The graph represents a network of 9,649 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, 15 April 2022 at 07:19 UTC.
The requested start date was Friday, 15 April 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 2-day, 0-hour, 11-minute period from Tuesday, 12 April 2022 at 12:06 UTC to Thursday, 14 April 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 : 9649
Unique Edges : 5103
Edges With Duplicates : 11201
Total Edges : 16304
Number of Edge Types : 5
Retweet : 5027
MentionsInRetweet : 5715
Tweet : 3220
Mentions : 1838
Replies to : 504
Self-Loops : 3321
Reciprocated Vertex Pair Ratio : 0.00615302300695559
Reciprocated Edge Ratio : 0.0122307896835948
Connected Components : 3066
Single-Vertex Connected Components : 1298
Maximum Vertices in a Connected Component : 389
Maximum Edges in a Connected Component : 855
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 5.261983
Graph Density : 8.08004403999968E-05
Modularity : 0.538181
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,649 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, 15 April 2022 at 07:19 UTC.
The requested start date was Friday, 15 April 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 2-day, 0-hour, 11-minute period from Tuesday, 12 April 2022 at 12:06 UTC to Thursday, 14 April 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:
[6088] covid,19 [287] contra,covid [209] positive,covid [202] 19,vaccine [198] tested,positive [172] 19,pandemic [159] 19,cases [151] jeonghan,tested [147] #covid19,#covid_19 [133] last,year Top Word Pairs in Tweet in G1:
[1220] covid,19 [54] 19,vaccine [50] 19,pandemic [49] contra,covid [36] 19,cases [33] 19,booster [24] 19,vaccination [22] #covid,19 [21] pandemia,covid [19] medidas,bioseguridad Top Word Pairs in Tweet in G2:
[178] covid,19 [82] verity_france,covid [82] camp,quarantaine [80] 19,peut [80] peut,même [80] même,voir [80] voir,s'il [80] s'il,fait [80] fait,jour [80] jour,nuit Top Word Pairs in Tweet in G3:
[117] jack,dorsey [117] dorsey,sold [117] sold,1st [117] 1st,tweet [117] tweet,nft [117] nft,last [117] last,year [117] year,bought [117] bought,million [117] million,converted Top Word Pairs in Tweet in G4:
[133] covid,19 [68] airlines,dropped [68] dropped,mask [68] mask,requirements [68] requirements,suffering [68] suffering,staff [68] staff,shortages [68] shortages,due [68] due,covid [44] jonlemire,airlines Top Word Pairs in Tweet in G5:
[86] covid,19 [29] wave,covid [27] ottawa's,largest [27] largest,school [27] school,board [23] sixth,wave [19] students,staff [19] staff,wear [18] gosh,someone [18] someone,told Top Word Pairs in Tweet in G6:
[46] covid,19 [12] contra,covid [12] flood,victims [12] sign,petition [11] relief,funds [9] lembra,falta [9] falta,chefia [9] chefia,efetiva [9] efetiva,programa [9] programa,nacional Top Word Pairs in Tweet in G7:
[104] seventeen,jeonghan [104] jeonghan,tested [104] tested,positive [104] positive,covid [104] covid,19 [104] 19,mild [104] mild,cough [104] cough,sore [104] sore,throat [104] throat,undergoing Top Word Pairs in Tweet in G8:
[141] covid,19 [62] contra,covid [46] nuevos,contagios [46] medidas,bioseguridad [41] cumplir,medidas [38] #13abr,#cz43capital [38] #cz43capital,invita [38] invita,cumplir [38] bioseguridad,combatir [38] combatir,covid Top Word Pairs in Tweet in G9:
[94] covid,19 [92] jeonghanszone,covid Top Word Pairs in Tweet in G10:
[37] covid,19 [24] last,week [23] citynews,learned [23] learned,ontario [23] ontario,top [23] top,doctor [23] doctor,vacation [23] vacation,caribbean [23] caribbean,last [23] week,growing Top Replied-To in Entire Graph:
Top Replied-To in G3:
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Top Replied-To in G6:
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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:
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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: