The graph represents a network of 10,501 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 Wednesday, 23 June 2021 at 07:53 UTC.
The requested start date was Tuesday, 22 June 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 3-day, 0-hour, 3-minute period from Friday, 18 June 2021 at 12:17 UTC to Monday, 21 June 2021 at 12:20 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 : 10501
Unique Edges : 5637
Edges With Duplicates : 12838
Total Edges : 18475
Number of Edge Types : 5
Tweet : 3451
Retweet : 5668
MentionsInRetweet : 6617
Replies to : 366
Mentions : 2373
Self-Loops : 3499
Reciprocated Vertex Pair Ratio : 0.00563347896068062
Reciprocated Edge Ratio : 0.011203841317023
Connected Components : 2977
Single-Vertex Connected Components : 1013
Maximum Vertices in a Connected Component : 1673
Maximum Edges in a Connected Component : 4065
Maximum Geodesic Distance (Diameter) : 32
Average Geodesic Distance : 9.836409
Graph Density : 7.93303132128006E-05
Modularity : 0.541855
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 10,501 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 Wednesday, 23 June 2021 at 07:53 UTC.
The requested start date was Tuesday, 22 June 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 3-day, 0-hour, 3-minute period from Friday, 18 June 2021 at 12:17 UTC to Monday, 21 June 2021 at 12:20 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:
[6737] covid,19 [455] contra,covid [373] 19,vaccine [239] against,covid [198] 19,pandemic [181] 500,mil [140] fight,against [138] 19,vaccines [137] sars,cov [122] due,covid Top Word Pairs in Tweet in G1:
[874] covid,19 [53] contra,covid [46] 19,vaccine [20] 19,vaccination [19] 19,cases [18] 19,pandemic [12] от,covid [12] 500,mil [11] against,covid [11] casos,covid Top Word Pairs in Tweet in G2:
[230] covid,19 [84] fight,against [84] against,covid [65] vaccinated,strengthen [65] strengthen,fight [64] narendramodi,vaccinated [32] due,covid [30] 19,pandemic [23] vaccine,doses [21] ट,क Top Word Pairs in Tweet in G3:
[171] covid,19 [47] mil,doses [47] milhões,doses [44] mais,936 [44] 936,mil [44] doses,vacina [44] vacina,covid [44] 19,pfizer [44] chegou,ao [44] ao,brasil Top Word Pairs in Tweet in G4:
[83] 報道が少なく情報が少ないですが,cnnには [83] cnnには,少しだけ知らなかったことが [83] 少しだけ知らなかったことが,sars [83] sars,cov [83] cov,2陽性者はコーチ [83] 2陽性者はコーチ,陽性者が不参加となるか帰国するかは決定していない [83] 陽性者が不参加となるか帰国するかは決定していない,ウガンダの五輪チームは全部で56人 [82] koichi_kawakami,報道が少なく情報が少ないですが [82] ウガンダの五輪チームは全部で56人,ウガンダは現在第二波の最 [52] covid,19のpcr検査を請け負うスウェーデンの民間企業が Top Word Pairs in Tweet in G5:
[175] covid,19 [64] kasus,covid [58] percaya,covid [40] tak,percaya [32] tahan,diri [32] diri,untuk [32] untuk,gak [32] gak,kemana [32] kemana,mana [32] mana,dulu Top Word Pairs in Tweet in G6:
[92] covid,19 [19] zhoushan,bat [17] chinese,communist [17] communist,party [16] skynews,#covid19 [15] sars,cov [15] cov,ccp [15] ccp,virus [15] virus,chinese [15] party,covid Top Word Pairs in Tweet in G7:
[104] covid,19 [31] 500,mil [31] 20,anos [31] despenca,em [30] em,ranking [27] investimento,brasil [27] brasil,retrocede [27] retrocede,20 [27] anos,despenca [26] ranking,global Top Word Pairs in Tweet in G8:
[72] covid,19 [26] morena,encontraron [26] encontraron,inconsistencias [26] inconsistencias,issste [26] issste,700 [26] 700,millones [26] millones,pesos [26] pesos,compra [26] compra,equipo [25] werareynoso,morena Top Word Pairs in Tweet in G9:
[137] covid,19 [38] 19,vaccine [28] man,hesitated [28] hesitated,covid [28] vaccine,due [28] due,concerns [28] concerns,spread [28] spread,social [28] social,media [28] media,vaccine Top Word Pairs in Tweet in G10:
[91] covid,19 [34] puan,maharani [19] pandemi,covid [13] kasus,covid [11] tenaga,kesehatan [11] protokol,kesehatan [10] saat,ini [10] menangani,pandemi [9] penanganan,covid [9] ledakan,kasus 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 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: