The graph represents a network of 8,240 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, 30 November 2021 at 12:18 UTC.
The requested start date was Tuesday, 30 November 2021 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 3-day, 16-hour, 44-minute period from Thursday, 25 November 2021 at 19:40 UTC to Monday, 29 November 2021 at 12:24 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 : 8240
Unique Edges : 5079
Edges With Duplicates : 12056
Total Edges : 17135
Number of Edge Types : 5
Retweet : 5005
MentionsInRetweet : 6754
Tweet : 867
Replies to : 1802
Mentions : 2707
Self-Loops : 906
Reciprocated Vertex Pair Ratio : 0.0193216423395989
Reciprocated Edge Ratio : 0.0379107860306995
Connected Components : 942
Single-Vertex Connected Components : 313
Maximum Vertices in a Connected Component : 5206
Maximum Edges in a Connected Component : 13308
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 8.260596
Graph Density : 0.000142982641167924
Modularity : 0.547757
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,240 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, 30 November 2021 at 12:18 UTC.
The requested start date was Tuesday, 30 November 2021 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 3-day, 16-hour, 44-minute period from Thursday, 25 November 2021 at 19:40 UTC to Monday, 29 November 2021 at 12:24 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:
[718] sars,cov [530] オミクロンだろうが何だろうが,コロナにかかる確率を減らす方策は [530] コロナにかかる確率を減らす方策は,ワクチン [530] ワクチン,マスク [530] マスク,密を避ける [530] 密を避ける,換気 [530] 換気,手指衛生 [530] 手指衛生,体調悪い時に人と会わない [530] 体調悪い時に人と会わない,体調悪い人と会わない [530] 体調悪い人と会わない,です Top Word Pairs in Tweet in G1:
[34] ado,15 [34] 15,ans [32] ah,ah [29] gino_2019_ncov,el_dic_tator [26] stephjeremiem7,gino_2019_ncov [24] cette,année [24] blemontmarc,gino_2019_ncov [23] poulin2012,olivierveran [22] sont,décédés [22] el_dic_tator,secretwar_ Top Word Pairs in Tweet in G2:
[511] オミクロンだろうが何だろうが,コロナにかかる確率を減らす方策は [511] コロナにかかる確率を減らす方策は,ワクチン [511] ワクチン,マスク [511] マスク,密を避ける [511] 密を避ける,換気 [511] 換気,手指衛生 [511] 手指衛生,体調悪い時に人と会わない [511] 体調悪い時に人と会わない,体調悪い人と会わない [511] 体調悪い人と会わない,です [511] です,特別な何かがあるわけでもなく Top Word Pairs in Tweet in G3:
[480] オミクロン株に嘆息,スパイク蛋白質に32か所の変異 [480] スパイク蛋白質に32か所の変異,mrnaワクチンも既存の抗原検査試薬も全て無にしかねないほど強烈 [480] mrnaワクチンも既存の抗原検査試薬も全て無にしかねないほど強烈,ワクチン接種 [480] ワクチン接種,経済再開のシナリオを嘲笑うかのよう [480] 経済再開のシナリオを嘲笑うかのよう,検査 [480] 検査,保護 [480] 保護,経済再開 [480] 経済再開,へ転換を [479] koichi_kawakami,オミクロン株に嘆息 [479] へ転換を,#空港検疫をpcrに戻して Top Word Pairs in Tweet in G4:
[443] work,lab [413] timrunshismouth,work [413] lab,majority [413] majority,labs [413] labs,testing [413] testing,sars [413] sars,cov [413] cov,zero [413] zero,capability [413] capability,telling Top Word Pairs in Tweet in G5:
[147] 21k,omicron [139] south,africa [137] focal,build [135] given,mutational [135] mutational,profile [135] profile,alongside [135] alongside,quickly [135] quickly,increasing [135] increasing,frequency [135] frequency,south Top Word Pairs in Tweet in G6:
[155] years,older [142] everyone,ages [126] ages,years [125] older,eligible [117] covid,19 [98] #covid19,vaccines [96] eligible,free [96] free,#covid19 [96] #covid19,vaccine [96] vaccine,find Top Word Pairs in Tweet in G7:
[63] covid,19 [57] sars,cov [41] cov,2の変異株b [38] 529系統,オミクロン株 [36] オミクロン株,について [35] 2の変異株b,529系統 [33] について,第２報 [21] gent,gran [20] residències,gent [19] certificat,covid Top Word Pairs in Tweet in G8:
[105] sars,cov [104] cov,2の変異株b [102] 2の変異株b,529系統 [102] 529系統,オミクロン株 [71] 国立感染研よりオミクロン株について第2報,各国の症例についての経緯や [71] 各国の症例についての経緯や,sgtfなどオミクロン株の特徴についても細かく記載されている [70] sukunabikona7,国立感染研よりオミクロン株について第2報 [52] オミクロン株,について [52] について,第２報 [51] 過去最も多様性があり,感染 Top Word Pairs in Tweet in G9:
[189] 150,million [189] million,190 [189] 190,million [189] covid,survived [189] survived,natural [118] natural,immunity [116] between,150 [116] million,americans [116] americans,covid [115] kylenabecker,between Top Word Pairs in Tweet in G10:
[3] bill20538001,kathmarval [3] markmcdougall13,nyob7714 [3] nyob7714,browningneelyn [3] browningneelyn,kayvonpaul [3] kayvonpaul,alex_on_a14 [3] alex_on_a14,wendyorent [3] wendyorent,will_holliday1 [3] will_holliday1,nateweymouth [3] nateweymouth,fineandbrennan [3] fineandbrennan,johnbee888 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 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: