The graph represents a network of 10,822 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 06 March 2021 at 08:21 UTC.
The requested start date was Saturday, 06 March 2021 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 2-day, 23-hour, 46-minute period from Tuesday, 02 March 2021 at 13:42 UTC to Friday, 05 March 2021 at 13:28 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 : 10822
Unique Edges : 5978
Edges With Duplicates : 11912
Total Edges : 17890
Number of Edge Types : 5
Retweet : 5335
MentionsInRetweet : 6189
Tweet : 3675
Mentions : 2271
Replies to : 420
Self-Loops : 3716
Reciprocated Vertex Pair Ratio : 0.00632684732004297
Reciprocated Edge Ratio : 0.0125741399762752
Connected Components : 3545
Single-Vertex Connected Components : 1195
Maximum Vertices in a Connected Component : 387
Maximum Edges in a Connected Component : 1194
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.647652
Graph Density : 7.19867634530836E-05
Modularity : 0.551395
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 10,822 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 06 March 2021 at 08:21 UTC.
The requested start date was Saturday, 06 March 2021 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 2-day, 23-hour, 46-minute period from Tuesday, 02 March 2021 at 13:42 UTC to Friday, 05 March 2021 at 13:28 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-19
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:
[7107] covid,19 [665] contra,covid [650] àª,ઠ[602] 19,vaccine [367] î,î [263] ãƒ,ム[249] 19,vaccines [214] 19,pandemic [193] during,covid [162] 19,vaccination Top Word Pairs in Tweet in G1:
[1076] covid,19 [204] î,î [83] contra,covid [83] 19,vaccine [30] 19,vaccination [29] 19,vaccines [27] ãƒ,ム[26] 19,pandemic [20] îºî,î [19] republican,leadership Top Word Pairs in Tweet in G2:
[438] covid,19 [198] contra,covid [76] garantiza,protecciã [76] protecciã,pueblo [76] pueblo,contra [73] venezuela,garantiza [69] 500,mil [66] etiqueta,dã [60] dã,#vacunaesperanzayvida [59] ªâ,etiqueta Top Word Pairs in Tweet in G3:
[235] covid,19 [114] young,people [114] during,covid [77] bts_twt's,messages [77] messages,solidarity [77] solidarity,given [77] given,hope [77] hope,children [77] children,young [77] people,around Top Word Pairs in Tweet in G4:
[97] covid,19 [18] 19,relief [18] relief,bill [17] 19,vaccines [17] prevent,covid [13] according,abcnews [13] abcnews,analysis [13] analysis,pharmacy [13] pharmacy,locations [13] locations,country Top Word Pairs in Tweet in G5:
[25] worriedâ,nycâ [25] nycâ,native [25] native,variant [25] variant,concerning [25] concerning,fauciâ [25] fauciâ,potential [25] potential,trouble [25] trouble,735 [25] 735,cases [25] cases,#b1526 Top Word Pairs in Tweet in G6:
[65] biggest,threat [65] threat,america [65] america,isnâ [65] isnâ,china [65] china,russia [65] russia,covid [65] covid,19 [65] 19,itâ [65] itâ,racists [65] racists,stop Top Word Pairs in Tweet in G7:
[70] covid,19 [19] flying,blind [19] blind,fauci [19] fauci,warned [19] warned,march [19] march,2020 [19] 2020,potential [19] potential,false [19] false,positives [19] positives,covid Top Word Pairs in Tweet in G8:
[61] covid,19 [9] 19,relief [8] 19,vaccine [7] johnson,johnson [7] gartmartin9,gregabbott_tx [7] gregabbott_tx,context [7] context,australia [7] australia,same [7] same,population [7] population,texas Top Word Pairs in Tweet in G9:
[650] àª,ઠ[63] covid,19 [33] àª,વઠ[33] વàª,ઠ[28] स,व [28] ओर,स [22] 19,vaccine [14] first,dose [14] dose,covid [14] 19,स Top Word Pairs in Tweet in G10:
[19] covid,19 [11] candidatos,vacunales [11] vacunales,avanzan [11] avanzan,agilidad [11] agilidad,rigor [11] rigor,cientã [11] cientã,fico [11] fico,acercando [11] acercando,momento [11] momento,vacunaciã Top Replied-To in Entire Graph:
Top Replied-To in G1:
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: