairs in Tweet in G6:
[17] preeclampsia,gestational [15] detailed,obstetrical [15] obstetrical,history [15] history,part [15] part,cardiovascular [15] cardiovascular,assessment [15] assessment,women [15] women,preeclampsia [14] cpachecomd,detailed [14] gestational,diabe Top Word Pairs in Tweet in G7:
[46] mis,futuros [46] futuros,r1 [46] r1,temas [46] temas,deben [46] deben,manejar [46] manejar,r1 [46] r1,bã [46] bã,sico [46] sico,aun [46] aun,vayan Top Word Pairs in Tweet in G9:
[28] mari_br_montrea,hyperaha [27] #hyphip,hyperaha [26] lahtimarius,mari_br_montrea [18] hyperaha,a6 [15] monday,dec [10] nakagawapablo,hyperaha [10] 10,00 [9] differences,between [9] mental,disorders [8] core,outcome Top Word Pairs in Tweet in G10:
[8] justifiablewtf,aeciogeneral [8] ls_4563,laraccoltaa [8] shanoawarrior,fmesstm3 [8] fmesstm3,liamdan008 [8] liamdan008,stupidrock [8] stupidrock,shamar_ezer [8] shamar_ezer,vixmcintyre [8] vixmcintyre,youngmelton42 [8] youngmelton42,thenativeangel [7] maestra_momma,justifiablewtf Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
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:
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: