The graph represents a network of 9,030 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 Monday, 14 November 2022 at 08:13 UTC.
The requested start date was Monday, 14 November 2022 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, 17-minute period from Tuesday, 01 November 2022 at 12:00 UTC to Thursday, 03 November 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 : 9030
Unique Edges : 4200
Edges With Duplicates : 12334
Total Edges : 16534
Number of Edge Types : 5
Retweet : 5710
MentionsInRetweet : 6484
Replies to : 597
Mentions : 1438
Tweet : 2305
Self-Loops : 2409
Reciprocated Vertex Pair Ratio : 0.0041405269761606
Reciprocated Edge Ratio : 0.00824690740972136
Connected Components : 2127
Single-Vertex Connected Components : 826
Maximum Vertices in a Connected Component : 2622
Maximum Edges in a Connected Component : 6053
Maximum Geodesic Distance (Diameter) : 31
Average Geodesic Distance : 10.889565
Graph Density : 9.81579350504287E-05
Modularity : 0.531894
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 9,030 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 Monday, 14 November 2022 at 08:13 UTC.
The requested start date was Monday, 14 November 2022 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, 17-minute period from Tuesday, 01 November 2022 at 12:00 UTC to Thursday, 03 November 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:
[5880] covid,19 [1519] ãƒ,ム[547] î,î [425] matt,hancock [416] contra,covid [394] oversaw,uk [394] uk,having [394] one,highest [394] having,one [392] secretary,oversaw Top Word Pairs in Tweet in G1:
[745] covid,19 [85] ãƒ,ム[54] ø,ø [52] ø,ù [46] ù,ø [39] î,î [35] 19,pandemic [31] contra,covid [28] 19,vaccine [26] æ,æ Top Word Pairs in Tweet in G2:
[437] covid,19 [263] #prevenciã,nðÿ [224] vtvcanal8,#prevenciã [177] control,covid [175] controla,contagio [175] nðÿ,control [175] primera,controla [175] contenciã,mitigaciã [175] 19,contenciã [175] mitigaciã,primera Top Word Pairs in Tweet in G3:
[612] covid,19 [302] nonq,pcr [301] reviewed,study [301] 42,false [301] pcr,test [301] peer,reviewed [300] shows,42 [300] study,shows [300] test,covid [300] rate,covid Top Word Pairs in Tweet in G4:
[258] covid,19 [59] shed,light [59] warned,long [59] effects,covid [59] severe,virus [59] we've,warned [59] research,shed [59] 19,research [59] light,severe [59] term,effects Top Word Pairs in Tweet in G5:
[190] death,tolls [190] heâ,health [190] one,highest [190] uk,having [190] having,one [190] hancock,isnâ [190] matt,hancock [190] isnâ,celebrity [190] secretary,oversaw [190] health,secretary Top Word Pairs in Tweet in G6:
[200] one,highest [200] uk,having [200] having,one [200] oversaw,uk [199] matt,hancock [198] secretary,oversaw [198] health,secretary [198] highest,death [194] hancock,isnâ [194] former,health Top Word Pairs in Tweet in G7:
[199] covid,19 [163] nuestras,vacunas [161] contra,covid [158] 19,continãºan [156] genos,cubanos [156] cubanos,contra [156] continãºan,confirmando [156] resultados,inmunã [156] inmunã,genos [156] vacunas,hito Top Word Pairs in Tweet in G8:
[133] sigilo,cem [133] bolsonaro,serã [133] cumprir,promessa [133] cem,anos [133] anos,segredos [133] lulaoficial,cumprir [133] serã,revelados [133] promessa,sigilo [133] segredos,bolsonaro [133] interessa,lulaoficial Top Word Pairs in Tweet in G9:
[82] karl_lauterbach,lã [82] vergeblich,die [82] monat,verlangte [82] hã,rtere [82] rtere,maãÿnahmen [82] ndern,hã [82] lã,ndern [82] die,mps [82] mps,erkannt [82] verlangte,karl_lauterbach Top Word Pairs in Tweet in G10:
[68] covid,19 [31] vã,ritã [29] #macron,lui [29] lui,mãªme [29] sanitaire,quand [29] ai,lu [29] scientifiqueâ,vaccins [29] ritã,scientifiqueâ [29] parler,lâ [29] mãªme,parler Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
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 Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: