The graph represents a network of 12,374 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 14 May 2021 at 07:58 UTC.
The requested start date was Friday, 14 May 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 2-day, 0-hour, 1-minute period from Tuesday, 11 May 2021 at 12:21 UTC to Thursday, 13 May 2021 at 12:22 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 : 12374
Unique Edges : 7325
Edges With Duplicates : 12016
Total Edges : 19341
Number of Edge Types : 5
Tweet : 3579
Retweet : 5504
MentionsInRetweet : 6497
Replies to : 805
Mentions : 2956
Self-Loops : 3609
Reciprocated Vertex Pair Ratio : 0.00604716790969563
Reciprocated Edge Ratio : 0.0120216389501102
Connected Components : 3617
Single-Vertex Connected Components : 942
Maximum Vertices in a Connected Component : 2246
Maximum Edges in a Connected Component : 4555
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 8.071876
Graph Density : 6.51977248698074E-05
Modularity : 0.585205
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 12,374 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 14 May 2021 at 07:58 UTC.
The requested start date was Friday, 14 May 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 2-day, 0-hour, 1-minute period from Tuesday, 11 May 2021 at 12:21 UTC to Thursday, 13 May 2021 at 12:22 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 : COVID
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:
[2662] covid,19 [250] contra,covid [192] 19,vaccine [185] cpi,covid [122] due,covid [117] against,covid [110] covid,care [109] covid,vaccine [91] क,र [91] covid,cases Top Word Pairs in Tweet in G1:
[330] covid,19 [86] san,antonio [47] 12,05 [46] 05,2021 [45] available,appointments [45] appointments,detected [45] detected,provider [45] provider,walgreens [45] walgreens,location [45] location,walgreens Top Word Pairs in Tweet in G2:
[121] covid,19 [26] 12,16 [26] 16,weeks [21] gap,between [20] between,doses [20] doses,#covishieldvaccine [20] #covishieldvaccine,increased [20] increased,12 [20] weeks,weeks [20] weeks,currently Top Word Pairs in Tweet in G3:
[63] contra,covid [58] vacinas,contra [54] covid,em [53] milhões,doses [47] brasil,países [47] países,mais [47] mais,distribuem [47] distribuem,vacinas [47] em,mundo [47] mundo,são Top Word Pairs in Tweet in G4:
[22] rss,worker [22] covid,19 [16] amit,jaiswal [11] pm,modi [10] jaiswal,rss [9] uttar,pradesh [8] funeral,service [8] service,worker [8] worker,bengaluru [8] bengaluru,buried Top Word Pairs in Tweet in G5:
[19] srivatsayb,modi [18] modi,shah [17] shah,anyone [17] anyone,seen [17] seen,lately [17] lately,india's [17] india's,pm [17] pm,hm [17] hm,vanished [17] vanished,during Top Word Pairs in Tweet in G6:
[59] fingers,tremble [59] tremble,type [59] type,today [59] today,covid [59] covid,become [59] become,personal [59] personal,tragedy [59] tragedy,lost [59] lost,both [59] both,parents Top Word Pairs in Tweet in G7:
[41] covid,19 [15] news,good [15] good,bad [15] bad,mixed [15] mixed,national [15] national,covid [15] 19,test [15] test,positivity [15] positivity,rate [15] rate,15 Top Word Pairs in Tweet in G8:
[17] क,स [13] hospital,name [11] #covidsupportdelhi,12 [11] 12,day [11] day,old [11] old,baby [11] baby,critical [11] critical,requirement [11] requirement,ecmo [11] ecmo,bed Top Word Pairs in Tweet in G9:
[2] laperlaneranera,eretico_l [2] eretico_l,donatellabucci [2] donatellabucci,anna302478978 [2] anna302478978,ilbuonpaztore [2] ilbuonpaztore,armidmar [2] armidmar,th3p3ck [2] th3p3ck,gabriel05470893 [2] gabriel05470893,biif [2] messaggio,rivolto [2] rivolto,ai Top Word Pairs in Tweet in G10:
[32] covid,19 [12] 19,vaccine [11] smt,sonia [11] sonia,gandhi [9] congress,president [8] president,smt [8] letter,congress [6] 12,15 [6] president,jpnadda [5] cm,himantabiswa 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 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: