The graph represents a network of 10,491 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 Friday, 11 June 2021 at 07:20 UTC.
The requested start date was Friday, 11 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 2-day, 0-hour, 3-minute period from Tuesday, 08 June 2021 at 12:17 UTC to Thursday, 10 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 : 10491
Unique Edges : 5534
Edges With Duplicates : 12480
Total Edges : 18014
Number of Edge Types : 5
Tweet : 3528
Retweet : 5541
MentionsInRetweet : 6443
Replies to : 364
Mentions : 2138
Self-Loops : 3592
Reciprocated Vertex Pair Ratio : 0.00554617795997106
Reciprocated Edge Ratio : 0.011031175059952
Connected Components : 3215
Single-Vertex Connected Components : 1096
Maximum Vertices in a Connected Component : 764
Maximum Edges in a Connected Component : 1697
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 7.522162
Graph Density : 7.57833283765221E-05
Modularity : 0.537759
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 10,491 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 Friday, 11 June 2021 at 07:20 UTC.
The requested start date was Friday, 11 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 2-day, 0-hour, 3-minute period from Tuesday, 08 June 2021 at 12:17 UTC to Thursday, 10 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:
[6742] covid,19 [411] contra,covid [364] 19,vaccine [186] 19,vaccines [184] 19,pandemic [147] against,covid [133] 19,survival [133] 19,vaccination [131] increase,covid [124] न,क Top Word Pairs in Tweet in G1:
[981] covid,19 [80] contra,covid [63] 19,vaccine [32] 19,pandemic [18] 000,people [17] aid,organisation [17] 236,000 [17] assistance,amid [16] read,more [16] 19,vaccines Top Word Pairs in Tweet in G2:
[136] covid,19 [98] increase,covid [93] hydroxychloroquine,zinc [93] zinc,increase [91] survival,rates [86] another,one [86] one,bites [86] bites,dust [86] dust,hydroxychloroquine [86] 19,survival Top Word Pairs in Tweet in G3:
[89] covid,19 [15] pmoindia,narendramodi [13] urging,pmoindia [13] narendramodi,aiims_newdelhi [13] aiims_newdelhi,mohfw_india [13] due,covid [11] here's,india [11] india,fighting [11] fighting,back [11] back,#covid19 Top Word Pairs in Tweet in G4:
[105] donné,raison [105] raison,antibiotiques [105] antibiotiques,anticoagulants [105] anticoagulants,dépistage [105] dépistage,systématique [105] systématique,surveillance [104] raoult_didier,donné [104] surveillance,satur [17] pendant,qu [17] qu,martelé Top Word Pairs in Tweet in G5:
[179] covid,19 [59] rupanya,ramai [59] ramai,xthu [59] xthu,yang [59] yang,selepas [59] selepas,positive [59] positive,covid [59] 19,guys [59] guys,xboleh [59] xboleh,ambil Top Word Pairs in Tweet in G6:
[103] covid,19 [77] travelgov,uses [77] uses,tiered [77] tiered,approach [77] approach,prioritize [77] prioritize,#dv2021 [77] #dv2021,end [73] dasimmigration,travelgov [73] end,list [70] travelgov,travelgov Top Word Pairs in Tweet in G7:
[102] covid,19 [30] cpi,circo [24] study,hydroxychloroquine [24] hydroxychloroquine,boost [24] boost,covid [24] 19,survival [24] survival,chances [24] chances,nearly [24] nearly,200 [23] 200,#oann Top Word Pairs in Tweet in G8:
[105] covid,19 [18] actor,model [18] model,aisha [18] aisha,sultana [18] sultana,claims [18] claims,govt [18] govt,india [18] india,deployed [18] deployed,covid [18] 19,bioweapon Top Word Pairs in Tweet in G9:
[102] covid,19 [59] doses,vacina [59] vacina,covid [42] mais,936 [42] 936,mil [42] mil,doses [42] 19,pfizer [35] lote,total [33] pousaram,final [33] final,noite Top Word Pairs in Tweet in G10:
[150] covid,19 [25] jun,2021 [20] vaksin,covid [14] penggunaan,katil [14] kes,covid [13] 104,peratus [13] 19,adalah [13] kes,baharu [13] duduk,rumah [12] 19,penggunaan Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: