The graph represents a network of 4,950 Twitter users whose tweets in the requested range contained "meded", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 30 March 2020 at 06:43 UTC.
The requested start date was Monday, 30 March 2020 at 00:01 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 2-day, 1-hour, 27-minute period from Friday, 27 March 2020 at 12:43 UTC to Sunday, 29 March 2020 at 14:10 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 : 4950
Unique Edges : 7184
Edges With Duplicates : 1874
Total Edges : 9058
Number of Edge Types : 4
MentionsInRetweet : 6303
Tweet : 596
Mentions : 1950
Replies to : 209
Self-Loops : 596
Reciprocated Vertex Pair Ratio : 0.0335644937586685
Reciprocated Edge Ratio : 0.0649490069779925
Connected Components : 266
Single-Vertex Connected Components : 82
Maximum Vertices in a Connected Component : 3350
Maximum Edges in a Connected Component : 6523
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.950498
Graph Density : 0.00030419368467459
Modularity : 0.732641
NodeXL Version : 1.0.1.428
Data Import : The graph represents a network of 4,950 Twitter users whose tweets in the requested range contained "meded", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 30 March 2020 at 06:43 UTC.
The requested start date was Monday, 30 March 2020 at 00:01 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 2-day, 1-hour, 27-minute period from Friday, 27 March 2020 at 12:43 UTC to Sunday, 29 March 2020 at 14:10 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 : meded
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:
[868] covid,19 [775] #meded,#foamed [648] atrupar,utterly [648] utterly,disgusted [648] disgusted,dr [648] dr,birx [648] birx,another [648] another,trump [648] trump,hack [648] hack,whose Top Word Pairs in Tweet in G1:
[665] #meded,#foamed [606] pathogenesis,covid [606] covid,19 [606] 19,sars [606] sars,cov [606] cov,virus [606] virus,#meded [606] #foamed,#covid19 [606] #covid19,#sarscov2 [605] manualomedicine,pathogenesis Top Word Pairs in Tweet in G2:
[648] atrupar,utterly [648] utterly,disgusted [648] disgusted,dr [648] dr,birx [648] birx,another [648] another,trump [648] trump,hack [648] hack,whose [648] whose,sole [648] sole,goal Top Word Pairs in Tweet in G3:
[56] covid,19 [45] #meded,#foamed [39] #meded,#covid19 [31] over,200 [31] 200,people [31] people,joined [31] joined,live [31] live,yesterday [31] yesterday,free [31] free,webinar Top Word Pairs in Tweet in G4:
[67] covid,19 [45] ready,share [44] lessons,learned [43] spread,word [43] word,meded_journal [43] meded_journal,ready [43] share,lessons [43] learned,adapting [43] adapting,education [43] education,practice Top Word Pairs in Tweet in G5:
[246] created,cheat [246] cheat,sheets [246] sheets,non [246] non,icu [246] icu,clinicians [246] clinicians,find [246] find,themselves [246] themselves,taking [246] taking,care [246] care,critically Top Word Pairs in Tweet in G6:
[89] #jacccasereports,read [89] read,save [89] save,life [89] life,#cardiotwitter [89] #cardiotwitter,reacquainting [89] reacquainting,cardiology [89] cardiology,#mechanical [88] nadeenfaza,#jacccasereports [88] #mechanical,#venti [30] covid,19 Top Word Pairs in Tweet in G7:
[101] four,traits [101] traits,admire [101] admire,doctor [101] doctor,humility [101] humility,keep [101] keep,asking [101] asking,compassion [101] compassion,one [101] one,cares [101] cares,much Top Word Pairs in Tweet in G8:
[47] five,lessons [47] lessons,learned [47] learned,during [47] during,situ [47] situ,simulation [47] simulation,vgh [47] vgh,simulation [47] simulation,improved [47] improved,preparation [47] preparation,response Top Word Pairs in Tweet in G9:
[34] researchers,ucalgarymed [34] #medstudents,#residents [34] #residents,around [34] around,world [29] ucalgarymed,recruiting [29] recruiting,#medstudents [29] world,complete [29] complete,voluntary [29] voluntary,anonymous [28] allison_rants,researchers Top Word Pairs in Tweet in G10:
[25] #virtual,#nephrology [25] #nephrology,elective [25] elective,try [25] try,case [25] case,42 [25] 42,#kidneypath [25] #kidneypath,tutorial [24] neph_sim,#virtual [19] lessons,learned [19] learned,during Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
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: