The graph represents a network of 10,320 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 Wednesday, 08 December 2021 at 08:24 UTC.
The requested start date was Wednesday, 08 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, 6-minute period from Sunday, 05 December 2021 at 12:11 UTC to Tuesday, 07 December 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 : 10320
Unique Edges : 5392
Edges With Duplicates : 11890
Total Edges : 17282
Number of Edge Types : 5
Retweet : 5350
MentionsInRetweet : 6026
Tweet : 3359
Replies to : 490
Mentions : 2057
Self-Loops : 3449
Reciprocated Vertex Pair Ratio : 0.00630797773654916
Reciprocated Edge Ratio : 0.0125368731563422
Connected Components : 3099
Single-Vertex Connected Components : 1078
Maximum Vertices in a Connected Component : 654
Maximum Edges in a Connected Component : 1678
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 7.56786
Graph Density : 7.6400047778201E-05
Modularity : 0.545266
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10,320 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 Wednesday, 08 December 2021 at 08:24 UTC.
The requested start date was Wednesday, 08 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, 6-minute period from Sunday, 05 December 2021 at 12:11 UTC to Tuesday, 07 December 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:
[6689] covid,19 [349] 19,vaccine [288] contra,covid [244] omicron,variant [203] 19,pandemic [174] 19,african [165] positive,covid [150] re,brand [150] brand,covid [150] african,issue Top Word Pairs in Tweet in G1:
[996] covid,19 [70] contra,covid [36] 19,pandemic [30] 19,vaccine [28] omicron,variant [23] 19,cases [20] vacunación,contra [18] 19,vaccination [17] #covid,19 [15] positive,covid Top Word Pairs in Tweet in G2:
[86] omicron,variant [83] south,africa [82] ceo,south [82] africa,largest [82] largest,private [82] private,healthcare [82] healthcare,network [82] network,omicron [82] variant,mild [81] prisonplanet,ceo Top Word Pairs in Tweet in G3:
[146] covid,19 [146] 19,african [145] re,brand [145] brand,covid [145] african,issue [145] issue,happening [145] happening,front [145] front,eyes [144] lateefsaka,re Top Word Pairs in Tweet in G4:
[113] covid,19 [31] police,fired [31] fired,teargas [31] teargas,used [31] used,water [31] water,cannons [31] cannons,sunday [31] sunday,disperse [31] disperse,protesters [31] protesters,pelting Top Word Pairs in Tweet in G5:
[124] covid,19 [34] moitié,ayant [34] ayant,reçu [30] 19,pourquoi [30] pourquoi,comment [30] comment,initiateurs [30] initiateurs,confinement [30] confinement,mondial [30] mondial,pourraient [30] pourraient,être Top Word Pairs in Tweet in G6:
[141] covid,19 [25] franceinfo,covid [16] non,vaccinés [16] conseil,défense [16] 19,plus [16] plus,millions [16] millions,personnes [16] personnes,#monde [16] #monde,sont [16] sont,décédées Top Word Pairs in Tweet in G7:
[86] covid,19 [26] contra,covid [14] venezuela,registra [13] nuevos,contagios [11] lucha,contra [9] vacunación,masiva [9] 19,recuerda [9] medidas,prevención [8] plan,vacunación [8] #atención,ante Top Word Pairs in Tweet in G8:
[95] covid,19 [75] positif,covid [71] 41,pelajar [71] pelajar,dan [71] dan,guru [71] guru,dua [71] dua,madrasah [71] madrasah,positif [71] 19,kluster [71] kluster,pulau Top Word Pairs in Tweet in G9:
[81] covid,19 [46] thelancet,covid [46] 19,stigmatising [46] stigmatising,unvaccinated [46] unvaccinated,justified [46] justified,put [46] put,extra [46] extra,effort [46] effort,bringing [46] bringing,society Top Word Pairs in Tweet in G10:
[48] covid,19 [18] apparently,european [18] european,sunday [18] sunday,newspapers [18] newspapers,reporting [18] reporting,covid [18] 19,omicron [18] omicron,variant [18] variant,racialising [17] mbele_lnb,apparently Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
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:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: