The graph represents a network of 7,775 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 22 August 2022 at 09:34 UTC.
The requested start date was Monday, 22 August 2022 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 3-day, 1-hour, 1-minute period from Thursday, 18 August 2022 at 11:23 UTC to Sunday, 21 August 2022 at 12:25 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 : 7775
Unique Edges : 4032
Edges With Duplicates : 11604
Total Edges : 15636
Number of Edge Types : 5
Retweet : 5119
MentionsInRetweet : 5727
Mentions : 1786
Replies to : 670
Tweet : 2334
Self-Loops : 2475
Reciprocated Vertex Pair Ratio : 0.00580357142857143
Reciprocated Edge Ratio : 0.0115401686640036
Connected Components : 1915
Single-Vertex Connected Components : 897
Maximum Vertices in a Connected Component : 1370
Maximum Edges in a Connected Component : 3013
Maximum Geodesic Distance (Diameter) : 33
Average Geodesic Distance : 9.189995
Graph Density : 0.000111824640962496
Modularity : 0.477717
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 7,775 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 22 August 2022 at 09:34 UTC.
The requested start date was Monday, 22 August 2022 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 3-day, 1-hour, 1-minute period from Thursday, 18 August 2022 at 11:23 UTC to Sunday, 21 August 2022 at 12:25 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 : Coronavirus
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:
[906] covid,19 [343] 詳細は下記urlより,#新型コロナウイルス [312] #covid19,#covid_19 [301] #新型コロナウイルス,#covid19 [278] #covid_19,#covidー19 [277] enfermedades,respiratorias [275] #prevención,conoce [275] conoce,principal [275] principal,objetivo [275] objetivo,plan Top Word Pairs in Tweet in G1:
[145] covid,19 [31] 感染者マップ,nhk特設サイト [28] 新型コロナウイルス,都道府県別の感染者数 [28] 都道府県別の感染者数,感染者マップ [27] र,न [26] coronavirus,pandemic [25] क,र [22] coronavirus,cases [21] #coronavirus,#covid19 [18] prime,minister Top Word Pairs in Tweet in G2:
[274] #prevención,conoce [274] conoce,principal [274] principal,objetivo [274] objetivo,plan [274] plan,nacional [274] nacional,vacunación [274] vacunación,enfermedades [274] enfermedades,respiratorias [274] respiratorias,agudas [262] vtvcanal8,#prevención Top Word Pairs in Tweet in G3:
[85] leggi,più [78] più,#casaitaliaradio [72] #casaitaliaradio,#webradio [70] #webradio,#radio [69] #radio,#casa [69] #casa,#home [69] #home,#design [69] #design,#politica [69] #politica,#interiordesign [69] #interiordesign,#covid Top Word Pairs in Tweet in G4:
[32] vaccinated,against [31] covid,19 [30] months,older [30] older,vaccinated [28] against,#covid19 [27] children,months [21] #cdc,recommends [21] recommends,children [21] #covid19,reasons [21] reasons,child Top Word Pairs in Tweet in G5:
[339] 詳細は下記urlより,#新型コロナウイルス [298] #新型コロナウイルス,#covid19 [67] 5人死亡,詳細は下記urlより [65] 2人死亡,詳細は下記urlより [40] 1日あたり過去最多,2人死亡 [33] 5人死亡,北海道 [26] 1日あたり過去最多,5人死亡 [25] 1日あたり過去最多,詳細は下記urlより [25] 北海道で新たに8632人感染確認,5人死亡 [25] 北海道,8632 Top Word Pairs in Tweet in G6:
[45] 本当に何もしないキシダメ,今日の感染者数は26万1029人と26万人を超え [45] 今日の感染者数は26万1029人と26万人を超え,過去最多 [45] 過去最多,死者数も292人と連日300人弱が続く [45] 死者数も292人と連日300人弱が続く,累計で3万6594人となった [45] 累計で3万6594人となった,キシダメの無恥無能のせいで [45] キシダメの無恥無能のせいで,2022年に入って1万8188人死んだ [44] masaru_kaneko,本当に何もしないキシダメ [44] 2022年に入って1万8188人死んだ,大阪は30人死 [28] 死んでいくのを見過ごすだけ,今日の感染者数は22万6171人と休日なのに高止まり [28] 今日の感染者数は22万6171人と休日なのに高止まり,死者も226人と200人超え Top Word Pairs in Tweet in G7:
[92] event,201 [91] world,economic [91] economic,forum [91] forum,bill [91] bill,melinda [91] melinda,gates [91] gates,foundation [91] foundation,hosted [91] hosted,event [91] 201,high Top Word Pairs in Tweet in G8:
[44] surfer,ironwoman [44] ironwoman,star [44] star,lily [44] lily,finati [44] finati,18 [44] 18,hospitalized [44] hospitalized,february [44] february,2022 [44] 2022,pericarditis [44] pericarditis,basically Top Word Pairs in Tweet in G9:
[10] draseemmalhotra,marksteynonline [10] marksteynonline,gbnews [10] covid,vaccine [10] vaccine,mandates [10] trial,data [9] alanvibe,draseemmalhotra [9] gbnews,pfizer [9] pfizer,moderna [9] moderna,knew [9] knew,pfizer Top Word Pairs in Tweet in G10:
[117] 東亜産業,全国145の自治体へ新型コロナ抗原検査キットを無料提供 [117] 全国145の自治体へ新型コロナ抗原検査キットを無料提供,寄付合計数は12万個超え [117] 寄付合計数は12万個超え,厚労省未承認の精度不明の抗原検査キットをこのようにばら撒かれるのは迷惑です [116] earl_covid19_tw,東亜産業 [116] 厚労省未承認の精度不明の抗原検査キットをこのようにばら撒かれるのは迷惑です,145の自治体を公 Top Replied-To in Entire Graph:
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 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: