The graph represents a network of 10,571 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, 28 July 2021 at 07:27 UTC.
The requested start date was Wednesday, 28 July 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, 4-minute period from Sunday, 25 July 2021 at 12:16 UTC to Tuesday, 27 July 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 : 10571
Unique Edges : 5530
Edges With Duplicates : 12350
Total Edges : 17880
Number of Edge Types : 5
Retweet : 5572
MentionsInRetweet : 6430
Tweet : 3552
Mentions : 1894
Replies to : 432
Self-Loops : 3582
Reciprocated Vertex Pair Ratio : 0.00381952733349248
Reciprocated Edge Ratio : 0.00760998810939358
Connected Components : 3190
Single-Vertex Connected Components : 1070
Maximum Vertices in a Connected Component : 690
Maximum Edges in a Connected Component : 1825
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 5.988727
Graph Density : 7.52670570947614E-05
Modularity : 0.547056
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 10,571 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, 28 July 2021 at 07:27 UTC.
The requested start date was Wednesday, 28 July 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, 4-minute period from Sunday, 25 July 2021 at 12:16 UTC to Tuesday, 27 July 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:
[6646] covid,19 [321] contra,covid [264] 19,cases [238] 19,vaccine [175] 19,pandemic [128] hari,ini [127] positif,covid [120] 19,vaccines [119] better,late [119] late,never Top Word Pairs in Tweet in G1:
[958] covid,19 [56] 19,cases [44] #whatshappeninginmyanmar,#july27coup [37] #july25coup,#whatshappeninginmyanmar [32] 19,vaccine [32] 19,infection [30] contra,covid [29] during,covid [22] #icrc_savemyanmarprisoners,#july25coup [21] 450,corpses Top Word Pairs in Tweet in G2:
[239] covid,19 [84] positif,covid [82] assalamulaikum,abang [82] abang,dan [82] dan,sekeluarga [82] sekeluarga,telah [82] telah,disahkan [82] disahkan,positif [82] 19,mohon [82] mohon,doakan Top Word Pairs in Tweet in G3:
[152] covid,19 [49] spread,covid [46] dr,sasa [45] 19,delta [44] drsasa22222,dr [44] sasa,talks [44] talks,international [44] international,media [44] media,organization [44] organization,jazeera Top Word Pairs in Tweet in G4:
[123] covid,19 [82] ahli,parlimen [78] parlimen,permatang [78] permatang,pauh [78] pauh,n_izzah [78] n_izzah,bimbang [78] bimbang,jika [78] jika,pembukaaan [78] pembukaaan,sekatan [78] sekatan,dilakukan Top Word Pairs in Tweet in G5:
[107] covid,19 [50] contra,covid [23] lucha,contra [20] 19,venezuela [15] transmisión,comunitaria [12] jornada,trabajo [11] centros,vacunación [11] venezuela,registra [11] nuevos,casos [11] casos,transmisión Top Word Pairs in Tweet in G6:
[87] covid,19 [26] unvaccinated,people [26] people,account [26] account,virtually [26] virtually,covid [26] 19,deaths [26] deaths,right [26] right,vaccinated [26] vaccinated,urge [26] urge,family Top Word Pairs in Tweet in G7:
[39] covid,19 [10] age,relaxation [9] due,covid [9] last,24 [9] 24,hours [9] hours,india [9] india,administered [9] administered,66 [9] 66,lakh [9] lakh,#vaccine Top Word Pairs in Tweet in G8:
[107] ต,าง [106] ใครพ,ดว [106] ดว,าต [106] าต,มยำก [106] มยำก,งผ [106] งผ,านมาได [106] านมาได,โคว [106] โคว,ดก [106] ดก,ผ [106] ผ,านได Top Word Pairs in Tweet in G9:
[38] น,covid [34] covid,19 [30] ด,ด [30] น,งเฝ [28] ล,าส [28] าส,ดดญ [28] ดดญ,และ [28] และ,ขวบสองพ [28] ขวบสองพ,น [28] น,องท Top Word Pairs in Tweet in G10:
[119] better,late [119] late,never [105] covid,19 [87] lewat,10 [87] 10,bulan [87] bulan,dalam [87] dalam,isu [87] isu,covid [87] takpe,lah [87] lah,ada Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: