The graph represents a network of 8,678 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, 23 December 2022 at 08:16 UTC.
The requested start date was Friday, 23 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, 18-minute period from Tuesday, 20 December 2022 at 11:59 UTC to Thursday, 22 December 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 : 8678
Unique Edges : 4104
Edges With Duplicates : 11989
Total Edges : 16093
Number of Edge Types : 5
Retweet : 5395
MentionsInRetweet : 6061
Tweet : 2802
Mentions : 1303
Replies to : 532
Self-Loops : 2872
Reciprocated Vertex Pair Ratio : 0.00433869839048286
Reciprocated Edge Ratio : 0.00863991081382386
Connected Components : 2365
Single-Vertex Connected Components : 1021
Maximum Vertices in a Connected Component : 2225
Maximum Edges in a Connected Component : 5699
Maximum Geodesic Distance (Diameter) : 41
Average Geodesic Distance : 16.055194
Graph Density : 9.53000627923296E-05
Modularity : 0.505099
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 8,678 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, 23 December 2022 at 08:16 UTC.
The requested start date was Friday, 23 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, 18-minute period from Tuesday, 20 December 2022 at 11:59 UTC to Thursday, 22 December 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:
[5825] covid,19 [335] contra,covid [249] 19,vaccine [184] combate,covid [182] 19,mejor [182] mascarilla,vacunas [182] combinación,mascarilla [182] #prevención,combate [182] mejor,combinación [182] vacunas,sé Top Word Pairs in Tweet in G1:
[973] covid,19 [71] 19,cases [43] china's,crematoriums [43] 'packed',covid [43] crematoriums,'packed' [43] cases,soar [31] 19,pandemic [29] #covid,19 [29] 19,vaccine [25] contra,covid Top Word Pairs in Tweet in G2:
[768] covid,19 [169] vacunas,sé [169] 19,mejor [169] mejor,combinación [169] combate,covid [169] combinación,mascarilla [169] #prevención,combate [169] sé,consciente [169] consciente,cuídate [169] mascarilla,vacunas Top Word Pairs in Tweet in G3:
[122] covid,19 [42] #covid,19 [40] 19,steps [40] sabha,#covid [40] rajya,sabha [40] steps,taken [40] statement,rajya [40] taken,government [39] mansukhmandviya,statement [29] क,स Top Word Pairs in Tweet in G4:
[89] we've,lied [85] covid,19 [62] blood,banking [59] discourse,dr [59] impossible,unvaccinated [59] dr,peter [59] john,leake [59] mission,impossible [59] peter,mccullough [59] unvaccinated,blood Top Word Pairs in Tweet in G5:
[147] covid,19 [117] journalist,swati [117] months,ago [117] few,months [117] china,covid [117] ago,admirer [117] swati,chaturvedi [117] telling,few [117] chaturvedi,still [117] admirer,china Top Word Pairs in Tweet in G6:
[19] covid,19 [19] gkierzek,elisabeth_borne [18] clos,aider [18] porter,masque [18] aider,soignants [18] elisabeth_borne,encourage [18] lieux,clos [18] soignants,hésitez [18] masque,lieux [18] français,porter Top Word Pairs in Tweet in G7:
[116] medo,mas [116] antigo,construído [116] ter,medo [116] hospital,foi [116] hospital,antigo [116] sou,ter [116] plantão,neste [116] foi,também [116] primeiro,plantão [116] neste,hospital Top Word Pairs in Tweet in G8:
[80] covid,19 [22] personnes,ayant [21] #sang,provenant [21] besoin,#transfusionssanguines [21] nombre,croissant [21] demandent,#sang [21] ayant,besoin [21] croissant,personnes [21] #transfusionssanguines,demandent [21] provenant,personnes Top Word Pairs in Tweet in G9:
[112] covid,19 [27] current,situation [27] situation,downstream [27] effects,outset [27] important,recognise [27] downstream,effects [27] outset,very [27] 19,china [27] very,important [27] china,current Top Word Pairs in Tweet in G10:
[103] covid,19 [74] dr,derek [74] everyone,influenza [74] tested,1500 [74] derek,knauss [74] 19,positive [74] 1500,positive [74] clients,each [74] positive,covid [74] each,everyone Top Replied-To in Entire Graph:
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Top Replied-To in G5:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: