The graph represents a network of 7,957 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 Saturday, 10 September 2022 at 09:17 UTC.
The requested start date was Saturday, 10 September 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 2-day, 1-hour, 30-minute period from Wednesday, 07 September 2022 at 10:55 UTC to Friday, 09 September 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 : 7957
Unique Edges : 3792
Edges With Duplicates : 12610
Total Edges : 16402
Number of Edge Types : 5
Retweet : 4799
MentionsInRetweet : 5309
Replies to : 686
Mentions : 3015
Tweet : 2593
Self-Loops : 2731
Reciprocated Vertex Pair Ratio : 0.00594795539033457
Reciprocated Edge Ratio : 0.0118255728011826
Connected Components : 2038
Single-Vertex Connected Components : 982
Maximum Vertices in a Connected Component : 597
Maximum Edges in a Connected Component : 1632
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.169303
Graph Density : 0.000106862091130475
Modularity : 0.459395
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 7,957 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 Saturday, 10 September 2022 at 09:17 UTC.
The requested start date was Saturday, 10 September 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 2-day, 1-hour, 30-minute period from Wednesday, 07 September 2022 at 10:55 UTC to Friday, 09 September 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:
[672] covid,19 [593] policial,não [593] não,gente [592] classe,média [592] média,tinha [592] tinha,ter [592] tv,em [592] em,casa [592] casa,policial [591] ku,klux Top Word Pairs in Tweet in G1:
[171] covid,19 [65] coronavirus,vaccine [60] updated,coronavirus [54] vaccine,booster [50] booster,wait [32] #coronavirus,#covid19 [29] coronavirus,pandemic [28] nuovi,casi [20] 19,booster [17] weakened,immune Top Word Pairs in Tweet in G2:
[432] ku,klux [432] klux,klan [432] klan,classe [432] classe,média [432] média,tinha [432] tinha,ter [432] tv,em [432] em,casa [432] casa,policial [431] uma,tv Top Word Pairs in Tweet in G3:
[110] analysis,death [110] death,toll [110] toll,red [110] red,counties [110] counties,2022 [110] 2022,40 [110] 40,percent [110] percent,higher [110] higher,adjusted [110] adjusted,population Top Word Pairs in Tweet in G4:
[227] ドイツ,商用機内のマスク着用義務を近く撤廃 [210] 商用機内のマスク着用義務を近く撤廃,厳格だったドイツもマスク撤廃ですね [210] 厳格だったドイツもマスク撤廃ですね,政府はマスク残したくても世論が勝ったようですね [210] 政府はマスク残したくても世論が勝ったようですね,日本でも声を上げ [210] 日本でも声を上げ,まずは屋外は素顔で歩きましょう [209] dream21ai,ドイツ [17] 一時はn95まで義務化していたドイツも,ドイツ [17] 商用機内のマスク着用義務を近く撤廃,保健相 [16] miyumotohashi,一時はn95まで義務化していたドイツも Top Word Pairs in Tweet in G5:
[142] estas,estadísticas [142] estadísticas,generales [134] coronavirus,nuestro [132] total,contagios [129] generales,coronavirus [126] delcyrodriguezv,estas [121] nuestro,total [121] contagios,543 [121] 543,383 [121] 383,pacientes Top Word Pairs in Tweet in G6:
[100] leggi,più [96] più,#casaitaliaradio [93] #casaitaliaradio,#webradio [92] #webradio,#radio [92] #radio,#casa [92] #casa,#home [92] #home,#design [92] #design,#politica [92] #politica,#interiordesign [92] #interiordesign,#covid Top Word Pairs in Tweet in G7:
[157] ku,klux [157] klux,klan [157] klan,classe [157] classe,média [157] média,tinha [157] tinha,ter [157] uma,tv [157] tv,em [157] em,casa [157] casa,policial Top Word Pairs in Tweet in G8:
[9] updated,#covid19 [9] original,strain [8] covid,19 [7] yes,updated [7] #covid19,booster [7] booster,provides [7] provides,protection [7] protection,against [7] against,original [7] strain,well Top Word Pairs in Tweet in G9:
[52] どんどん死者が膨らむばかり,今日の感染者数は12万9793人で10万人超えが続く [52] 今日の感染者数は12万9793人で10万人超えが続く,死者は249人と依然高く [52] 死者は249人と依然高く,累計は4万1900人となった [52] 累計は4万1900人となった,2022年に入って2万3494人が亡くなった [52] 2022年に入って2万3494人が亡くなった,何もしない無能のキシダメ統一教会内閣のせいであるが [51] masaru_kaneko,どんどん死者が膨らむばかり [51] 何もしない無能のキシダメ統一教会内閣のせいであるが,何 [48] ba,ba [24] ba,12 [24] ba,75 Top Word Pairs in Tweet in G10:
[59] nu,ineens [59] ineens,privacy [59] privacy,kwestie [59] kwestie,toen [59] toen,iedereen [59] iedereen,2021 [59] 2021,2022 [59] 2022,hun [59] hun,qr [59] qr,moest Top Replied-To in Entire Graph:
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 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: