The graph represents a network of 11,302 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 27 May 2022 at 07:56 UTC.
The requested start date was Friday, 27 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, 3-minute period from Tuesday, 24 May 2022 at 12:16 UTC to Thursday, 26 May 2022 at 12:19 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 : 11302
Unique Edges : 6744
Edges With Duplicates : 11085
Total Edges : 17829
Number of Edge Types : 5
Retweet : 5124
MentionsInRetweet : 6070
Mentions : 2413
Tweet : 3035
Replies to : 1187
Self-Loops : 3080
Reciprocated Vertex Pair Ratio : 0.00658178679326716
Reciprocated Edge Ratio : 0.0130775002679816
Connected Components : 3304
Single-Vertex Connected Components : 1048
Maximum Vertices in a Connected Component : 1248
Maximum Edges in a Connected Component : 2608
Maximum Geodesic Distance (Diameter) : 30
Average Geodesic Distance : 8.791577
Graph Density : 7.30403617014457E-05
Modularity : 0.589062
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 11,302 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 27 May 2022 at 07:56 UTC.
The requested start date was Friday, 27 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, 3-minute period from Tuesday, 24 May 2022 at 12:16 UTC to Thursday, 26 May 2022 at 12:19 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
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:
[1681] covid,19 [239] long,covid [193] downing,street [162] during,covid [149] manuelrico,hoy [142] died,covid [128] cleaning,team [125] cleaner,part [125] part,downing [125] street,cleaning Top Word Pairs in Tweet in G1:
[305] covid,19 [34] during,covid [27] puan,pm [26] long,covid [23] pandemi,covid [23] contra,covid [19] medidas,bioseguridad [18] underestimating,prevalence [18] prevalence,covid' [18] covid',americans Top Word Pairs in Tweet in G2:
[44] variole,singe [27] vaccins,covid [21] anti,covid [20] contre,variole [19] covid,19 [19] vaccination,contre [16] cas,france [16] france,déjà [16] déjà,arrêté [16] arrêté,autorisant Top Word Pairs in Tweet in G3:
[81] guidance,followed [56] carolinelucas,borisjohnson [55] borisjohnson,officially [55] officially,lied [55] lied,parliament [55] parliament,guidance [55] followed,#suegray [55] #suegray,whatever [55] whatever,initial [54] initial,int Top Word Pairs in Tweet in G4:
[128] downing,street [115] revelation,cleaner [115] cleaner,part [115] part,downing [115] street,cleaning [115] cleaning,team [115] team,cleaned [115] cleaned,human [115] human,spills [115] spills,including Top Word Pairs in Tweet in G5:
[23] health,condition [20] long,covid [16] recap,yesterday [16] yesterday,cdcgov [16] cdcgov,acknowledged [16] acknowledged,people [16] people,develop [16] develop,health [16] condition,#longcovid [15] covid,19 Top Word Pairs in Tweet in G6:
[6] long,covid [4] know,covid [3] people,starting [3] starting,notice [3] notice,friends [3] friends,40's [3] 40's,50's [3] 50's,suddenly [3] suddenly,dying [3] dying,becoming Top Word Pairs in Tweet in G7:
[59] whilst,country [59] country,one [59] one,highest [59] highest,death [59] death,rates [53] statement,#suegrayreport [53] #suegrayreport,whilst [52] covidjusticeuk,statement [14] don,care [14] care,#partygate Top Word Pairs in Tweet in G8:
[149] manuelrico,hoy [107] días,gobierno [107] gobierno,ayuso [107] ayuso,aprobó [107] aprobó,protocolo [107] protocolo,impedía [107] impedía,trasladar [107] trasladar,hospital [107] hospital,residentes [104] residentes,vulnerab Top Word Pairs in Tweet in G9:
[34] india,vaccine [33] gratitude,india [33] vaccine,diplomacy [33] diplomacy,role [33] role,strengthening [33] strengthening,humanity [33] humanity,fight [33] fight,against [33] against,pandemic [33] pandemic,appreciation Top Word Pairs in Tweet in G10:
[77] biden,cdc [77] cdc,requires [77] requires,covid [77] covid,tests [77] tests,citizens [77] citizens,return [77] return,country [77] country,abroad [77] abroad,strand [76] bucksexton,biden Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: