The graph represents a network of 7,483 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 Wednesday, 11 November 2020 at 09:52 UTC.
The requested start date was Wednesday, 11 November 2020 at 01:01 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, 1-hour, 35-minute period from Friday, 06 November 2020 at 23:25 UTC to Wednesday, 11 November 2020 at 01:00 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 : 7483
Unique Edges : 4009
Edges With Duplicates : 11491
Total Edges : 15500
Number of Edge Types : 5
Retweet : 4953
MentionsInRetweet : 6015
Replies to : 901
Mentions : 2070
Tweet : 1561
Self-Loops : 1601
Reciprocated Vertex Pair Ratio : 0.00634386328327292
Reciprocated Edge Ratio : 0.0126077447574939
Connected Components : 1155
Single-Vertex Connected Components : 492
Maximum Vertices in a Connected Component : 3963
Maximum Edges in a Connected Component : 10019
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.560615
Graph Density : 0.000138833802489063
Modularity : 0.496096
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 7,483 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 Wednesday, 11 November 2020 at 09:52 UTC.
The requested start date was Wednesday, 11 November 2020 at 01:01 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, 1-hour, 35-minute period from Friday, 06 November 2020 at 23:25 UTC to Wednesday, 11 November 2020 at 01:00 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:
[770] covid,19 [572] 2019,ncov [438] spread,#covid19 [418] wear,mask [342] #新型コロナウイルス,感染症情報 [342] 引き続き感染防止にご協力をお願いします,#いばらきアマビエちゃん [337] ibaraki_kouhou,#新型コロナウイルス [300] help,prevent [296] prevent,spread [279] masks,help Top Word Pairs in Tweet in G1:
[280] wear,mask [277] spread,#covid19 [259] masks,help [258] yeah,cdcgov [258] cdcgov,making [258] making,things [258] things,masks [258] help,reduce [258] reduce,inhalation [258] inhalation,droplets Top Word Pairs in Tweet in G2:
[178] covid,19 [41] 2019,ncov [38] wear,mask [23] protect,yourself [23] yourself,others [23] learn,more [21] sars,cov [20] more,information [16] during,covid [15] cdc,guidelines Top Word Pairs in Tweet in G3:
[111] datos,#covid19 [73] transmisión,#covid19 [72] claves,evitar [72] evitar,transmisión [72] #covid19,limpieza [72] limpieza,#desinfección [72] #desinfección,frecuente [72] frecuente,superficies [71] sanidadgob,claves [64] actualización,datos Top Word Pairs in Tweet in G4:
[191] covid,cases [191] cases,increase [191] 2019,ncov [191] ncov,recombinomics [191] recombinomics,inc [105] #covid19,others [103] cdcemergency,#wearamask [97] help,protect [82] spread,#covid19 [67] help,prevent Top Word Pairs in Tweet in G5:
[21] mask,less [21] less,disease [21] disease,vector [21] vector,markmeadows' [21] markmeadows',threat [21] threat,potus [21] potus,realdonaldtrump [21] realdonaldtrump,cdc [21] cdc,firm [21] firm,evidence Top Word Pairs in Tweet in G6:
[155] 2019,ncov [154] población,acerca [154] acerca,coronavirus [154] coronavirus,2019 [149] recomendaciones,población [149] ncov,organización [149] organización,mundial [149] mundial,salud [147] somos_ejercito,recomendaciones [60] salud,#viva Top Word Pairs in Tweet in G7:
[342] #新型コロナウイルス,感染症情報 [342] 引き続き感染防止にご協力をお願いします,#いばらきアマビエちゃん [337] ibaraki_kouhou,#新型コロナウイルス [107] 感染症情報,11月8日 [107] 11月8日,県内で新たに12名が新型コロナウイルスに感染していることが判明しました [107] 県内で新たに12名が新型コロナウイルスに感染していることが判明しました,また [107] また,同感染症患者2名が退院しました [107] 同感染症患者2名が退院しました,引き続き感染防止にご協力をお願いします [106] #いばらきアマビエちゃん,ht [86] 感染症情報,11月7日 Top Word Pairs in Tweet in G8:
[18] esrnewzealand,mathstorey [15] texasdshs,utahdepofhealth [15] utahdepofhealth,dr_kfo [15] dr_kfo,erinyoun [14] nextstrain,gisaid [13] czbiohub,texasdshs [12] thanks,#opendata [12] #opendata,sharing [12] sharing,gisaid [12] gisaid,we've Top Word Pairs in Tweet in G9:
[134] 코로나19,국내 [134] 국내,발생 [134] 발생,현황입니다 [134] 모임이나,행사 [134] 행사,참석 [134] 참석,시 [76] 시,방역수칙을 [76] 방역수칙을,반드시 [75] #11월_8일_0시_기준,#신규확진자_143명 [75] #신규확진자_143명,국내 Top Word Pairs in Tweet in G10:
[114] isabel,díaz [114] díaz,ayuso [114] ayuso,pasó [114] pasó,covid [114] covid,marzo [114] marzo,pasado [114] pasado,meses [114] meses,hacer [114] hacer,cuarentena [113] antoniomaestre,isabel Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: