The graph represents a network of 11,397 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 Tuesday, 12 July 2022 at 10:57 UTC.
The requested start date was Tuesday, 12 July 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 4-day, 0-hour, 2-minute period from Thursday, 07 July 2022 at 12:17 UTC to Monday, 11 July 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 : 11397
Unique Edges : 6510
Edges With Duplicates : 11275
Total Edges : 17785
Number of Edge Types : 5
Retweet : 5189
MentionsInRetweet : 5993
Tweet : 2924
Mentions : 2326
Replies to : 1353
Self-Loops : 2954
Reciprocated Vertex Pair Ratio : 0.00540306894315971
Reciprocated Edge Ratio : 0.0107480653482373
Connected Components : 3135
Single-Vertex Connected Components : 890
Maximum Vertices in a Connected Component : 2142
Maximum Edges in a Connected Component : 4405
Maximum Geodesic Distance (Diameter) : 49
Average Geodesic Distance : 17.511203
Graph Density : 7.16352387844886E-05
Modularity : 0.589373
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 11,397 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 Tuesday, 12 July 2022 at 10:57 UTC.
The requested start date was Tuesday, 12 July 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 4-day, 0-hour, 2-minute period from Thursday, 07 July 2022 at 12:17 UTC to Monday, 11 July 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:
[1401] covid,19 [448] î,î [259] long,covid [202] contra,covid [148] during,covid [141] manuelrico,hoy [138] boris,johnson [110] ãƒ,ム[106] positive,covid [96] gobierno,ayuso Top Word Pairs in Tweet in G1:
[184] covid,19 [57] î,î [22] 19,cases [17] long,covid [16] blind,spot [16] ba,variant [16] variant,becomes [15] cases,leave [15] leave,blind [15] spot,ba Top Word Pairs in Tweet in G2:
[63] boris,johnson [48] johnson,dead [48] dead,journalists [48] journalists,eulogising [48] eulogising,tragic [48] tragic,hero [48] hero,1st [48] 1st,pm [48] pm,found [48] found,guilty Top Word Pairs in Tweet in G3:
[13] leading,cause [13] cause,death [13] covid,19 [11] dr,david [11] david,berger [9] 19,become [9] become,leading [9] death,australia [9] australia,urgent [9] urgent,call Top Word Pairs in Tweet in G4:
[28] covid,wave [26] giant,summer [26] summer,covid [26] masks,work [22] working,well [22] yes,wear [22] wear,n95 [22] n95,still [22] still,covid [22] covid,especially Top Word Pairs in Tweet in G5:
[22] rappel,d'un [22] d'un,fait [22] fait,ème [22] ème,vague [22] vague,#covid [22] #covid,signe [22] signe,l'échec [22] l'échec,vaccination [22] vaccination,masse [22] masse,france Top Word Pairs in Tweet in G6:
[141] manuelrico,hoy [96] gobierno,ayuso [96] trasladar,hospital [96] hospital,residentes [84] días,gobierno [84] ayuso,aprobó [84] aprobó,protocolo [84] protocolo,impedía [84] impedía,trasladar [81] residentes,vulnerab Top Word Pairs in Tweet in G7:
[22] covid,19 [17] million,doses [16] doses,novavax [14] 2022,07 [14] 07,07 [14] 07,latest [14] latest,covid [14] covid,insights [14] insights,analytics [14] government,secures Top Word Pairs in Tweet in G8:
[35] very,mild [35] mild,case [35] case,covid [30] covid,memorial [30] memorial,wall [30] wall,london [30] london,takes [30] takes,full [30] full,10 [30] 10,minutes Top Word Pairs in Tweet in G9:
[22] zero,covid [22] jeremy,hunt [21] hunt,praised [21] praised,china [21] china,barbaric [21] barbaric,zero [21] covid,policies [21] policies,wanted [21] wanted,uk [21] uk,implement Top Word Pairs in Tweet in G10:
[2] lordbutters22,followu65058072 [2] followu65058072,jamesca45920153 [2] jamesca45920153,gmarshall1965 [2] gmarshall1965,cassidytruehero [2] cassidytruehero,thereseosulliv2 [2] thereseosulliv2,mtstringer1 [2] mtstringer1,tomdoubting [2] tomdoubting,tastymorsel6 [2] tastymorsel6,liewbob [2] liewbob,mjb24681 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
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:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: