The graph represents a network of 7,853 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 Saturday, 10 April 2021 at 10:13 UTC.
The requested start date was Saturday, 10 April 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 2-day, 9-hour, 0-minute period from Wednesday, 07 April 2021 at 04:37 UTC to Friday, 09 April 2021 at 13:37 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 : 7853
Unique Edges : 3024
Edges With Duplicates : 12132
Total Edges : 15156
Number of Edge Types : 5
Retweet : 5440
MentionsInRetweet : 5903
Tweet : 1431
Mentions : 1631
Replies to : 751
Self-Loops : 1469
Reciprocated Vertex Pair Ratio : 0.00499583680266445
Reciprocated Edge Ratio : 0.00994200497100249
Connected Components : 1244
Single-Vertex Connected Components : 530
Maximum Vertices in a Connected Component : 3478
Maximum Edges in a Connected Component : 8284
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.479235
Graph Density : 0.000117447190443295
Modularity : 0.4935
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 7,853 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 Saturday, 10 April 2021 at 10:13 UTC.
The requested start date was Saturday, 10 April 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 2-day, 9-hour, 0-minute period from Wednesday, 07 April 2021 at 04:37 UTC to Friday, 09 April 2021 at 13:37 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:
[1040] covid,19 [418] side,effects [339] #covid19,vaccines [321] noves,mesures [297] #新型コロナウイルス,感染症情報 [293] ibaraki_kouhou,#新型コロナウイルス [265] mesures,contenció [260] #covid19,vaccine [260] surface,transmission [256] 2019,ncov Top Word Pairs in Tweet in G1:
[357] side,effects [303] #covid19,vaccines [222] #covid19,vaccine [220] cdcgov,people [207] cdcgov,#covid19 [204] covid,19 [202] getting,#covid19 [184] effects,getting [173] usually,go [173] go,away Top Word Pairs in Tweet in G2:
[215] covid,19 [50] learn,more [48] 19,vaccine [45] sars,cov [43] fully,vaccinated [34] noves,mesures [32] 2019,ncov [27] mesures,contenció [24] fins,19 [24] 19,d'abril Top Word Pairs in Tweet in G3:
[238] covid,19 [237] noves,mesures [202] mesures,contenció [184] contenció,covid [180] 19,aplicables [180] aplicables,tot [177] els,canvis [176] catalunya,partir [175] tot,catalunya [175] canvis,afecten Top Word Pairs in Tweet in G4:
[65] datos,#covid19 [55] frente,#covid19 [47] descrito,gran [47] gran,número [47] número,síntomas [47] síntomas,asociados [47] asociados,#covid19 [47] #covid19,persistente [47] persistente,pueden [47] pueden,afectar Top Word Pairs in Tweet in G5:
[218] cdc,guidance [218] guidance,admits [218] admits,fomite [218] fomite,surface [218] surface,transmission [218] transmission,#sarscov2 [218] #sarscov2,very [218] very,rare [218] rare,low [218] low,glad Top Word Pairs in Tweet in G6:
[212] cdc,reforçando [212] reforçando,risco [212] risco,transmissão [212] transmissão,superficies [212] superficies,muito [212] muito,baixo [212] baixo,eles [212] eles,também [212] também,citaram [212] citaram,quão Top Word Pairs in Tweet in G7:
[295] #新型コロナウイルス,感染症情報 [291] ibaraki_kouhou,#新型コロナウイルス [217] また,県衛生研究所で変異株のpcr検査を行ったところ [190] うち重症者数,3人 [190] 3人,また [112] 感染症情報,4月8日 [112] 4月8日,本日の新規陽性者数 [112] 本日の新規陽性者数,39人 [112] 39人,本日の死亡者数 [112] 本日の死亡者数,1人 Top Word Pairs in Tweet in G8:
[118] variant,proportions [118] proportions,state [118] state,available [118] available,cdc [118] cdc,website [118] website,variant [118] variant,concern [118] concern,voc [118] voc,estimated [117] cyrusshahpar46,variant Top Word Pairs in Tweet in G9:
[58] 空港検疫所における新型コロナウイルス感染症,新規変異株 [58] 新規変異株,の積極的疫学調査 [58] の積極的疫学調査,第1報 [51] pcr2回陰性確認が撤廃された根拠は国立感染研の解析結果です,以下をご参照ください [51] 以下をご参照ください,空港検疫所における新型コロナウイルス感染症 [50] earl_covid19_tw,pcr2回陰性確認が撤廃された根拠は国立感染研の解析結果です [36] sars,cov [35] 感染,伝播性の増加や抗原性の変化が懸念される [35] 伝播性の増加や抗原性の変化が懸念される,新型コロナウイルス [35] 新型コロナウイルス,sars Top Word Pairs in Tweet in G10:
[2] laurie_garrett,york [2] york,michigan [2] michigan,florida [2] florida,pennsylvania [2] pennsylvania,jersey [2] jersey,together [2] together,reported [2] reported,44 [2] 44,nation's [2] nation's,#covid19 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 G5:
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: