The graph represents a network of 10,937 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 Thursday, 19 May 2022 at 09:27 UTC.
The requested start date was Thursday, 19 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 Monday, 16 May 2022 at 12:16 UTC to Wednesday, 18 May 2022 at 12:20 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 : 10937
Unique Edges : 6152
Edges With Duplicates : 11524
Total Edges : 17676
Number of Edge Types : 5
Retweet : 5328
MentionsInRetweet : 6192
Mentions : 2205
Replies to : 1079
Tweet : 2872
Self-Loops : 2934
Reciprocated Vertex Pair Ratio : 0.00632139292447599
Reciprocated Edge Ratio : 0.0125633678642275
Connected Components : 3056
Single-Vertex Connected Components : 969
Maximum Vertices in a Connected Component : 1003
Maximum Edges in a Connected Component : 2133
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 8.246014
Graph Density : 7.5865104653713E-05
Modularity : 0.576488
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 10,937 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 Thursday, 19 May 2022 at 09:27 UTC.
The requested start date was Thursday, 19 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 Monday, 16 May 2022 at 12:16 UTC to Wednesday, 18 May 2022 at 12:20 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:
[2216] covid,19 [554] positive,covid [369] tested,positive [311] taeil,tested [257] fever,asymptomatic [222] long,covid [178] concert,22 [177] nagoya,concert [172] 19,asymptomatic [171] asymptomatic,performing Top Word Pairs in Tweet in G1:
[268] covid,19 [23] long,covid [15] covid,test [15] 19,pandemic [15] free,covid [13] during,covid [13] positive,covid [12] due,covid [11] north,korea [11] covid,cases Top Word Pairs in Tweet in G2:
[475] positive,covid [475] covid,19 [313] tested,positive [303] taeil,tested [249] fever,asymptomatic [172] concert,22 [171] asymptomatic,performing [171] nagoya,concert [170] 19,asymptomatic [170] performing,during Top Word Pairs in Tweet in G3:
[57] year,old [55] old,referred [55] referred,cardiologist [55] cardiologist,experiencing [55] experiencing,frequent [55] frequent,episodes [55] episodes,syncope [55] syncope,following [55] following,covid [54] perpetualwinger,year Top Word Pairs in Tweet in G4:
[26] vaccin,anti [26] anti,covid [24] covid,descente [24] descente,aux [24] aux,enfers [24] enfers,d'eloïse [23] france3paris,vaccin [17] médecin,m'a [17] m'a,permis [17] permis,guérir Top Word Pairs in Tweet in G5:
[55] long,covid [37] bank,england [19] sold,removal [19] removal,mitigations [19] mitigations,vital [19] vital,protect [19] protect,economy [19] economy,bank [19] england,sounding [19] sounding,alarm Top Word Pairs in Tweet in G6:
[14] covid,19 [14] map,one [14] covid,transmission [13] screenshot,cdc [13] cdc,website [13] website,current [13] current,covid [13] transmission,map [13] one,used [12] stephtaitwrites,screenshot Top Word Pairs in Tweet in G7:
[119] manuelrico,hoy [109] días,gobierno [109] gobierno,ayuso [109] ayuso,aprobó [109] aprobó,protocolo [109] protocolo,impedía [109] impedía,trasladar [109] trasladar,hospital [109] hospital,residentes [103] residentes,vulnerab Top Word Pairs in Tweet in G8:
[22] long,covid [17] getting,covid [15] many,people [15] people,getting [15] covid,realize [15] realize,qualify [15] qualify,paxlovid [15] paxlovid,asking [15] asking,everyone [15] everyone,65 Top Word Pairs in Tweet in G9:
[21] covid,19 [17] コロナワクチン接種後３日以内の死亡データの一部を抜粋しました,元データは厚労省発表のものです [17] 元データは厚労省発表のものです,河野太郎さん [17] 河野太郎さん,コロナ信者 [17] コロナ信者,反ワクアンチの皆さん [17] 反ワクアンチの皆さん,これを [17] これを,安全 [17] 安全,と言い切る理由を教えて下さい [17] と言い切る理由を教えて下さい,私個人は [17] 私個人は,事件 Top Word Pairs in Tweet in G10:
[38] covid,izninde [35] covid,19 [31] covid,iznindeki [29] iznindeki,ve [29] ve,kapalıda [29] kapalıda,kalanları [29] kalanları,eşitlemek [29] eşitlemek,ve [29] ve,cezaevlerindeki [29] cezaevlerindeki,doluluğu Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: