The graph represents a network of 9,135 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 Monday, 12 September 2022 at 07:16 UTC.
The requested start date was Monday, 12 September 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 3-day, 0-hour, 18-minute period from Thursday, 08 September 2022 at 11:59 UTC to Sunday, 11 September 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 : 9135
Unique Edges : 4564
Edges With Duplicates : 12257
Total Edges : 16821
Number of Edge Types : 5
Replies to : 544
MentionsInRetweet : 6363
Mentions : 1883
Retweet : 5563
Tweet : 2468
Self-Loops : 2508
Reciprocated Vertex Pair Ratio : 0.00453042732949676
Reciprocated Edge Ratio : 0.00901999024865919
Connected Components : 2253
Single-Vertex Connected Components : 905
Maximum Vertices in a Connected Component : 1716
Maximum Edges in a Connected Component : 3425
Maximum Geodesic Distance (Diameter) : 32
Average Geodesic Distance : 11.369134
Graph Density : 9.8323219968003E-05
Modularity : 0.536694
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 9,135 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 Monday, 12 September 2022 at 07:16 UTC.
The requested start date was Monday, 12 September 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 3-day, 0-hour, 18-minute period from Thursday, 08 September 2022 at 11:59 UTC to Sunday, 11 September 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:
[5608] covid,19 [610] ãƒ,ム[428] contra,covid [392] î,î [208] #prevenciã,nðÿ [208] 19,vaccine [187] vtvcanal8,#prevenciã [186] control,covid [184] ç,ç [168] primera,controla Top Word Pairs in Tweet in G1:
[830] covid,19 [67] 19,pandemic [67] ø,ø [67] î,î [66] ø,ù [57] ù,ø [42] ãƒ,ム[32] ù,ù [27] during,covid [26] 19,cases Top Word Pairs in Tweet in G2:
[812] covid,19 [294] contra,covid [208] #prevenciã,nðÿ [187] vtvcanal8,#prevenciã [184] control,covid [168] primera,controla [168] controla,contagio [168] contagio,evita [144] nðÿ,control [144] 19,contenciã Top Word Pairs in Tweet in G3:
[124] covid,19 [51] royaume,uni [49] sans,doute [49] doute,royaume [49] uni,savait [49] savait,déjà [49] déjà,cardiologue [49] cardiologue,pédiatrique [49] pédiatrique,dit [49] dit,qu'il Top Word Pairs in Tweet in G4:
[104] covid,19 [17] study,346 [16] 346,previously [16] previously,healthy [16] healthy,covid [16] 19,survivors [16] survivors,finds [16] finds,73 [16] 73,cardiac [16] cardiac,signs Top Word Pairs in Tweet in G5:
[128] covid,19 [71] dias,luto [65] brasil,nã [65] nã,merece [65] merece,presidente [65] presidente,debocha [65] debocha,mais [65] mais,680 [65] 680,mil [65] mil,vidas Top Word Pairs in Tweet in G6:
[181] covid,19 [26] university,covid [26] 19,policy [26] policy,seems [26] seems,written [26] written,covid [26] 19,virus [26] virus,itself [26] itself,try [25] pestemagazine,university Top Word Pairs in Tweet in G7:
[112] international,medical [111] over,400 [111] 400,doctors [111] doctors,scientists [111] scientists,professionals [111] professionals,more [111] more,34 [111] 34,countries [111] countries,morning [111] morning,declared Top Word Pairs in Tweet in G8:
[80] covid,19 [40] analysis,two [40] two,german [40] german,university [40] university,professors [40] professors,government [40] government,data [40] data,implicates [40] implicates,covid [40] 19,vaccination Top Word Pairs in Tweet in G9:
[110] covid,19 [81] york,gov [81] gov,kathy [81] kathy,hochul's [81] hochul's,paid [81] paid,double [81] double,rapid [81] rapid,covid [81] 19,tests [81] tests,company Top Word Pairs in Tweet in G10:
[4] covid,19 [2] tierrahenson,doritmi [2] doritmi,shared_facts [2] shared_facts,david_haddaway [2] david_haddaway,lizagirl63 [2] lizagirl63,moy_barry [2] moy_barry,bebert701 [2] bebert701,bottomleyfiona [2] bottomleyfiona,andylumm [2] doritmi,barryjohnreid21 Top Replied-To in Entire Graph:
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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: