The graph represents a network of 10,452 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, 15 September 2021 at 07:23 UTC.
The requested start date was Wednesday, 15 September 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, 5-minute period from Sunday, 12 September 2021 at 12:12 UTC to Tuesday, 14 September 2021 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 : 10452
Unique Edges : 5347
Edges With Duplicates : 12224
Total Edges : 17571
Number of Edge Types : 5
Retweet : 5512
MentionsInRetweet : 6237
Mentions : 1978
Tweet : 3375
Replies to : 469
Self-Loops : 3411
Reciprocated Vertex Pair Ratio : 0.00510328068043742
Reciprocated Edge Ratio : 0.0101547388781431
Connected Components : 3093
Single-Vertex Connected Components : 1069
Maximum Vertices in a Connected Component : 1777
Maximum Edges in a Connected Component : 4076
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 9.97601
Graph Density : 7.572744024444E-05
Modularity : 0.543696
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10,452 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, 15 September 2021 at 07:23 UTC.
The requested start date was Wednesday, 15 September 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, 5-minute period from Sunday, 12 September 2021 at 12:12 UTC to Tuesday, 14 September 2021 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:
[6625] covid,19 [433] 19,vaccine [333] contra,covid [201] よく見るcovid,19ワクチンデマに関して厚労省がまとめを作ってくれたので [201] 19ワクチンデマに関して厚労省がまとめを作ってくれたので,変なデマにはこれを貼り付けるだけでいい気がしてきた [200] sukunabikona7,よく見るcovid [191] 19,vaccines [165] against,covid [160] 19,pandemic [157] 19,cases Top Word Pairs in Tweet in G1:
[959] covid,19 [61] 19,vaccine [51] contra,covid [34] 19,cases [30] 19,pandemic [18] against,covid [17] 19,patients [17] 19,vaccines [14] #covid,19 [14] 19,vaccination Top Word Pairs in Tweet in G2:
[135] covid,19 [42] estadísticas,generales [42] total,contagios [39] #covid_19,estadísticas [39] generales,coronavirus [39] coronavirus,#venezuela [39] #venezuela,total [36] contra,covid [34] contagios,348 [34] 348,873 Top Word Pairs in Tweet in G3:
[201] よく見るcovid,19ワクチンデマに関して厚労省がまとめを作ってくれたので [201] 19ワクチンデマに関して厚労省がまとめを作ってくれたので,変なデマにはこれを貼り付けるだけでいい気がしてきた [200] sukunabikona7,よく見るcovid [7] 東京都のcovid,19新規感染者数が減少に転じています [7] 19新規感染者数が減少に転じています,救急の現場では [7] 救急の現場では,先週末頃から急速に陽性患者の搬送依頼数が減少しています [7] 先週末頃から急速に陽性患者の搬送依頼数が減少しています,しかし [7] しかし,一旦重症化した患者さんは容易には回復せず [7] 一旦重症化した患者さんは容易には回復せず,重症用ベッドは埋まったままです [7] 重症用ベッドは埋まったままです,重症病床の逼迫状況が改善するには Top Word Pairs in Tweet in G4:
[122] covid,19 [21] die,covid [14] nicki,minaj [14] one,israel [14] israel,top [14] top,anti [14] anti,vaxx [14] vaxx,activists [14] activists,reportedly [14] reportedly,died Top Word Pairs in Tweet in G5:
[84] covid,19 [33] open,letter [33] letter,dr [33] dr,bonnie [33] bonnie,henry [33] henry,adrian [33] adrian,dix [33] dix,premier [33] premier,john [33] john,horgan Top Word Pairs in Tweet in G6:
[178] covid,19 [33] 19,vaccine [20] against,covid [17] trump,dems [17] dems,'disparaged' [17] 'disparaged',covid [17] vaccine,president [17] president,'now [17] 'now,wonder [17] wonder,why' Top Word Pairs in Tweet in G7:
[116] covid,19 [51] 19,vaccines [46] vaccines,safe [46] safe,free [46] free,save [46] save,life [46] life,#somethingnew [45] nikkifried,covid [35] bob,enyart [27] wish,cousin's Top Word Pairs in Tweet in G8:
[148] covid,19 [67] being,obese [67] obese,makes [67] makes,health [67] health,problem [67] problem,worse [67] worse,includes [67] includes,covid [67] 19,controversial [67] controversial,days Top Word Pairs in Tweet in G9:
[106] covid,19 [61] 19,vaccine [34] vaccine,mandate [30] alwebbj,breaking [24] according,cdc [24] cdc,6207 [24] 6207,reports [24] reports,death [24] death,people [24] people,received Top Word Pairs in Tweet in G10:
[123] covid,19 [33] september,2021 [27] kes,covid [19] pesakit,covid [17] 14,september [16] jumlah,kes [15] 13,september [15] 19,malaysia [14] varian,delta [14] 19,sarawak Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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