The graph represents a network of 9,714 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 Thursday, 23 June 2022 at 07:21 UTC.
The requested start date was Thursday, 23 June 2022 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, 13-minute period from Monday, 20 June 2022 at 12:03 UTC to Wednesday, 22 June 2022 at 12:17 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 : 9714
Unique Edges : 4915
Edges With Duplicates : 12155
Total Edges : 17070
Number of Edge Types : 5
Retweet : 5439
MentionsInRetweet : 6276
Tweet : 2725
Replies to : 479
Mentions : 2151
Self-Loops : 2764
Reciprocated Vertex Pair Ratio : 0.00645004259462091
Reciprocated Edge Ratio : 0.0128174123337364
Connected Components : 2631
Single-Vertex Connected Components : 1081
Maximum Vertices in a Connected Component : 1106
Maximum Edges in a Connected Component : 2282
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.70822
Graph Density : 8.76504240786123E-05
Modularity : 0.5435
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,714 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 Thursday, 23 June 2022 at 07:21 UTC.
The requested start date was Thursday, 23 June 2022 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, 13-minute period from Monday, 20 June 2022 at 12:03 UTC to Wednesday, 22 June 2022 at 12:17 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:
[6319] covid,19 [289] contra,covid [249] 19,vaccine [228] 19,vaccines [194] 19,pandemic [168] sa,covid [167] dahil,sa [166] 10,billion [165] 19,15 [164] salamat,sa Top Word Pairs in Tweet in G1:
[1009] covid,19 [49] 19,pandemic [44] contra,covid [39] 19,vaccine [34] 19,vaccines [26] 19,cases [22] #covid,19 [19] casos,covid [19] children,under [17] positive,covid Top Word Pairs in Tweet in G2:
[353] covid,19 [93] 19,venezuela [93] contra,covid [86] métodos,preventivos [85] uso,adecuado [85] adecuado,mascarilla [73] mascarilla,indica [73] indica,métodos [70] #prevención,uso [67] preventivos,efectivos Top Word Pairs in Tweet in G3:
[91] covid,19 [47] universitaires,chercheurs [47] chercheurs,professionnels [47] professionnels,santé [47] santé,professionnels [47] professionnels,droit [47] droit,demandent [47] demandent,opecst [47] opecst,rendre [46] chriscottonstat,universitaires Top Word Pairs in Tweet in G4:
[167] covid,19 [164] salamat,sa [164] sa,13 [164] 13,trillion [164] trillion,utang [164] utang,higit [164] higit,69 [164] 69,000 [164] 000,namatay [164] namatay,dahil Top Word Pairs in Tweet in G5:
[168] covid,19 [151] 19,millionaires [151] millionaires,let's [151] let's,appreciate [150] logacrimz,covid [13] 19,cs [13] cs,kagwe [13] kagwe,reinstates [13] reinstates,mandatory [13] mandatory,mask Top Word Pairs in Tweet in G6:
[161] paulo,henrique [161] henrique,costa [161] costa,28 [161] 28,anos [161] anos,morto [161] morto,em [161] em,brasília [161] brasília,dia [161] dia,14 [161] 14,causa Top Word Pairs in Tweet in G7:
[157] ในท,ส [157] ส,ด [157] ด,ก [157] ก,ต [157] ต,นแล [157] นแล,ว [157] ว,ส [157] ส,นน [157] นน,ษฐาน [157] ษฐาน,covid Top Word Pairs in Tweet in G8:
[110] covid,19 [32] fois,plus [31] moderna,dit [31] dit,nouvelle [31] nouvelle,version [31] version,vaccin [31] vaccin,covid [31] 19,sera [31] sera,fois [31] plus,forte Top Word Pairs in Tweet in G9:
[91] covid,19 [57] over,remember [57] remember,wasn [57] wasn,ceos [57] ceos,billionaires [57] billionaires,saved [57] saved,during [57] during,covid [57] 19,janitors [56] mhdksafa,over Top Word Pairs in Tweet in G10:
[81] repeat,inflation [81] inflation,worldwide [81] worldwide,problem [81] problem,inflation [81] inflation,nowhere [81] nowhere,near [81] near,worst [81] worst,world [81] world,gop [81] gop,likes Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G6:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: