The graph represents a network of 11,534 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 Thursday, 24 March 2022 at 09:48 UTC.
The requested start date was Thursday, 24 March 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, 2-minute period from Monday, 21 March 2022 at 12:17 UTC to Wednesday, 23 March 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 : 11534
Unique Edges : 6687
Edges With Duplicates : 11258
Total Edges : 17945
Number of Edge Types : 5
Retweet : 5002
MentionsInRetweet : 5893
Replies to : 1243
Mentions : 2613
Tweet : 3194
Self-Loops : 3225
Reciprocated Vertex Pair Ratio : 0.00568927789934354
Reciprocated Edge Ratio : 0.0113141862489121
Connected Components : 3451
Single-Vertex Connected Components : 1092
Maximum Vertices in a Connected Component : 1625
Maximum Edges in a Connected Component : 3495
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 9.948352
Graph Density : 6.91015480175095E-05
Modularity : 0.581859
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 11,534 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 Thursday, 24 March 2022 at 09:48 UTC.
The requested start date was Thursday, 24 March 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, 2-minute period from Monday, 21 March 2022 at 12:17 UTC to Wednesday, 23 March 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:
[1933] covid,19 [204] long,covid [162] positive,covid [157] 19,vaccine [133] covid,cases [116] two,years [113] covid,vaccine [107] covid,deaths [105] manuelrico,hoy [102] días,gobierno Top Word Pairs in Tweet in G1:
[318] covid,19 [42] 19,vaccine [31] dose,covid [29] vaccine,works [25] contra,covid [25] kids,under [23] low,dose [19] moderna,low [18] moderna,covid [18] young,children Top Word Pairs in Tweet in G2:
[51] covid,19 [40] cost,living [29] long,covid [26] living,crisis [25] covid,cases [25] socialise,bit [25] bit,less [22] sajid,javid [17] climate,change [16] rishi,sunak Top Word Pairs in Tweet in G3:
[21] natural,immunity [20] pandemic,absurdities [20] absurdities,firing [20] firing,people [20] people,natural [20] immunity,covid [20] covid,recovery [19] covid,19 [19] martinkulldorff,pandemic [16] return,pre Top Word Pairs in Tweet in G4:
[45] covid,19 [18] covid,test [15] narendramodi,mr [15] mr,prime [15] prime,minister [15] minister,kindly [15] kindly,instruct [15] instruct,health [15] health,ministry [15] ministry,confirm Top Word Pairs in Tweet in G5:
[3] artyshouse,kathmarval [3] kathmarval,burgerlab12 [3] burgerlab12,thecrystalbrian [3] thecrystalbrian,chris_f_carson [3] chris_f_carson,f250roush [3] f250roush,swedishchf [3] swedishchf,moy_barry [3] moy_barry,paullombardi2 [2] frugalsues,artyshouse [2] paullombardi2,chr Top Word Pairs in Tweet in G6:
[105] manuelrico,hoy [102] días,gobierno [102] gobierno,ayuso [102] ayuso,aprobó [102] aprobó,protocolo [101] protocolo,impedía [101] impedía,trasladar [101] trasladar,hospital [101] hospital,residentes [92] residentes,vulnerab Top Word Pairs in Tweet in G7:
[22] covid,over [20] gaslit,friends [20] friends,family [20] family,covid [20] public,health [20] covid,deaths [19] over,physician [19] physician,working [19] working,public [18] risahoshinomd,gaslit Top Word Pairs in Tweet in G8:
[29] covid,over [26] living,covid [26] covid,mean [26] mean,getting [26] getting,reinfected [26] reinfected,covid [26] over,over [26] over,government [26] government,try [25] luckytran,living Top Word Pairs in Tweet in G9:
[16] honte,certains [16] certains,médecins [16] médecins,pharmaciens [16] pharmaciens,sont [16] sont,honte [16] honte,service [16] service,santé [16] santé,ma [16] ma,soeur [16] soeur,63 Top Word Pairs in Tweet in G10:
[15] letter,school [15] school,warning [15] warning,extremely [15] extremely,high [15] high,incidence [15] incidence,covid [15] covid,school [15] school,asking [15] asking,assist [15] assist,keeping Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G10: