The graph represents a network of 12,240 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, 30 December 2021 at 10:55 UTC.
The requested start date was Thursday, 30 December 2021 at 01:01 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, 1-minute period from Monday, 27 December 2021 at 12:18 UTC to Wednesday, 29 December 2021 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 : 12240
Unique Edges : 6655
Edges With Duplicates : 11873
Total Edges : 18528
Number of Edge Types : 5
Retweet : 5421
MentionsInRetweet : 6104
Tweet : 3716
Replies to : 1048
Mentions : 2239
Self-Loops : 3751
Reciprocated Vertex Pair Ratio : 0.00356030262572319
Reciprocated Edge Ratio : 0.00709534368070953
Connected Components : 3981
Single-Vertex Connected Components : 1011
Maximum Vertices in a Connected Component : 167
Maximum Edges in a Connected Component : 339
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 3.995451
Graph Density : 6.02114637286677E-05
Modularity : 0.57322
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 12,240 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, 30 December 2021 at 10:55 UTC.
The requested start date was Thursday, 30 December 2021 at 01:01 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, 1-minute period from Monday, 27 December 2021 at 12:18 UTC to Wednesday, 29 December 2021 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:
[1639] covid,19 [177] positive,covid [162] covid,test [129] contra,covid [124] covid,cases [100] tested,positive [95] pasaporte,covid [88] filé,mignon [87] casos,covid [86] positivo,covid Top Word Pairs in Tweet in G1:
[221] covid,19 [20] positive,covid [20] covid,test [19] covid,cases [19] contra,covid [15] casos,covid [11] positivo,covid [9] nuevos,casos [9] #,# [8] casos,positivos Top Word Pairs in Tweet in G2:
[35] près,personnes [35] sont,vaccinées [21] covid,sont [19] mois,décembre [19] décembre,près [19] personnes,décèdent [19] décèdent,covid [17] echabriere,mois [16] décembre,classe [16] classe,d'âges Top Word Pairs in Tweet in G3:
[47] covid,air [47] air,jobs [47] jobs,paying [47] paying,3x [47] 3x,rent [47] rent,apartments [47] apartments,1400 [47] 1400,hell [46] earthangeleve,covid [30] sister,appointment Top Word Pairs in Tweet in G4:
[12] covid,19 [11] christmas,somehow [11] somehow,upended [11] upended,covid [11] covid,count [11] count,yourself [11] yourself,lucky [11] lucky,spoilt [11] spoilt,covid [11] covid,doubt Top Word Pairs in Tweet in G5:
[34] dr,mccullough [34] mccullough,went [34] went,joe [34] joe,rogan [34] rogan,experience [34] experience,told [34] told,world [34] world,leaders [34] leaders,intentionally [34] intentionally,hid Top Word Pairs in Tweet in G6:
[18] fight,against [15] covid,19 [13] against,covid [13] cdsco,mohfw_india [13] anti,viral [13] viral,drug [11] congratulations,india [11] 19,cdsco [11] mohfw_india,given [10] covid,vaccines Top Word Pairs in Tweet in G7:
[48] covid,19 [22] #covid_19,41 [22] 41,brigada [22] brigada,blindada [17] contra,covid [14] gb_belzaresr,#covid_19 [14] blindada,fuerte [14] fuerte,paramacay [14] paramacay,#rompelacadena [14] #rompelacadena,covid_19 Top Word Pairs in Tweet in G8:
[55] covid,drop [55] drop,albums [55] albums,before [55] before,rihanna [54] kirawontmiss,covid [2] kirawontmiss,best [2] best,covid [2] covid,albums [2] albums,ranked [2] ranked,best Top Word Pairs in Tweet in G9:
[4] marionolio,vorandante [4] vorandante,laladil30301091 [4] laladil30301091,cadoanmu [4] cadoanmu,samurai16157668 [4] samurai16157668,chabestiashdps [4] chabestiashdps,1961tokio [4] 1961tokio,hus07777781 [4] hus07777781,soportetecjtt [2] plan,nacional [2] nacional,refuerzo Top Word Pairs in Tweet in G10:
[2] fiddaman,solid [2] solid,analysis [2] analysis,serious [2] serious,group [2] group,watch [2] watch,think [2] think,critique [2] critique,decide Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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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 Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: