The graph represents a network of 9,545 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 Thursday, 26 May 2022 at 07:17 UTC.
The requested start date was Thursday, 26 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, 13-minute period from Monday, 23 May 2022 at 12:04 UTC to Wednesday, 25 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 : 9545
Unique Edges : 4871
Edges With Duplicates : 11758
Total Edges : 16629
Number of Edge Types : 5
Retweet : 5288
MentionsInRetweet : 6124
Replies to : 447
Tweet : 2994
Mentions : 1776
Self-Loops : 3044
Reciprocated Vertex Pair Ratio : 0.00705580500320718
Reciprocated Edge Ratio : 0.0140127388535032
Connected Components : 2751
Single-Vertex Connected Components : 1133
Maximum Vertices in a Connected Component : 1750
Maximum Edges in a Connected Component : 4138
Maximum Geodesic Distance (Diameter) : 35
Average Geodesic Distance : 13.664683
Graph Density : 8.6171428671792E-05
Modularity : 0.538803
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,545 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 Thursday, 26 May 2022 at 07:17 UTC.
The requested start date was Thursday, 26 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, 13-minute period from Monday, 23 May 2022 at 12:04 UTC to Wednesday, 25 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:
[6070] covid,19 [357] 19,pandemic [301] 19,vaccine [244] whilst,country [244] country,one [244] death,rates [243] one,highest [243] highest,death [237] contra,covid [218] statement,#suegrayreport Top Word Pairs in Tweet in G1:
[1092] covid,19 [64] 19,vaccine [63] 19,pandemic [48] pandemi,covid [37] contra,covid [37] puan,pm [32] puan,maharani [25] pandemia,covid [22] #covid,19 [19] during,covid Top Word Pairs in Tweet in G2:
[364] covid,19 [135] 19,cuba [119] doce,días [119] días,fallecidos [119] fallecidos,covid [112] semanas,consecutivas [107] casos,positivos [95] cuba,mantiene [95] mantiene,ocho [95] ocho,semanas Top Word Pairs in Tweet in G3:
[241] whilst,country [241] country,one [241] one,highest [241] highest,death [241] death,rates [217] statement,#suegrayreport [217] #suegrayreport,whilst [216] covidjusticeuk,statement [44] covid,19 [24] covidjusticeuk,respond Top Word Pairs in Tweet in G4:
[101] covid,19 [32] pm,narendramodi [22] 19,pandemic [21] #importante,dra [21] dra,laurie [21] laurie,ann [21] ann,ximénez [21] ximénez,fyvie [21] fyvie,lximenezfyvie [21] lximenezfyvie,responsabilizó Top Word Pairs in Tweet in G5:
[38] liberté,liberté [35] covid,19 [27] soignants,non [27] non,vaccinés [27] vaccinés,réintégrés [27] réintégrés,exile [27] exile,suisse [27] suisse,obligation [27] obligation,vaccinale [27] vaccinale,soignants Top Word Pairs in Tweet in G6:
[137] covid,19 [117] repunte,casos [84] subvariantes,ómicron [83] 19,esperarse [83] esperarse,repunte [83] casos,méxico [83] méxico,seguramente [83] seguramente,entrada [83] entrada,subvariantes [82] doctormacias,covid Top Word Pairs in Tweet in G7:
[75] covid,19 [62] scandaleux,faîtes [62] faîtes,votre [62] votre,travail [62] travail,journalistes [62] journalistes,fda [62] fda,approuve [59] approuve,booster [46] booster,11 [46] 11,ans Top Word Pairs in Tweet in G8:
[163] inilah,contoh [163] contoh,bangang [163] bangang,pun [163] pun,boleh [163] boleh,dapat [163] dapat,phd [163] phd,saudara [163] saudara,saudari [163] saudari,phd [163] phd,medicine Top Word Pairs in Tweet in G9:
[199] covid,19 [70] 19,venezuela [55] contra,covid [55] 34,nuevos [55] nuevos,casos [48] #24may,responsabilidad [48] responsabilidad,covid [48] 19,juego [48] juego,prevención [48] prevención,clave Top Word Pairs in Tweet in G10:
[101] covid,19 [67] 19,vaccination [32] vaccination,transitorily [32] transitorily,interfere [32] interfere,cardiac [32] cardiac,conduction [32] conduction,system [32] system,subjects [32] subjects,without [32] without,known 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: