The graph represents a network of 11,911 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 Wednesday, 08 December 2021 at 08:48 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, 1-minute period from Sunday, 05 December 2021 at 12:17 UTC to Tuesday, 07 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 : 11911
Unique Edges : 6662
Edges With Duplicates : 12018
Total Edges : 18680
Number of Edge Types : 5
Retweet : 5375
MentionsInRetweet : 6189
Tweet : 3485
Mentions : 2556
Replies to : 1075
Self-Loops : 3521
Reciprocated Vertex Pair Ratio : 0.00642260757867694
Reciprocated Edge Ratio : 0.0127632418634333
Connected Components : 3593
Single-Vertex Connected Components : 937
Maximum Vertices in a Connected Component : 826
Maximum Edges in a Connected Component : 1757
Maximum Geodesic Distance (Diameter) : 43
Average Geodesic Distance : 11.000879
Graph Density : 6.62766060710132E-05
Modularity : 0.578029
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 11,911 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 Wednesday, 08 December 2021 at 08:48 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, 1-minute period from Sunday, 05 December 2021 at 12:17 UTC to Tuesday, 07 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:
[2105] covid,19 [236] pasaporte,covid [152] contra,covid [122] omicron,variant [117] covid,vaccine [106] 19,vaccine [104] positive,covid [88] against,covid [85] covid,cases [84] march,2020 Top Word Pairs in Tweet in G1:
[312] covid,19 [37] contra,covid [18] covid,vaccine [17] omicron,variant [15] pasaporte,covid [14] 19,vaccination [12] positive,covid [12] due,covid [11] omicron,covid [10] covid,cases Top Word Pairs in Tweet in G2:
[26] covid,19 [18] eligible,population [11] please,take [11] take,#jeeadvancedforall [11] #jeeadvancedforall,consideration [10] during,covid [10] consideration,desparately [10] desparately,need [10] need,2020 [10] 2020,passouts Top Word Pairs in Tweet in G3:
[47] 90,people [47] people,hospital [28] reallorraine,really [28] really,figure [28] figure,really [28] really,need [28] need,concentrate [28] concentrate,90 [27] statsjamie,reallorraine [27] hospital,vac Top Word Pairs in Tweet in G4:
[68] loss,motivation [68] motivation,covid [68] covid,symptom [68] symptom,ain [68] ain,feel [68] feel,same [68] same,march [68] march,2020 [67] _ezeokolorie,loss [38] years,later Top Word Pairs in Tweet in G5:
[25] covid,19 [12] thelancet,covid [12] 19,stigmatising [12] stigmatising,unvaccinated [12] unvaccinated,justified [12] justified,put [12] put,extra [12] extra,effort [12] effort,bringing [12] bringing,society Top Word Pairs in Tweet in G6:
[22] vacunado,ultraconvencido [22] ultraconvencido,contaban [22] contaban,días [22] días,faltaban [22] faltaban,ponérsela [22] ponérsela,parece [22] parece,escándalo [21] sorianodomingo,vacunado [13] pasaporte,covid [12] pasado,covid Top Word Pairs in Tweet in G7:
[19] icu,beds [19] beds,nh [19] nh,unit's [19] unit's,covid [19] covid,except [19] except,intubated [19] intubated,codes [19] codes,tonight [19] tonight,outside [19] outside,unit Top Word Pairs in Tweet in G8:
[35] covid,19 [20] moitié,ayant [20] ayant,reçu [17] 27,000 [17] 000,personnes [16] étude,française [16] française,27 [16] personnes,disaient [16] disaient,souffrir [16] souffrir,covid Top Word Pairs in Tweet in G9:
[27] breaking,israeli [27] israeli,ministry [27] ministry,health [27] health,announced [27] announced,today [27] today,soon [27] soon,approve [27] approve,4th [27] 4th,vaccine [27] vaccine,shot Top Word Pairs in Tweet in G10:
[49] covid,19 [14] positive,covid [12] 50,year [12] year,old [12] old,man [12] man,tried [12] tried,pass [12] pass,silicone [12] silicone,arm [12] arm,covid Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G10: