The graph represents a network of 11,057 Twitter users whose tweets in the requested range contained "COVID", 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 08:41 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, 4-minute period from Thursday, 08 September 2022 at 12:15 UTC to Sunday, 11 September 2022 at 12:19 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 : 11057
Unique Edges : 6241
Edges With Duplicates : 12047
Total Edges : 18288
Number of Edge Types : 5
Retweet : 5397
MentionsInRetweet : 6468
Tweet : 2487
Replies to : 1315
Mentions : 2621
Self-Loops : 2530
Reciprocated Vertex Pair Ratio : 0.00577379111248582
Reciprocated Edge Ratio : 0.0114812916453101
Connected Components : 2671
Single-Vertex Connected Components : 715
Maximum Vertices in a Connected Component : 2002
Maximum Edges in a Connected Component : 4185
Maximum Geodesic Distance (Diameter) : 47
Average Geodesic Distance : 15.668034
Graph Density : 7.97979866726646E-05
Modularity : 0.583666
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 11,057 Twitter users whose tweets in the requested range contained "COVID", 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 08:41 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, 4-minute period from Thursday, 08 September 2022 at 12:15 UTC to Sunday, 11 September 2022 at 12:19 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
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:
[1429] covid,19 [430] î,î [347] ãƒ,ム[308] long,covid [193] manuelrico,hoy [166] luto,oficial [162] rainha,elizabeth [160] contra,covid [157] gobierno,ayuso [157] trasladar,hospital Top Word Pairs in Tweet in G1:
[179] covid,19 [32] î,î [18] ãƒ,ム[13] æ,æ [13] democrats,seek [13] covid,bailout [13] bailout,funds [12] long,covid [11] 19,pandemic [11] during,covid Top Word Pairs in Tweet in G2:
[224] covid,19 [77] contra,covid [49] #prevenciã,nðÿ [42] llevar,covid [42] covid,casa [41] #11sep,buenos [38] control,covid [37] buenos,días [37] días,llevar [37] casa,cuida Top Word Pairs in Tweet in G3:
[193] manuelrico,hoy [157] gobierno,ayuso [157] trasladar,hospital [155] hospital,residentes [79] dã,gobierno [79] ayuso,aprobã [79] aprobã,protocolo [79] protocolo,impedã [79] impedã,trasladar [78] días,gobierno Top Word Pairs in Tweet in G4:
[44] long,covid [12] long,term [11] research,initiative [11] term,impacts [10] around,children [9] covid,19 [9] autumn,covid [9] latest,egregious [9] egregious,illustration [9] illustration,notion Top Word Pairs in Tweet in G5:
[18] long,covid [17] ontario,covid [15] last,year [15] 16,ontario [15] ontario,kids [15] kids,under [15] under,12 [15] 12,died [15] died,covid [15] covid,during Top Word Pairs in Tweet in G6:
[132] luto,oficial [130] caralho,dias [130] dias,luto [130] oficial,pela [130] pela,morte [130] morte,rainha [130] rainha,elizabeth [130] elizabeth,imagina [130] imagina,brasil [130] brasil,tivesse Top Word Pairs in Tweet in G7:
[3] covid,vaccine [2] dangerous,lies [2] kickback,kathy [2] kathy,hochul [2] hochul,awarded [2] awarded,top [2] top,campaign [2] campaign,donor [2] donor,bid [2] bid,covid Top Word Pairs in Tweet in G8:
[22] covid,19 [20] armes,biologiques [16] sans,doute [16] doute,royaume [16] royaume,uni [16] uni,savait [16] savait,déjà [16] déjà,cardiologue [16] cardiologue,pédiatrique [16] pédiatrique,dit Top Word Pairs in Tweet in G9:
[15] laissonslespre1,information [15] paris,neurologues [15] neurologues,reconnaissent [15] reconnaissent,lien [15] pitiã,salpãªtriã [15] salpãªtriã,re [15] re,paris [15] lien,causalitã [15] gouvernement,veut [15] veut,liste Top Word Pairs in Tweet in G10:
[18] long,covid [17] covid,deaths [17] first,days [16] emily_baum,nytimes [15] walkerbragman,reported [15] reported,4k [15] 4k,covid [15] deaths,first [15] days,month [11] much,world 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 G4:
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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:
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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:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: