The graph represents a network of 7,666 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, 28 November 2020 at 11:18 UTC.
The requested start date was Saturday, 28 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 2-day, 10-hour, 13-minute period from Wednesday, 25 November 2020 at 14:47 UTC to Saturday, 28 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 : 7666
Unique Edges : 3642
Edges With Duplicates : 11180
Total Edges : 14822
Number of Edge Types : 5
Retweet : 4926
MentionsInRetweet : 5385
Replies to : 883
Mentions : 1989
Tweet : 1639
Self-Loops : 1665
Reciprocated Vertex Pair Ratio : 0.00345970880784201
Reciprocated Edge Ratio : 0.00689556098261744
Connected Components : 1386
Single-Vertex Connected Components : 684
Maximum Vertices in a Connected Component : 2923
Maximum Edges in a Connected Component : 7061
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 5.12576
Graph Density : 0.000118465163906876
Modularity : 0.482622
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 7,666 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, 28 November 2020 at 11:18 UTC.
The requested start date was Saturday, 28 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 2-day, 10-hour, 13-minute period from Wednesday, 25 November 2020 at 14:47 UTC to Saturday, 28 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:
[1070] covid,19 [445] cdcgov,#covid19 [342] #covid19,cases [340] 2019,ncov [325] 感染拡大市町村の皆さまへ,#土浦市 [325] #土浦市,#つくば市 [325] #つくば市,#つくばみらい市 [325] #つくばみらい市,#牛久市 [325] #牛久市,#取手市 [325] #取手市,#境町 Top Word Pairs in Tweet in G1:
[419] cdcgov,#covid19 [399] covid,19 [268] #covid19,cases [245] #covid19,vaccines [214] virus,causes [214] causes,covid [213] vaccines,currently [213] currently,development [213] development,use [213] use,live Top Word Pairs in Tweet in G2:
[200] covid,19 [131] 2019,ncov [111] covid,cases [110] recombinomics,inc [109] cases,increase [109] ncov,recombinomics [44] happy,thanksgiving [38] stay,safe [36] learn,more [34] loved,ones Top Word Pairs in Tweet in G3:
[324] 感染拡大市町村の皆さまへ,#土浦市 [324] #土浦市,#つくば市 [324] #つくば市,#つくばみらい市 [324] #つくばみらい市,#牛久市 [324] #牛久市,#取手市 [324] #取手市,#境町 [324] #境町,#阿見町 [324] #阿見町,#かすみがうら市 [321] ibaraki_kouhou,感染拡大市町村の皆さまへ [296] #茨城県,からの緊急メッセージ Top Word Pairs in Tweet in G4:
[137] #thanksgiving,holiday [96] stay,safe [95] wear,mask [90] keep,gatherings [90] gatherings,small [81] safe,#thanksgiving [81] holiday,wear [81] mask,rethink [81] rethink,traveling [81] traveling,keep Top Word Pairs in Tweet in G5:
[115] datos,#covid19 [59] #covid19,españa [59] españa,primer [59] primer,caso [59] caso,inicial [59] inicial,actualizados [59] actualizados,hoy [59] noviembre,confirmados [56] actualización,datos [55] #covid19,infografías Top Word Pairs in Tweet in G6:
[172] 米国の公的機関であるcdcは,フェイスシールドはマスクの代用にはならない [172] フェイスシールドはマスクの代用にはならない,と明言しています [172] と明言しています,厚生労働省は推奨があいまいですが [172] 厚生労働省は推奨があいまいですが,最も効果があるのはマスク [172] 最も効果があるのはマスク,としています [172] としています,フェイスシールドをつけて会食 [172] フェイスシールドをつけて会食,等はオススメできませんので [171] mph_for_doctors,米国の公的機関であるcdcは [3] 一応ソースぶら下げておきますね,感染者の発生状況及び報道発表資料など新型コロナ情報まとめ [3] 感染者の発生状況及び報道発表資料など新型コロナ情報まとめ,茨城県 Top Word Pairs in Tweet in G7:
[27] infection,fatality [27] 20,49 [26] 19,years [25] years,00003 [25] 00003,20 [24] fatality,ratio [24] ratio,19 [21] 50,69 [21] senseless,lockdowns [21] lockdowns,need Top Word Pairs in Tweet in G8:
[142] アメリカ疾病予防管理センターが,レベル4 [142] レベル4,渡航延期勧告 [142] 渡航延期勧告,を新設し [142] を新設し,日本を含む多くの国を [142] 日本を含む多くの国を,レベル4 [142] レベル4,に引き上げ [142] に引き上げ,出発1 [142] 出発1,3日前 [142] 3日前,帰国時3 [142] 帰国時3,5日以内に新型コロナウイルスの検査を受けることを推奨 Top Word Pairs in Tweet in G9:
[20] daily,infographic [20] infographic,provides [20] provides,quick [20] quick,view [20] view,current [20] current,coronavirus [20] coronavirus,#covid19 [20] #covid19,situation [20] situation,australia [17] healthgovau,daily Top Word Pairs in Tweet in G10:
[15] survival,rates [15] 20,49 [15] 50,69 [15] 70,94 [13] 19,99 [13] 99,997 [13] 997,20 [13] 49,99 [13] 99,98 [13] 98,50 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 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: