The graph represents a network of 8,776 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 Monday, 20 September 2021 at 09:34 UTC.
The requested start date was Monday, 20 September 2021 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, 11-hour, 16-minute period from Thursday, 16 September 2021 at 01:11 UTC to Sunday, 19 September 2021 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 : 8776
Unique Edges : 4741
Edges With Duplicates : 12763
Total Edges : 17504
Number of Edge Types : 5
Mentions : 4307
MentionsInRetweet : 5459
Replies to : 1669
Retweet : 4831
Tweet : 1238
Self-Loops : 1299
Reciprocated Vertex Pair Ratio : 0.0114889172565858
Reciprocated Edge Ratio : 0.0227168425883433
Connected Components : 1176
Single-Vertex Connected Components : 329
Maximum Vertices in a Connected Component : 3824
Maximum Edges in a Connected Component : 10305
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.134631
Graph Density : 0.000113180988294935
Modularity : 0.4995
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,776 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 Monday, 20 September 2021 at 09:34 UTC.
The requested start date was Monday, 20 September 2021 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, 11-hour, 16-minute period from Thursday, 16 September 2021 at 01:11 UTC to Sunday, 19 September 2021 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:
[802] covid,19 [408] #新型コロナウイルス,感染症情報 [396] ibaraki_kouhou,#新型コロナウイルス [381] against,#covid19 [352] vaccinated,against [340] cdcgov,fact [332] fact,vaccinated [332] #covid19,re [332] re,trying [332] trying,pregnant Top Word Pairs in Tweet in G1:
[367] against,#covid19 [342] vaccinated,against [333] cdcgov,fact [327] fact,vaccinated [327] #covid19,re [327] re,trying [327] trying,pregnant [327] pregnant,future [327] future,evidence [327] evidence,date Top Word Pairs in Tweet in G2:
[20] gino_2019_ncov,kocherchristia4 [16] pascalpraud,davidpujadas [16] davidpujadas,24hpujadas [16] 24hpujadas,tf1 [16] tf1,laurenceferrari [16] laurenceferrari,cnews [16] cnews,bfmtvofficiels [16] bfmtvofficiels,c8tv [16] c8tv,brevesdepresse [16] brevesdepresse,anthobdp Top Word Pairs in Tweet in G3:
[397] #新型コロナウイルス,感染症情報 [392] ibaraki_kouhou,#新型コロナウイルス [303] 県独自の非常事態宣言の解除について,新規感染者数の減少や病床稼働数の改善により [303] 新規感染者数の減少や病床稼働数の改善により,県独自の宣言を9月19日 [303] 県独自の宣言を9月19日,日 [303] 日,で解除します [303] で解除します,国の緊急事態宣言は継続となりますので [303] 国の緊急事態宣言は継続となりますので,引き続き営業時間の短縮など [303] 引き続き営業時間の短縮など,対策にご協力をお願いいたします [302] ibaraki_kouhou,県独自の非常事態宣言の解除について Top Word Pairs in Tweet in G4:
[143] covid,19 [121] 2019,ncov [103] cases,increase [103] ncov,recombinomics [103] recombinomics,inc [102] covid,cases [36] 19,vaccines [25] learn,more [18] 19,vaccine [14] chadox1,ncov Top Word Pairs in Tweet in G5:
[97] 感染させるリスクは減らせないんじゃと言う人もいるけど,cdcページ [97] cdcページ,スクショ箇所 [97] スクショ箇所,新コロナワクチンは無症候性の感染や伝播も減少させることを示唆する証拠が増えているとなってて [97] 新コロナワクチンは無症候性の感染や伝播も減少させることを示唆する証拠が増えているとなってて,こんな表現なのは今も調査中だからだけど [96] tokophotoko,感染させるリスクは減らせないんじゃと言う人もいるけど [96] こんな表現なのは今も調査中だからだけど,deepl翻訳等でもわかるの [64] covid19times_pr,練馬区 [63] 詳細,co [56] ワクチン接種をご確認の練馬区の方へ,ファイザー社製のワクチン接種をご希望の方は [56] ファイザー社製のワクチン接種をご希望の方は,練馬区の公式サイトで Top Word Pairs in Tweet in G6:
[106] sanidadgob,actualización [79] actualización,informe [79] informe,actividad [79] actividad,#vacunación [79] #vacunación,españa [79] españa,cuadro [79] cuadro,mando [67] ventilación,natural [67] natural,importante [67] importante,reducir Top Word Pairs in Tweet in G7:
[8] myocarditis,pericarditis [7] covid,19 [5] side,effects [4] long,term [3] chamorritamaraj,nickiminaj [3] nickiminaj,cdc [3] nickiminaj,epidiymo [3] epidiymo,orchitis [3] orchitis,caused [3] caused,inflammatory Top Word Pairs in Tweet in G8:
[44] genetic,sequencing [38] sequencing,used [38] used,identify [38] identify,variants [4] know,variants [4] variants,circulating [3] genomic,surveillance [3] circulating,genetic [3] keithbaldrey,vaccine [2] surveillance,done Top Word Pairs in Tweet in G9:
[162] adverse,events [117] vaccine,adverse [117] events,ontario [117] ontario,sept [117] sept,11 [117] 11,reporting [117] reporting,rate [117] rate,increased [117] increased,ages [117] ages,28 Top Word Pairs in Tweet in G10:
[12] alex_on_a14,wjack76995 [12] wjack76995,burgerlab12 [9] kayvonpaul,alex_on_a14 [8] burgerlab12,bebert701 [7] andylumm,kayvonpaul [6] ghoppe,mdrisette [6] mdrisette,chrisjohnsonmd [6] chrisjohnsonmd,ginapro [6] bat92799926,themarcam [6] themarcam,tampa_egret Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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:
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:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: