The graph represents a network of 5,971 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 Thursday, 09 June 2022 at 10:38 UTC.
The requested start date was Thursday, 09 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, 9-hour, 1-minute period from Thursday, 02 June 2022 at 03:24 UTC to Wednesday, 08 June 2022 at 12:26 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 : 5971
Unique Edges : 5503
Edges With Duplicates : 16160
Total Edges : 21663
Number of Edge Types : 5
Replies to : 2589
Tweet : 861
Retweet : 4202
MentionsInRetweet : 7336
Mentions : 6675
Self-Loops : 903
Reciprocated Vertex Pair Ratio : 0.047319587628866
Reciprocated Edge Ratio : 0.0903632247268432
Connected Components : 547
Single-Vertex Connected Components : 206
Maximum Vertices in a Connected Component : 3870
Maximum Edges in a Connected Component : 17516
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.148889
Graph Density : 0.000284989958445159
Modularity : 0.375964
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,971 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 Thursday, 09 June 2022 at 10:38 UTC.
The requested start date was Thursday, 09 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, 9-hour, 1-minute period from Thursday, 02 June 2022 at 03:24 UTC to Wednesday, 08 June 2022 at 12:26 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:
[740] médicos,investigan [740] investigan,encanta [740] encanta,criticar [740] criticar,hacemos [740] hacemos,tenemos [740] tenemos,hacer [739] rssol64860963,médicos [707] covid,19 [690] æ,æ [330] æ,œæÿ Top Word Pairs in Tweet in G1:
[116] cerise_philippe,den_pero [108] kavuncuromain,bellinarg4 [108] patrickrovit,jeanefbey2 [101] naphtalinelebon,jlambeaux [101] jlambeaux,avocatdupeuple [99] fareseljediani,patrickrovit [92] den_pero,yvespdb [89] womandream,josycesarini [89] josycesarini,krieger66362259 [89] jeanefbey2,eclemence Top Word Pairs in Tweet in G2:
[738] médicos,investigan [738] investigan,encanta [738] encanta,criticar [738] criticar,hacemos [738] hacemos,tenemos [738] tenemos,hacer [737] rssol64860963,médicos [50] chadox1,ncov [50] ncov,19 [46] development,severe Top Word Pairs in Tweet in G3:
[289] covid,19 [235] #covid19,vaccine [207] years,older [137] protected,best [135] best,covid [134] vaccine,boosters [113] vaccine,booster [101] cdcgov,cdc [99] 19,sta [98] cdc,recommends Top Word Pairs in Tweet in G4:
[65] _2019_ncov,babibelle33 [61] emmanuelboronad,_2019_ncov [56] oui,mais [54] babibelle33,oui [54] mais,plus [54] plus,grands [54] monde,sont [54] comme,complotistes [51] grands,pidã [51] pidã,miologistes Top Word Pairs in Tweet in G5:
[6] alex_on_a14,isthisnetaken [6] isthisnetaken,itisjustmebabe [6] itisjustmebabe,diar380 [6] diar380,realshocks [6] realshocks,756elizabeth [6] 756elizabeth,skepticalprune [6] skepticalprune,shocktraumanp [6] shocktraumanp,kcgetaway7 [6] kcgetaway7,randomurban [5] premierimproves,iiiiii_x_iiiiii Top Word Pairs in Tweet in G6:
[315] mask,mandates [157] mandates,work [157] work,public [157] public,health [157] health,ontario [157] ontario,review [157] review,efficacy [157] efficacy,mask [157] mandates,implementation [157] implementation,mask Top Word Pairs in Tweet in G7:
[111] covid,19 [46] àª,ઠ[24] æ,ÿæÿ [20] learn,more [17] ãƒ,ペã [17] 2022,06 [16] sars,cov [16] ø,ù [16] scholars,portal [15] ãƒ,æ Top Word Pairs in Tweet in G8:
[45] josycesarini,olivierfente [45] olivierfente,aragon_jb [45] aragon_jb,liviu_balea [45] liviu_balea,niusmarco [45] niusmarco,p_duval [45] p_duval,verity_france [45] verity_france,crashdebug_fr [45] crashdebug_fr,bugaultv [39] sitting_bull_d,josycesarini [35] bugaultv,victor Top Word Pairs in Tweet in G9:
[544] æ,æ [316] うち重症者数,0名 [316] 0名,詳細は [316] 詳細は,co [316] 検査前で症状がある方,検査で陽性と判明した方 [311] ibaraki_kouhou,#新型コロナウイルス感染症情報 [311] 検査で陽性と判明した方,濃厚接 [266] æ,œæÿ [198] co,0iqvdzjxwd [169] æ,ÿæÿ 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:
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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:
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:
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Top Tweeters in G5:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: