The graph represents a network of 8,731 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 Tuesday, 17 August 2021 at 11:15 UTC.
The requested start date was Tuesday, 17 August 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 4-day, 7-hour, 24-minute period from Thursday, 12 August 2021 at 04:59 UTC to Monday, 16 August 2021 at 12:23 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 : 8731
Unique Edges : 3802
Edges With Duplicates : 12179
Total Edges : 15981
Number of Edge Types : 5
Retweet : 5607
MentionsInRetweet : 6010
Replies to : 937
Mentions : 2248
Tweet : 1179
Self-Loops : 1219
Reciprocated Vertex Pair Ratio : 0.0050024402147389
Reciprocated Edge Ratio : 0.00995508073327668
Connected Components : 1309
Single-Vertex Connected Components : 437
Maximum Vertices in a Connected Component : 4027
Maximum Edges in a Connected Component : 9664
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.789435
Graph Density : 0.0001080664373092
Modularity : 0.525299
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 8,731 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 Tuesday, 17 August 2021 at 11:15 UTC.
The requested start date was Tuesday, 17 August 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 4-day, 7-hour, 24-minute period from Thursday, 12 August 2021 at 04:59 UTC to Monday, 16 August 2021 at 12:23 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:
[1347] covid,19 [756] san,diego [753] diego,county [751] county,covid [751] find,vaccination [751] vaccination,site [750] 19,hospitalizations [750] hospitalizations,find [749] sandiegocounty,san [422] #新型コロナウイルス,感染症情報 Top Word Pairs in Tweet in G1:
[416] #新型コロナウイルス,感染症情報 [410] ibaraki_kouhou,#新型コロナウイルス [362] 急激な入院患者の増加に伴い,病床がひっ迫しており [362] 病床がひっ迫しており,県では [362] 県では,県内全ての病院に対し [362] 県内全ての病院に対し,不急の入院 [358] 茨城県非常事態宣言,31まで [358] 31まで,急激な入院患者の増加に伴い [358] 不急の入院,手術の延期などによる最大限の病床確保を要請しました [358] 手術の延期などによる最大限の病床確保を要請しました,命を救うため Top Word Pairs in Tweet in G2:
[753] covid,19 [746] san,diego [746] diego,county [746] county,covid [746] 19,hospitalizations [746] hospitalizations,find [746] find,vaccination [746] vaccination,site [745] sandiegocounty,san [4] county,vaccination Top Word Pairs in Tweet in G3:
[170] august,national [170] national,forecasts [170] forecasts,predict [167] cdcgov,august [131] 000,#covid19 [116] covid,19 [110] pregnant,people [97] predict,600 [97] 600,33 [97] 33,000 Top Word Pairs in Tweet in G4:
[91] covid,19 [31] ncov,19 [30] 2019,ncov [27] chadox1,ncov [19] 令和3年8月16日発表,茨城県非常事態宣言について [18] 茨城県非常事態宣言について,茨城県 [15] 19,vaccines [14] 19,vaccine [13] high,risk [13] shielding,approach Top Word Pairs in Tweet in G5:
[209] 金,まで [209] 予約開始日時,本日 [207] nerima_tokyo,住民接種担当課です [157] まで,土日祝日除く [154] 住民接種担当課です,練馬光が丘病院でのワクチン接種予約を受け付けます [154] 練馬光が丘病院でのワクチン接種予約を受け付けます,接種日 [154] 接種日,9月13日 [154] 9月13日,月 [154] 月,から10月1日 [154] から10月1日,金 Top Word Pairs in Tweet in G6:
[112] #covid19,vaccine [111] vaccine,during [111] during,pregnancy [110] evidence,suggests [110] suggests,benefits [110] benefits,receiving [110] receiving,#covid19 [110] pregnancy,outweighs [110] outweighs,known [110] known,potential Top Word Pairs in Tweet in G7:
[131] frente,#covid19 [125] vacunación,frente [116] pauta,completa [115] personas,pauta [114] españa,supera [114] supera,29 [114] 29,millones [114] millones,personas [114] completa,vacunación [114] #covid19,nuestro Top Word Pairs in Tweet in G8:
[113] risk,people [112] holy,shit [112] shit,cdc [112] cdc,actually [112] actually,put [112] put,together [112] together,document [112] document,discuss [112] discuss,putting [112] putting,high Top Word Pairs in Tweet in G9:
[122] の広島県内の感染状況,本日の感染者はコチラ [122] information,multiple [122] multiple,languages [122] languages,covid [122] covid,19 [118] hiroshima_pref,本日 [75] 本日の感染者はコチラ,co [75] co,aynlaejjmp [75] aynlaejjmp,information [48] お盆休みに広島に帰省される方へ,デルタ株が拡大中の首都圏や関西圏からの来訪者が増えると Top Word Pairs in Tweet in G10:
[39] 現時点で,世界最大規模のワクチン接種データを保有する米国cdcは [39] 世界最大規模のワクチン接種データを保有する米国cdcは,12歳以上の妊婦を含む全ての人に接種を推奨する [39] 12歳以上の妊婦を含む全ての人に接種を推奨する,としています [39] としています,大変心強い発信です [39] 大変心強い発信です,あとは医療者の正しい理解と [38] dashige1,現時点で [38] あとは医療者の正しい理解と,日本での接種体制整 [20] cdcの妊婦への接種推奨が公言されました,新型コロナワクチンは妊婦 [20] 新型コロナワクチンは妊婦,妊娠を希望している人 [20] 妊娠を希望している人,将来妊娠の可能性のある人も含めた12歳以上の人全員に推奨されています Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: