The graph represents a network of 6,533 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, 08 September 2022 at 10:36 UTC.
The requested start date was Thursday, 08 September 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 4-day, 0-hour, 27-minute period from Saturday, 03 September 2022 at 11:58 UTC to Wednesday, 07 September 2022 at 12:25 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 : 6533
Unique Edges : 5115
Edges With Duplicates : 14093
Total Edges : 19208
Number of Edge Types : 5
Replies to : 2353
Retweet : 4683
MentionsInRetweet : 7149
Mentions : 4388
Tweet : 635
Self-Loops : 696
Reciprocated Vertex Pair Ratio : 0.0309528626340279
Reciprocated Edge Ratio : 0.0600470957613815
Connected Components : 415
Single-Vertex Connected Components : 153
Maximum Vertices in a Connected Component : 4516
Maximum Edges in a Connected Component : 16105
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.642282
Graph Density : 0.000238836435379325
Modularity : 0.440754
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 6,533 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, 08 September 2022 at 10:36 UTC.
The requested start date was Thursday, 08 September 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 4-day, 0-hour, 27-minute period from Saturday, 03 September 2022 at 11:58 UTC to Wednesday, 07 September 2022 at 12:25 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:
[1445] covid,19 [1217] convidecia,air [992] 19,convidecia [986] against,covid [985] first,inhaled [983] china,approved [983] approved,world [983] world,first [983] inhaled,vaccine [983] vaccine,against Top Word Pairs in Tweet in G1:
[152] bfmtv,al_bonnel [82] _2019_ncov,bfmtv [61] _2019_ncov,_samedi_ [56] immortellexiii,_2019_ncov [52] _2019_ncov,unifred6 [47] daviddocquoy,_2019_ncov [46] ah,ah [43] ils,ont [37] _2019_ncov,c'est [32] ils,sont Top Word Pairs in Tweet in G2:
[955] covid,19 [949] convidecia,air [948] very,happy [948] happy,see [948] see,china [948] china,approved [948] approved,world [948] world,first [948] first,inhaled [948] inhaled,vaccine Top Word Pairs in Tweet in G3:
[494] testing,awareness [494] awareness,concert [494] concert,attendees [494] attendees,cdc [494] cdc,guidelines [494] guidelines,asymptomatic [494] asymptomatic,wait [494] wait,days [494] days,before [494] before,testing Top Word Pairs in Tweet in G4:
[199] 最後に,本物のcdcのウェブサイトを貼っておく [199] 本物のcdcのウェブサイトを貼っておく,9月2日の更新でも [199] 9月2日の更新でも,ブースター接種を含めて推奨の回数接種するように [199] ブースター接種を含めて推奨の回数接種するように,と書かれている [199] と書かれている,打たない方が良いなどどこにも書かれていない [199] 打たない方が良いなどどこにも書かれていない,これが正確なcdcの推奨内容 [198] mph_for_doctors,最後に [154] ba,1の時代だけど [154] 1の時代だけど,国立感染研の研究で感染性のあるウイルスの排出は無症状者診断6 [154] 国立感染研の研究で感染性のあるウイルスの排出は無症状者診断6,7日目まで Top Word Pairs in Tweet in G5:
[177] yvespdb,_2019_ncov [169] soldats,ukrainiens [168] _2019_ncov,pendant [168] pendant,soldats [168] ukrainiens,font [168] font,tuer [168] tuer,fils [168] fils,filles [168] filles,politiques [168] politiques,oligarques Top Word Pairs in Tweet in G6:
[104] cdcgov,link [103] needing,free [103] free,n95 [103] n95,mask [103] mask,check [103] check,cdcgov [103] link,below [103] below,enter [103] enter,zip [103] zip,code Top Word Pairs in Tweet in G7:
[225] primera,vacuna [225] vacuna,inhalada [225] inhalada,mundo [220] convidecia,air [216] china,aprueba [216] aprueba,primera [216] mundo,frente [216] frente,covid19 [216] covid19,dosis [216] dosis,refuerzo Top Word Pairs in Tweet in G8:
[53] covid,19 [28] ad5,ncov [12] sars,ncov [10] 19,vaccine [10] 2022,09 [9] learn,more [9] sars,cov [9] cansino,ad5 [8] 2019,ncov [8] 0시,기준 Top Word Pairs in Tweet in G9:
[30] covid,19 [30] 19,vaccine [30] vaccine,adverse [30] adverse,events [30] events,ontario [30] ontario,august [30] august,14 [30] 14,august [30] august,28 [30] 28,total Top Word Pairs in Tweet in G10:
[83] mrna,とスパイクタンパク質は [83] とスパイクタンパク質は,体内で長く居続けません [83] 体内で長く居続けません,というfact説明が [83] というfact説明が,米cdcのhpから削除されてます [83] 米cdcのhpから削除されてます,日本でも [83] 日本でも,安全性の考え方を見直す必要があります [83] 安全性の考え方を見直す必要があります,現在の公開ページ [82] xjr1bqbrppueglj,mrna [82] 現在の公開ページ,以前 [10] covid,19 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: