The graph represents a network of 11,051 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 Monday, 30 May 2022 at 08:43 UTC.
The requested start date was Monday, 30 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 3-day, 0-hour, 3-minute period from Thursday, 26 May 2022 at 12:15 UTC to Sunday, 29 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 : 11051
Unique Edges : 6469
Edges With Duplicates : 11165
Total Edges : 17634
Number of Edge Types : 5
MentionsInRetweet : 6009
Mentions : 2145
Replies to : 1312
Retweet : 5034
Tweet : 3134
Self-Loops : 3178
Reciprocated Vertex Pair Ratio : 0.00676725094297759
Reciprocated Edge Ratio : 0.0134435261707989
Connected Components : 3177
Single-Vertex Connected Components : 928
Maximum Vertices in a Connected Component : 1930
Maximum Edges in a Connected Component : 4225
Maximum Geodesic Distance (Diameter) : 43
Average Geodesic Distance : 16.627928
Graph Density : 7.4316077126576E-05
Modularity : 0.580538
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 11,051 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 Monday, 30 May 2022 at 08:43 UTC.
The requested start date was Monday, 30 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 3-day, 0-hour, 3-minute period from Thursday, 26 May 2022 at 12:15 UTC to Sunday, 29 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:
[1636] covid,19 [226] long,covid [184] manuelrico,hoy [154] during,covid [147] días,gobierno [147] gobierno,ayuso [147] ayuso,aprobó [147] aprobó,protocolo [147] protocolo,impedía [147] impedía,trasladar Top Word Pairs in Tweet in G1:
[349] covid,19 [84] pandemi,covid [79] puan,maharani [72] kader,pdip [72] pdip,bersama [72] bersama,puan [53] puan,peduli [53] peduli,wong [53] wong,cilik [38] maharani,kader Top Word Pairs in Tweet in G2:
[72] 2200,personnalités [72] personnalités,espagnoles [42] d'après,médias [42] médias,anglais [42] anglais,plus [42] plus,2200 [42] espagnoles,type [42] type,artistes [42] artistes,stars [42] stars,foot Top Word Pairs in Tweet in G3:
[184] manuelrico,hoy [147] días,gobierno [147] gobierno,ayuso [147] ayuso,aprobó [147] aprobó,protocolo [147] protocolo,impedía [147] impedía,trasladar [147] trasladar,hospital [146] hospital,residentes [139] residentes,vulnerab Top Word Pairs in Tweet in G4:
[87] california,governor [87] governor,gavin [87] gavin,newsom [87] newsom,tested [87] tested,positive [87] covid,shots [50] double,masked [50] masked,california [50] positive,receiving [50] receiving,covid Top Word Pairs in Tweet in G5:
[38] breaking,report [37] sued,over [35] chuckcallesto,breaking [28] report,18 [28] 18,major [28] major,airlines [28] airlines,faa [28] faa,dot [28] dot,sued [28] over,covid Top Word Pairs in Tweet in G6:
[16] ragesheen,people [15] covid,19 [14] virus,cause [13] people,know [13] know,little [13] little,zero [13] zero,knowledge [13] knowledge,covid [13] covid,systemic [13] systemic,virus Top Word Pairs in Tweet in G7:
[32] covid,19 [31] doug,ford [15] yesterday,day [15] day,campaign [15] campaign,doug [15] ford,rich [15] rich,donors [14] stevendelduca,yesterday [14] donors,famil [10] breaking,premier Top Word Pairs in Tweet in G8:
[12] families,covid [12] bren4bassetlaw,ll [12] ll,tell [12] tell,auntie [12] auntie,iris [12] iris,little [12] little,joke [12] joke,see [12] see,likes [12] likes,husband Top Word Pairs in Tweet in G9:
[17] health,condition [15] recap,yesterday [15] yesterday,cdcgov [15] cdcgov,acknowledged [15] acknowledged,people [15] people,develop [15] develop,health [15] condition,#longcovid [14] loscharlos,recap [14] #longcovid,af Top Word Pairs in Tweet in G10:
[35] covid,remains [35] remains,more [34] thread,covid [34] more,serious [34] serious,threat [34] threat,flu [34] flu,society [34] society,based [34] based,mainly [33] chrischirp,thread Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G6:
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:
Top Mentioned in G2:
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Top Mentioned in G9:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G9:
Top Tweeters in G10: