The graph represents a network of 11,184 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, 20 May 2022 at 07:55 UTC.
The requested start date was Friday, 20 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, 17 May 2022 at 12:16 UTC to Thursday, 19 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 : 11184
Unique Edges : 6515
Edges With Duplicates : 11518
Total Edges : 18033
Number of Edge Types : 5
Retweet : 5304
MentionsInRetweet : 6196
Tweet : 2959
Replies to : 1090
Mentions : 2484
Self-Loops : 3022
Reciprocated Vertex Pair Ratio : 0.00593375768691337
Reciprocated Edge Ratio : 0.0117975117975118
Connected Components : 3121
Single-Vertex Connected Components : 1044
Maximum Vertices in a Connected Component : 1313
Maximum Edges in a Connected Component : 3016
Maximum Geodesic Distance (Diameter) : 29
Average Geodesic Distance : 9.725697
Graph Density : 7.45498513032696E-05
Modularity : 0.581175
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 11,184 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, 20 May 2022 at 07:55 UTC.
The requested start date was Friday, 20 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, 17 May 2022 at 12:16 UTC to Thursday, 19 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:
[2126] covid,19 [622] positive,covid [434] tested,positive [311] taeil,tested [257] fever,asymptomatic [191] long,covid [178] concert,22 [177] nagoya,concert [172] 19,asymptomatic [171] asymptomatic,performing Top Word Pairs in Tweet in G1:
[294] covid,19 [27] long,covid [18] positive,covid [13] covid,cases [13] contra,covid [11] covid,test [11] covid,deaths [11] well,soon [11] #19may,prevención [11] prevención,tener Top Word Pairs in Tweet in G2:
[476] positive,covid [476] covid,19 [314] tested,positive [304] taeil,tested [250] fever,asymptomatic [172] concert,22 [171] asymptomatic,performing [171] nagoya,concert [170] 19,asymptomatic [170] performing,during Top Word Pairs in Tweet in G3:
[39] covid,positive [39] court,tomorrow [38] special,minister [38] minister,state [38] state,ben [38] ben,morton [36] monique,ryan [36] positive,australians [31] legal,challenge [30] ryan,lodge Top Word Pairs in Tweet in G4:
[32] long,covid [29] bank,england [28] covid,wrong [25] year,old [24] old,referred [24] referred,cardiologist [24] cardiologist,experiencing [24] experiencing,frequent [24] frequent,episodes [24] episodes,syncope Top Word Pairs in Tweet in G5:
[29] doug,ford [28] leader,gt [26] covid,19 [17] party,leaders [17] pretend,covid [15] tested,positive [14] covid,done [14] gt,covid [13] covid,know [13] positive,covid Top Word Pairs in Tweet in G6:
[5] ready,monkey [5] monkey,pox [5] pox,covid [5] covid,people [5] people,infected [5] infected,uk [5] uk,expect [5] expect,reboot [5] reboot,2020 [5] cutmanscurse,offgriddesigner Top Word Pairs in Tweet in G7:
[19] pass,sanitaire [15] commission,européenne [15] européenne,consulté [15] consulté,citoyens [15] citoyens,projet [15] projet,extension [15] extension,pass [15] sanitaire,sera [15] sera,voté [15] voté,par Top Word Pairs in Tweet in G8:
[14] covid,19 [8] ça,sort [8] sort,enfin [8] enfin,presse [8] presse,inefficacité [8] inefficacité,toxicité [8] toxicité,injections [8] injections,frauduleusement [8] frauduleusement,appelés [8] appelés,vaccins Top Word Pairs in Tweet in G9:
[114] manuelrico,hoy [96] días,gobierno [96] gobierno,ayuso [96] ayuso,aprobó [96] aprobó,protocolo [96] protocolo,impedía [96] impedía,trasladar [96] trasladar,hospital [96] hospital,residentes [92] residentes,vulnerab Top Word Pairs in Tweet in G10:
[13] long,covid [11] third,americans [10] covid,19 [9] americans,live [8] north,korea [8] tested,positive [8] one,third [7] breaking,news [7] official,japan [7] japan,mistakenly Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G6:
Top Replied-To in G7:
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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 G5:
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Top Tweeters in G9:
Top Tweeters in G10: