The graph represents a network of 10,496 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, 22 December 2022 at 10:25 UTC.
The requested start date was Thursday, 22 December 2022 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, 4-minute period from Monday, 19 December 2022 at 12:15 UTC to Wednesday, 21 December 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 : 10496
Unique Edges : 6209
Edges With Duplicates : 11701
Total Edges : 17910
Number of Edge Types : 5
Retweet : 5318
MentionsInRetweet : 6316
Tweet : 2794
Replies to : 1279
Mentions : 2203
Self-Loops : 2835
Reciprocated Vertex Pair Ratio : 0.00500762029174831
Reciprocated Edge Ratio : 0.00996533795493934
Connected Components : 2660
Single-Vertex Connected Components : 854
Maximum Vertices in a Connected Component : 3388
Maximum Edges in a Connected Component : 7407
Maximum Geodesic Distance (Diameter) : 34
Average Geodesic Distance : 11.030919
Graph Density : 8.38087823469945E-05
Modularity : 0.567674
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 10,496 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, 22 December 2022 at 10:25 UTC.
The requested start date was Thursday, 22 December 2022 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, 4-minute period from Monday, 19 December 2022 at 12:15 UTC to Wednesday, 21 December 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:
[1473] covid,19 [285] covid,vaccine [274] contra,covid [177] long,covid [151] manuelrico,hoy [112] covid,cases [112] covid,vaccines [109] aprobó,protocolo [109] días,gobierno [109] protocolo,impedía Top Word Pairs in Tweet in G1:
[203] covid,19 [24] 19,cases [19] cases,soar [18] china's,crematoriums [18] 'packed',covid [18] china,covid [18] crematoriums,'packed' [17] contra,covid [15] क,र [13] स,क Top Word Pairs in Tweet in G2:
[25] railminindia,ashwinivaishnaw [24] #railwaynewvacancydo,railminindia [23] railway,complete [23] pmoindia,narendramodi [23] demand,youth [23] old,recruitment [23] youth,govt [23] govt,railway [23] release,recruitment [23] due,covid Top Word Pairs in Tweet in G3:
[53] draseemmalhotra,breaking [35] biggest,story [35] powerful,extraordinary [35] world,thecoastguy [35] thecoastguy,powerful [35] call,action [35] extraordinary,call [35] story,world [35] covid,vacc [34] powerful,speech Top Word Pairs in Tweet in G4:
[27] covid,19 [16] invite,elonmusk [15] restrictions,ease [15] mild,covid [15] urged,work [15] covid,urged [15] work,restrictions [15] chinese,mild [14] ap,chinese [11] belle,nouvelle Top Word Pairs in Tweet in G5:
[40] more,infected [39] 3x,more [39] 2x,3x [39] covid,here's [39] news,2x [39] vaccinated,covid [39] infected,covid [39] here's,news [38] bryandeanwright,vaccinated [33] covid,vaccine Top Word Pairs in Tweet in G6:
[97] vacinas,covid [93] fda,solta [93] solta,artigo [93] covid,são [93] perigosas,podem [93] informando,vacinas [93] artigo,informando [93] finalmente,fda [93] são,perigosas [93] podem,causar Top Word Pairs in Tweet in G7:
[271] covid,19 [91] contra,covid [67] #entérate,importante [67] saber,covid [67] causada,virus [67] enfermedad,causada [67] virus,deteriora [67] deteriora,nuestro [67] importante,saber [67] 19,enfermedad Top Word Pairs in Tweet in G8:
[40] whoever,needs [20] infected,whoever [20] current,#covid [20] infected,infected [20] #ccp's,current [20] needs,infected [20] needs,die [20] die,die [20] summary,#ccp's [20] die,early Top Word Pairs in Tweet in G9:
[31] covid,came [30] came,wuhan [30] lab,fauci [30] fauci,potomac [30] throws,fauci [30] wuhan,lab [30] director,finally [30] former,cdc [30] alleges,covid [30] potomac,alleges Top Word Pairs in Tweet in G10:
[49] covid,19 [30] dr,derek [30] everyone,influenza [30] tested,1500 [30] derek,knauss [30] 19,positive [30] 1500,positive [30] clients,each [30] positive,covid [30] each,everyone Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: