The graph represents a network of 9,511 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, 02 June 2022 at 07:19 UTC.
The requested start date was Thursday, 02 June 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, 17-minute period from Monday, 30 May 2022 at 12:00 UTC to Wednesday, 01 June 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 : 9511
Unique Edges : 4986
Edges With Duplicates : 11626
Total Edges : 16612
Number of Edge Types : 5
Retweet : 5250
MentionsInRetweet : 6167
Tweet : 3040
Replies to : 389
Mentions : 1766
Self-Loops : 3105
Reciprocated Vertex Pair Ratio : 0.00963143701040195
Reciprocated Edge Ratio : 0.0190791147290766
Connected Components : 2804
Single-Vertex Connected Components : 1149
Maximum Vertices in a Connected Component : 812
Maximum Edges in a Connected Component : 1882
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.580953
Graph Density : 8.69213255866996E-05
Modularity : 0.540197
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,511 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, 02 June 2022 at 07:19 UTC.
The requested start date was Thursday, 02 June 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, 17-minute period from Monday, 30 May 2022 at 12:00 UTC to Wednesday, 01 June 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:
[6063] covid,19 [292] 19,vaccine [282] contra,covid [282] 19,pandemic [276] france,commandé [276] 250,millions [237] millions,euros [226] quelques,mois [224] commandé,quelques [224] mois,250 Top Word Pairs in Tweet in G1:
[1140] covid,19 [58] 19,pandemic [52] 19,cases [47] contra,covid [33] pandemi,covid [33] during,covid [32] 19,vaccine [32] puan,peduli [32] peduli,wong [32] wong,cilik Top Word Pairs in Tweet in G2:
[265] france,commandé [265] 250,millions [229] millions,euros [216] commandé,quelques [216] quelques,mois [216] mois,250 [216] euros,produit [216] produit,pfizer [216] pfizer,#paxlovid [216] #paxlovid,dont Top Word Pairs in Tweet in G3:
[189] covid,19 [46] enfrentamiento,covid [34] flexibiliza,protocolo [34] protocolo,enfrentamiento [34] 19,insiste [34] insiste,autorresponsabilidad [32] medidas,laborales [32] laborales,salariales [32] salariales,relacionadas [27] control,covid Top Word Pairs in Tweet in G4:
[111] alerte,l'ivermectine [111] l'ivermectine,désormais [111] désormais,scientifiquement [111] scientifiquement,reconnue [111] reconnue,comme [111] comme,médicament [111] médicament,efficace [111] efficace,prophylaxie [110] flymachabert,alerte [110] prophylaxie,tra Top Word Pairs in Tweet in G5:
[186] covid,19 [76] 19,venezuela [66] contra,covid [64] nuevos,casos [61] lucha,contra [60] venezuela,registra [60] casos,contagios [47] vtvcanal8,día [46] contagios,fallecidos [45] día,807 Top Word Pairs in Tweet in G6:
[43] covid,19 [31] fears,cover [31] cover,chief [31] chief,heidelberg [31] heidelberg,pathologist [31] pathologist,30 [31] 30,40 [31] 40,vaccine [31] vaccine,autopsies [31] autopsies,those Top Word Pairs in Tweet in G7:
[100] covid,19 [42] 19,vaccine [30] know,media [30] media,82 [30] 82,vax [30] vax,toddler [30] toddler,covid [30] covid,88 [30] 88,longer [30] longer,fear Top Word Pairs in Tweet in G8:
[40] 31,milliards [39] #unioneuropéenne,ses [39] ses,deux [39] deux,responsables [39] responsables,#ursulavonderleyen [39] #ursulavonderleyen,#thierrybreton [39] #thierrybreton,auraient [39] auraient,surpayé [39] surpayé,31 [39] milliards,vaccins Top Word Pairs in Tweet in G9:
[63] covid,19 [44] pm,cares [44] children,scheme [43] cares,children [38] lost,parents [35] 19,pandemic [32] parents,covid [30] those,lost [29] scheme,support [29] support,those Top Word Pairs in Tweet in G10:
[98] covid,19 [50] known,respiratory [50] respiratory,viruses [50] viruses,covid [50] 19,killed [50] killed,more [50] more,100 [50] 100,children [50] children,month [50] month,modern Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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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 G10: