The graph represents a network of 10,609 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, 16 September 2021 at 07:24 UTC.
The requested start date was Thursday, 16 September 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, 3-minute period from Monday, 13 September 2021 at 12:14 UTC to Wednesday, 15 September 2021 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 : 10609
Unique Edges : 5393
Edges With Duplicates : 12576
Total Edges : 17969
Number of Edge Types : 5
Retweet : 5505
MentionsInRetweet : 6324
Tweet : 3411
Replies to : 443
Mentions : 2286
Self-Loops : 3448
Reciprocated Vertex Pair Ratio : 0.0059580552907531
Reciprocated Edge Ratio : 0.0118455342335939
Connected Components : 3119
Single-Vertex Connected Components : 1083
Maximum Vertices in a Connected Component : 1724
Maximum Edges in a Connected Component : 3981
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 8.9738
Graph Density : 7.50131472936195E-05
Modularity : 0.540641
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10,609 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, 16 September 2021 at 07:24 UTC.
The requested start date was Thursday, 16 September 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, 3-minute period from Monday, 13 September 2021 at 12:14 UTC to Wednesday, 15 September 2021 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:
[6649] covid,19 [429] 19,vaccine [354] contra,covid [235] died,covid [182] 19,vaccines [159] 19,cases [157] against,covid [145] 19,pandemic [144] 19,vaccination [119] radio,host Top Word Pairs in Tweet in G1:
[1017] covid,19 [54] contra,covid [47] 19,vaccine [37] 19,cases [30] one,help [30] help,innocent [30] innocent,civilians [30] civilians,sac [30] sac,terrorists [30] terrorists,covid Top Word Pairs in Tweet in G2:
[137] covid,19 [90] california,recall [90] recall,largely [90] largely,referendum [90] referendum,gavin [90] gavin,newsom [90] newsom,president [90] president,biden [90] biden,aggressive [90] aggressive,actions Top Word Pairs in Tweet in G3:
[9] covid,19 [7] grants4usa,peterrdev [7] peterrdev,robertjensen [6] montanaorganic,paulcaw05364381 [6] paulcaw05364381,sports_graphs [6] sports_graphs,libertycat2 [6] libertycat2,cannabis420weed [6] cannabis420weed,grants4usa [4] vanillavegan,centerinventor1 [4] centerinventor1,veganxlawyer Top Word Pairs in Tweet in G4:
[163] covid,19 [64] cnn,analysis [64] analysis,johns [64] johns,hopkins [64] hopkins,university [62] died,covid [52] 500,residents [52] residents,died [48] one,500 [47] breaking,one Top Word Pairs in Tweet in G5:
[83] covid,19 [31] conservative,radio [30] radio,host [28] wish,cousin's [28] cousin's,friend [28] friend,well [28] well,related [28] related,vaccine [28] vaccine,maybe [28] maybe,related Top Word Pairs in Tweet in G6:
[112] よく見るcovid,19ワクチンデマに関して厚労省がまとめを作ってくれたので [112] 19ワクチンデマに関して厚労省がまとめを作ってくれたので,変なデマにはこれを貼り付けるだけでいい気がしてきた [111] sukunabikona7,よく見るcovid [15] 接種日,22 [9] シンガポールではcovid,19のワクチン接種率が国民の約8割と極めて高く [9] 19のワクチン接種率が国民の約8割と極めて高く,社会活動の制限が緩和されました [9] 社会活動の制限が緩和されました,しかしこの2週間で新規陽性者数が再び増加に転じています [9] しかしこの2週間で新規陽性者数が再び増加に転じています,日本でも同様のことが懸念され [9] 日本でも同様のことが懸念され,ウイズコロナ時代の行動緩和には慎重さが必要です [9] 東京都のcovid,19新規感染者数が減少に転じています Top Word Pairs in Tweet in G7:
[117] covid,19 [27] 19,vaccine [18] 19,vaccination [17] trump,dems [17] dems,'disparaged' [17] 'disparaged',covid [17] vaccine,president [17] president,'now [17] 'now,wonder [17] wonder,why' Top Word Pairs in Tweet in G8:
[126] covid,19 [62] september,2021 [52] setiap,pelancong [52] pelancong,yang [43] yang,akan [42] ke,langkawi [35] 16,september [26] akan,bercuti [26] bercuti,ke [26] langkawi,bermula Top Word Pairs in Tweet in G9:
[89] covid,19 [43] #covid_19,estadísticas [43] estadísticas,generales [43] generales,coronavirus [43] coronavirus,#venezuela [43] #venezuela,total [43] total,contagios [39] contra,covid [34] contagios,348 [34] 348,873 Top Word Pairs in Tweet in G10:
[115] covid,19 [76] worst,thing [76] thing,covid [76] 19,cruelty [76] cruelty,brought [76] brought,many [76] many,people [76] people,once [76] once,thought [75] nototyrannynow,worst Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G7:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G10: