The graph represents a network of 6,358 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 10 June 2022 at 09:18 UTC.
The requested start date was Friday, 10 June 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 6-day, 19-hour, 8-minute period from Thursday, 02 June 2022 at 17:19 UTC to Thursday, 09 June 2022 at 12:27 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 : 6358
Unique Edges : 5750
Edges With Duplicates : 15748
Total Edges : 21498
Number of Edge Types : 5
Mentions : 6619
MentionsInRetweet : 7229
Replies to : 2446
Retweet : 4330
Tweet : 874
Self-Loops : 913
Reciprocated Vertex Pair Ratio : 0.041495439510875
Reciprocated Edge Ratio : 0.0796843422192282
Connected Components : 571
Single-Vertex Connected Components : 204
Maximum Vertices in a Connected Component : 4172
Maximum Edges in a Connected Component : 17273
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.238174
Graph Density : 0.000257089659938493
Modularity : 0.412252
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,358 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 10 June 2022 at 09:18 UTC.
The requested start date was Friday, 10 June 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 6-day, 19-hour, 8-minute period from Thursday, 02 June 2022 at 17:19 UTC to Thursday, 09 June 2022 at 12:27 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 : NCoV
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:
[818] médicos,investigan [818] investigan,encanta [818] encanta,criticar [818] criticar,hacemos [818] hacemos,tenemos [818] tenemos,hacer [817] rssol64860963,médicos [756] covid,19 [388] うち重症者数,0名 [388] 0名,詳細は Top Word Pairs in Tweet in G1:
[83] juliacerisi,_2019_ncov [64] ont,droit [64] _2019_ncov,jeanmarclegouic [57] eustache_luigy,sd_0101 [52] _2019_ncov,france [52] _2019_ncov,sd_0101 [51] droit,prélever [51] prélever,organes [51] après,mort [50] france,médecins Top Word Pairs in Tweet in G2:
[815] médicos,investigan [815] investigan,encanta [815] encanta,criticar [815] criticar,hacemos [815] hacemos,tenemos [815] tenemos,hacer [814] rssol64860963,médicos [55] chadox1,ncov [55] ncov,19 [51] development,severe Top Word Pairs in Tweet in G3:
[312] covid,19 [279] #covid19,vaccine [226] years,older [149] protected,best [148] vaccine,boosters [147] best,covid [146] vaccine,booster [138] cdc,recommends [131] eligible,#covid19 [131] booster,children Top Word Pairs in Tweet in G4:
[97] cerise_philippe,den_pero [94] fareseljediani,patrickrovit [89] kavuncuromain,bellinarg4 [85] naphtalinelebon,jlambeaux [85] jlambeaux,avocatdupeuple [78] patrickrovit,jeanefbey2 [74] den_pero,yvespdb [72] womandream,josycesarini [72] josycesarini,krieger66362259 [66] jeanefbey2,eclemence Top Word Pairs in Tweet in G5:
[7] alex_on_a14,isthisnetaken [7] isthisnetaken,itisjustmebabe [7] itisjustmebabe,diar380 [7] diar380,realshocks [7] realshocks,756elizabeth [7] covid,19 [6] premierimproves,iiiiii_x_iiiiii [6] fvckyourfear,aspalaasnasntyr [6] aspalaasnasntyr,andylumm [6] 756elizabeth,skepticalprune Top Word Pairs in Tweet in G6:
[307] mask,mandates [156] public,health [156] health,ontario [153] mandates,work [153] work,public [153] ontario,review [153] review,efficacy [153] efficacy,mask [153] mandates,implementation [153] implementation,mask Top Word Pairs in Tweet in G7:
[104] covid,19 [46] àª,ઠ[17] 2022,06 [16] ø,ù [16] sars,cov [15] learn,more [14] ø,ø [12] scholars,portal [11] 19,vaccine [11] ù,ø Top Word Pairs in Tweet in G8:
[49] sars,ncov [47] dgbassani,same [47] same,sars [47] ncov,keep [47] keep,saying [47] saying,flu [47] flu,one [47] one,two [46] deepwokeagent,dgbassani [46] two,immunod Top Word Pairs in Tweet in G9:
[385] うち重症者数,0名 [385] 0名,詳細は [385] 詳細は,co [385] 検査前で症状がある方,検査で陽性と判明した方 [379] ibaraki_kouhou,#新型コロナウイルス感染症情報 [379] 検査で陽性と判明した方,濃厚接 [246] æ,æ [185] co,qnzux8c1z3 [185] qnzux8c1z3,検査前で症状がある方 [125] co,0iqvdzjxwd Top Word Pairs in Tweet in G10:
[48] learn,safety [48] safety,effectiveness [48] effectiveness,covid [48] covid,vaccines [48] vaccines,rely [48] rely,social [48] social,media [48] media,go [48] go,reliable [48] reliable,sources Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: