The graph represents a network of 10,150 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 Monday, 29 November 2021 at 08:23 UTC.
The requested start date was Monday, 29 November 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 3-day, 0-hour, 4-minute period from Thursday, 25 November 2021 at 12:13 UTC to Sunday, 28 November 2021 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 : 10150
Unique Edges : 5190
Edges With Duplicates : 12110
Total Edges : 17300
Number of Edge Types : 5
Replies to : 536
MentionsInRetweet : 6002
Mentions : 1909
Retweet : 5353
Tweet : 3500
Self-Loops : 3556
Reciprocated Vertex Pair Ratio : 0.00518527886682686
Reciprocated Edge Ratio : 0.0103170608958228
Connected Components : 3055
Single-Vertex Connected Components : 1116
Maximum Vertices in a Connected Component : 1077
Maximum Edges in a Connected Component : 2482
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 8.249018
Graph Density : 7.71557973388628E-05
Modularity : 0.535386
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10,150 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 Monday, 29 November 2021 at 08:23 UTC.
The requested start date was Monday, 29 November 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 3-day, 0-hour, 4-minute period from Thursday, 25 November 2021 at 12:13 UTC to Sunday, 28 November 2021 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:
[6420] covid,19 [485] 19,variant [283] south,africa [280] nueva,variante [236] 19,vaccine [220] contra,covid [183] variante,covid [178] karina,winter [160] winter,ningning [140] tested,negative Top Word Pairs in Tweet in G1:
[918] covid,19 [79] 19,variant [32] contra,covid [30] 19,vaccine [29] variante,covid [29] south,africa [22] nueva,variante [19] 19,pandemic [17] #covid,19 [15] variant,covid Top Word Pairs in Tweet in G2:
[277] covid,19 [76] 19,variant [54] south,africa [30] swiss,voters [24] 19,pill [23] 19,vaccine [22] 19,japan [22] japan,tightens [22] tightens,border [22] border,controls Top Word Pairs in Tweet in G3:
[175] karina,winter [158] winter,ningning [144] covid,19 [107] tested,covid [102] ningning,tested [102] cold,symptoms [101] 19,landing [101] landing,cold [100] aespresso_sm,karina [100] symptoms,transp Top Word Pairs in Tweet in G4:
[150] covid,19 [43] contra,covid [29] pandemia,covid [28] nueva,variante [27] importante,mantener [27] lucha,contra [24] 19,venezuela [23] #cuidatusalud,pandemia [23] 19,sumamente [23] sumamente,importante Top Word Pairs in Tweet in G5:
[83] covid,19 [28] nouveau,variant [14] pass,sanitaire [13] alerte,info [12] olivier,véran [11] france,suspend [11] vols,provenance [10] mois,après [9] contre,covid [9] info,covid Top Word Pairs in Tweet in G6:
[19] décès,chez [19] chez,enfants [19] enfants,âgés [19] âgés,10 [19] 10,14 [19] 14,ans [19] ans,sont [19] sont,44 [19] 44,plus [19] plus,élevés Top Word Pairs in Tweet in G7:
[75] covid,19 [61] urgente,coronavirus [52] alertanews24,urgente [50] nueva,variante [33] coronavirus,militares [33] militares,alemanes [33] alemanes,reciben [33] reciben,orden [33] orden,preparar [33] preparar,aviones Top Word Pairs in Tweet in G8:
[49] covid,19 [16] 19,variants [14] labelled,penalized [14] occur,randomly [14] randomly,elsewhere [13] africa,labelled [13] penalized,covid [13] variants,mutations [13] mutations,occur [12] akin_adesina,africa Top Word Pairs in Tweet in G9:
[73] covid,19 [32] strange,suspicion [32] suspicion,uk [32] uk,purposefully [32] purposefully,announce [32] announce,discovery [32] discovery,covid [32] 19,variants [32] variants,wait [31] theldpage,strange Top Word Pairs in Tweet in G10:
[35] covid,19 [8] aspirants,protesting [8] protesting,jantar [8] jantar,mantar [8] mantar,demanding [8] demanding,covid [8] 19,compensatory [8] compensatory,attempts [8] attempts,year [8] year,age Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
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Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: