The graph represents a network of 7,681 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, 21 January 2021 at 12:03 UTC.
The requested start date was Thursday, 21 January 2021 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 2-day, 15-hour, 35-minute period from Sunday, 17 January 2021 at 22:19 UTC to Wednesday, 20 January 2021 at 13:54 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 : 7681
Unique Edges : 3508
Edges With Duplicates : 12681
Total Edges : 16189
Number of Edge Types : 5
Replies to : 835
Mentions : 2219
Retweet : 5282
MentionsInRetweet : 6370
Tweet : 1483
Self-Loops : 1514
Reciprocated Vertex Pair Ratio : 0.0066711140760507
Reciprocated Edge Ratio : 0.0132538104705103
Connected Components : 1187
Single-Vertex Connected Components : 539
Maximum Vertices in a Connected Component : 3427
Maximum Edges in a Connected Component : 8771
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.521162
Graph Density : 0.000127902860955605
Modularity : 0.476282
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 7,681 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, 21 January 2021 at 12:03 UTC.
The requested start date was Thursday, 21 January 2021 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 2-day, 15-hour, 35-minute period from Sunday, 17 January 2021 at 22:19 UTC to Wednesday, 20 January 2021 at 13:54 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:
[1047] covid,19 [438] #新型コロナウイルス,感染症情報 [430] 引き続き,感染症対策にご協力をお願いします [424] ibaraki_kouhou,#新型コロナウイルス [415] うち重症者数,12人 [415] 12人,引き続き [381] 2019,ncov [273] 本日の死亡者数,0名 [273] 0名,本日の退院等回復者数 [273] 感染症対策にご協力をお願いします,#いばら Top Word Pairs in Tweet in G1:
[144] slow,spread [141] spread,#covid19 [139] make,sure [135] over,nose [135] help,slow [134] nose,mouth [132] #wearamask,more [132] more,layers [132] layers,fabric [132] fabric,over Top Word Pairs in Tweet in G2:
[98] datos,#covid19 [98] sanidadgob,actualización [98] covid,19 [87] resumen,documento [87] documento,equidad [87] equidad,salud [87] salud,covid [87] 19,análisis [87] análisis,propuestas [87] propuestas,abordar Top Word Pairs in Tweet in G3:
[239] covid,19 [38] learn,more [38] 2019,ncov [30] sars,cov [27] 19,vaccine [25] 19,vaccines [23] 19,vaccination [17] getting,covid [17] united,states [15] wearing,mask Top Word Pairs in Tweet in G4:
[435] #新型コロナウイルス,感染症情報 [427] 引き続き,感染症対策にご協力をお願いします [421] ibaraki_kouhou,#新型コロナウイルス [412] うち重症者数,12人 [412] 12人,引き続き [271] 本日の死亡者数,0名 [271] 0名,本日の退院等回復者数 [271] 感染症対策にご協力をお願いします,#いばら [145] 感染症情報,1月18日 [143] 本日の死亡者数,1名 Top Word Pairs in Tweet in G5:
[56] nswhpathology,westsydhealth [56] westsydhealth,sydney_uni [50] nextstrain,gisaid [43] south,african [35] ncdcgov,krisp_news [35] krisp_news,rjlessells [35] rjlessells,tuliodna [35] tuliodna,eduanwilkinson [35] eduanwilkinson,nhls_sa [35] build,updated Top Word Pairs in Tweet in G6:
[248] 医療従事者向けとされていますが,ワクチンの基本情報やリンクがよくまとまっています [248] ワクチンの基本情報やリンクがよくまとまっています,本当によい [247] minesoh,医療従事者向けとされていますが [13] アメリカの副作用モニタリング,スマホでv [13] スマホでv,safe [13] safe,2度めのリマインダーも [12] georgebest1969,アメリカの副作用モニタリング [2] toshimabou,昨日知りましたが [2] 昨日知りましたが,今はこの様な状況まで話が進んでいる様です [2] 今はこの様な状況まで話が進んでいる様です,予防効果がある Top Word Pairs in Tweet in G7:
[132] preliminary,investigations [132] investigations,conducted [132] conducted,chinese [132] chinese,authorities [132] authorities,found [132] found,clear [132] clear,evidence [132] evidence,human [132] human,human [132] human,transmission Top Word Pairs in Tweet in G8:
[150] #procicat,acorda [150] acorda,allargar [150] allargar,restriccions [150] restriccions,vigents [150] vigents,catalunya [150] catalunya,15 [150] 15,dies [150] dies,més [150] més,fins [150] fins,febrer Top Word Pairs in Tweet in G9:
[163] covid,19 [155] negative,covid [153] 19,viral [151] viral,test [97] attempting,enter [61] united,states [59] citizens,lprs [56] present,negative [56] lprs,exempt [56] exempt,negative Top Word Pairs in Tweet in G10:
[137] cdc,reporting [137] reporting,122 [137] 122,cases [137] cases,b117 [137] b117,variant [137] variant,20 [137] 20,states [137] states,88 [137] 88,friday's [137] friday's,report 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 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:
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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:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: