The graph represents a network of 9,583 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, 25 May 2022 at 07:18 UTC.
The requested start date was Wednesday, 25 May 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, 20-minute period from Sunday, 22 May 2022 at 11:57 UTC to Tuesday, 24 May 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 : 9583
Unique Edges : 4963
Edges With Duplicates : 11456
Total Edges : 16419
Number of Edge Types : 5
Tweet : 2981
Retweet : 5171
MentionsInRetweet : 5972
Replies to : 489
Mentions : 1806
Self-Loops : 3050
Reciprocated Vertex Pair Ratio : 0.00487992808527032
Reciprocated Edge Ratio : 0.00971246006389776
Connected Components : 2791
Single-Vertex Connected Components : 1191
Maximum Vertices in a Connected Component : 1046
Maximum Edges in a Connected Component : 2541
Maximum Geodesic Distance (Diameter) : 30
Average Geodesic Distance : 9.732921
Graph Density : 8.5217088381806E-05
Modularity : 0.545932
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,583 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, 25 May 2022 at 07:18 UTC.
The requested start date was Wednesday, 25 May 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, 20-minute period from Sunday, 22 May 2022 at 11:57 UTC to Tuesday, 24 May 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:
[6338] covid,19 [377] 19,vaccine [284] 19,pandemic [248] contra,covid [193] anti,covid [175] líder,mundial [167] vacunación,anti [167] medidas,bioseguridad [156] mundial,vacunación [156] 19,cien Top Word Pairs in Tweet in G1:
[1155] covid,19 [88] 19,vaccine [59] medidas,bioseguridad [59] virus,covid [57] evitar,propagación [57] propagación,virus [56] 19,pandemic [56] #cz43capital,haciendo [56] haciendo,cumplir [56] cumplir,medidas Top Word Pairs in Tweet in G2:
[372] covid,19 [164] vacunación,anti [162] anti,covid [161] líder,mundial [153] mundial,vacunación [150] 96,población [150] 19,cien [150] cien,habitantes [147] población,vacunable [144] vacunable,cubana Top Word Pairs in Tweet in G3:
[61] covid,19 [51] soignants,non [51] non,vaccinés [51] vaccinés,réintégrés [48] réintégrés,exile [48] exile,suisse [48] suisse,obligation [48] obligation,vaccinale [48] vaccinale,soignants [48] soignants,ndlr Top Word Pairs in Tweet in G4:
[119] covid,19 [20] 19,vaccine [17] 19,pandemic [17] namo,app [16] leaders,wef [16] wef,hail [16] hail,india's [16] india's,covid [16] vaccine,equity [16] equity,manufacturing Top Word Pairs in Tweet in G5:
[103] covid,19 [64] scandaleux,faîtes [64] faîtes,votre [64] votre,travail [64] travail,journalistes [64] journalistes,fda [64] fda,approuve [61] approuve,booster [48] booster,11 [48] 11,ans Top Word Pairs in Tweet in G6:
[2] robtozer22,teamhercules15 [2] teamhercules15,jenjenl49 [2] bnt162b2,showed [2] sars,cov [2] cov,infections [2] covid,19 [2] chris_f_carson,joecoyle101 [2] joecoyle101,nodictatorship9 [2] nodictatorship9,laughlandmorgan [2] laughlandmorgan,sharky_vs_evil Top Word Pairs in Tweet in G7:
[233] covid,19 [74] medidas,bioseguridad [64] nuevos,casos [61] evitar,propagación [60] #cz43capital,haciendo [60] haciendo,cumplir [60] cumplir,medidas [60] bioseguridad,evitar [60] propagación,virus [60] virus,covid Top Word Pairs in Tweet in G8:
[99] covid,19 [80] 19,esperarse [80] esperarse,repunte [80] repunte,casos [80] casos,méxico [80] méxico,seguramente [80] seguramente,entrada [80] entrada,subvariantes [80] subvariantes,ómicron [79] doctormacias,covid Top Word Pairs in Tweet in G9:
[131] inilah,contoh [131] contoh,bangang [131] bangang,pun [131] pun,boleh [131] boleh,dapat [131] dapat,phd [131] phd,saudara [131] saudara,saudari [131] saudari,phd [131] phd,medicine Top Word Pairs in Tweet in G10:
[112] covid,19 [25] those,aged [24] 19,death [24] ons,deaths [24] deaths,due [24] due,covid [24] 19,occurred [24] occurred,those [24] aged,over [24] over,80 Top Replied-To in Entire Graph:
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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 G5:
Top Tweeters in G6:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: