The graph represents a network of 8,872 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, 09 September 2022 at 07:13 UTC.
The requested start date was Friday, 09 September 2022 at 00:01 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, 15-minute period from Tuesday, 06 September 2022 at 12:02 UTC to Thursday, 08 September 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 : 8872
Unique Edges : 3915
Edges With Duplicates : 12957
Total Edges : 16872
Number of Edge Types : 5
Retweet : 6013
MentionsInRetweet : 6679
Tweet : 2028
Replies to : 373
Mentions : 1779
Self-Loops : 2111
Reciprocated Vertex Pair Ratio : 0.00510458167330677
Reciprocated Edge Ratio : 0.0101573145051406
Connected Components : 1907
Single-Vertex Connected Components : 726
Maximum Vertices in a Connected Component : 1591
Maximum Edges in a Connected Component : 3290
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 2.404067
Graph Density : 0.000102574838083464
Modularity : 0.510658
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 8,872 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, 09 September 2022 at 07:13 UTC.
The requested start date was Friday, 09 September 2022 at 00:01 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, 15-minute period from Tuesday, 06 September 2022 at 12:02 UTC to Thursday, 08 September 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:
[4774] covid,19 [1586] วใจล,มเหลวเฉ [1586] มเหลวเฉ,ยบพล [1585] ล,าส [1585] าส,ดน [1585] ดน,องชายท [1585] องชายท,ร [1585] ร,จ [1585] จ,กเส [1585] กเส,ยช Top Word Pairs in Tweet in G1:
[1586] วใจล,มเหลวเฉ [1586] มเหลวเฉ,ยบพล [1585] ล,าส [1585] าส,ดน [1585] ดน,องชายท [1585] องชายท,ร [1585] ร,จ [1585] จ,กเส [1585] กเส,ยช [1585] ยช,ว Top Word Pairs in Tweet in G2:
[698] covid,19 [41] 19,pandemic [27] 19,vaccine [26] contra,covid [23] nature's,health [20] vaksin,covid [19] 19,cases [17] erick,thohir [17] atas,keberhasilan [17] dalam,pengembangan Top Word Pairs in Tweet in G3:
[816] covid,19 [415] vtvcanal8,#prevención [232] control,covid [230] 19,contención [230] contención,mitigación [230] controla,contagio [230] contagio,evita [228] mitigación,primera [228] primera,controla [224] #prevención,control Top Word Pairs in Tweet in G4:
[126] covid,19 [35] passe,administrez [35] administrez,fortes [35] fortes,doses [35] doses,vitamine [35] vitamine,patients [35] patients,atteints [35] atteints,covid [35] 19,sévère [34] tatiann69922625,passe Top Word Pairs in Tweet in G5:
[136] covid,19 [59] 19,death [58] political,lean [58] lean,emerged [58] emerged,one [58] one,best [58] best,indicators [58] indicators,covid [58] death,rates [58] rates,much Top Word Pairs in Tweet in G6:
[128] covid,19 [70] news,32 [70] 32,young [70] young,canadian [70] canadian,doctors [70] doctors,died [70] died,suddenly [70] suddenly,past [70] past,16 [70] 16,months Top Word Pairs in Tweet in G7:
[61] covid,19 [24] against,covid [21] #covid,19 [17] fight,against [14] sars,cov [12] nasal,vaccine [11] big,boost [11] boost,india's [11] india's,fight [11] 19,bharat Top Word Pairs in Tweet in G8:
[56] covid,19 [18] 100,days [18] think,dreadful [18] dreadful,effect [18] effect,covid [18] 19,humankind [18] humankind,mass [18] mass,cognitive [18] cognitive,decline [18] decline,leads Top Word Pairs in Tweet in G9:
[5] covid,19 [2] shina20269455,ryanbeed [2] saltaovladimir,ptcjoneses [2] real_seeking,tradreform [2] tradreform,jonathansarfat1 [2] jonathansarfat1,minnesotaexpat [2] minnesotaexpat,cbeckj [2] cbeckj,happielady_ [2] happielady_,jiminyc24 [2] jiminyc24,springbok1066 Top Word Pairs in Tweet in G10:
[53] armed,forces [51] cosponsoring,hr [51] hr,3860 [51] 3860,legislation [51] legislation,introduced [51] introduced,prevent [51] prevent,members [51] members,armed [48] forces,being [48] being,forced 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: