The graph represents a network of 7,803 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, 15 August 2022 at 09:37 UTC.
The requested start date was Monday, 15 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, 11-minute period from Thursday, 11 August 2022 at 11:12 UTC to Sunday, 14 August 2022 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 : 7803
Unique Edges : 3604
Edges With Duplicates : 12497
Total Edges : 16101
Number of Edge Types : 5
Retweet : 5652
MentionsInRetweet : 6347
Mentions : 1631
Tweet : 1982
Replies to : 489
Self-Loops : 2130
Reciprocated Vertex Pair Ratio : 0.00313397753982763
Reciprocated Edge Ratio : 0.00624837281957823
Connected Components : 1626
Single-Vertex Connected Components : 707
Maximum Vertices in a Connected Component : 1155
Maximum Edges in a Connected Component : 3650
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.662534
Graph Density : 0.000126184714645308
Modularity : 0.508288
NodeXL Version : 1.0.1.502
Data Import : The graph represents a network of 7,803 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, 15 August 2022 at 09:37 UTC.
The requested start date was Monday, 15 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, 11-minute period from Thursday, 11 August 2022 at 11:12 UTC to Sunday, 14 August 2022 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 : 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:
[946] 아니,저기 [946] 저기,간만에 [946] 간만에,찾아봤더니 [946] 찾아봤더니,우리 [946] 우리,나라 [946] 나라,현재 [946] 현재,코로나 [946] 코로나,발병률 [946] 발병률,세계 [946] 세계,1위 Top Word Pairs in Tweet in G1:
[946] 아니,저기 [946] 저기,간만에 [946] 간만에,찾아봤더니 [946] 찾아봤더니,우리 [946] 우리,나라 [946] 나라,현재 [946] 현재,코로나 [946] 코로나,발병률 [946] 발병률,세계 [946] 세계,1위 Top Word Pairs in Tweet in G2:
[106] covid,19 [27] #coronavirus,#covid19 [23] क,र [18] र,न [18] coronavirus,covid [17] coronavirus,cases [16] #code,ailsa30 [16] need,#covidtest [15] nuovi,casi [14] #covid19,#coronavirus Top Word Pairs in Tweet in G3:
[308] repthomasmassie,cdcgov [308] cdcgov,quietly [308] quietly,deleting [308] deleting,misleading [308] misleading,information [308] information,website [308] website,following [308] following,statement [308] statement,removed [307] removed,thei Top Word Pairs in Tweet in G4:
[107] 詳細は下記urlより,#新型コロナウイルス [92] #新型コロナウイルス,#covid19 [55] 日本は一見死亡が少なく見えますが,感染研による超過死亡と著しく矛盾しており [55] 感染研による超過死亡と著しく矛盾しており,過小評価と分かります [55] 過小評価と分かります,この過小分の多くが [55] この過小分の多くが,老衰 [55] 老衰,です [55] です,死んでも調べない [55] 死んでも調べない,故に日本は死亡者数が6倍の過小評価とランセット論文 [55] 故に日本は死亡者数が6倍の過小評価とランセット論文,で酷評されています Top Word Pairs in Tweet in G5:
[615] desta,coronavirus [615] coronavirus,pandemic [615] pandemic,conflict [615] conflict,region [599] region,medical [270] medical,staff [61] jj1sba2nrr54dyc,desta [59] krohanaa,desta [58] aezebaezeb2,desta [58] medical,sta Top Word Pairs in Tweet in G6:
[135] étude,canadienne [111] covid,19 [95] vaccins,contre [95] contre,covid [95] 19,sont [95] sont,sans [95] sans,danger [95] danger,pendant [95] pendant,grossesse [95] grossesse,confirme Top Word Pairs in Tweet in G7:
[59] 何もしないで死を待つのみ,今日の感染者数は16万8826人 [59] 今日の感染者数は16万8826人,重症者数は639人に増加 [59] 重症者数は639人に増加,今日も死者数は210人と4日連続200人超え [59] 今日も死者数は210人と4日連続200人超え,この1週間で1500人も死ぬ [59] この1週間で1500人も死ぬ,累計の死者数は3万4806人 [58] co,iltyqcnt7s [58] masaru_kaneko,何もしないで死を待つのみ [58] 累計の死者数は3万4806人,2022年に入って1万6400人も死んでいるの [55] 毎日200人の命が,昨日の新規感染者数は世界一 [55] 昨日の新規感染者数は世界一,死者数は世界3位 Top Word Pairs in Tweet in G8:
[57] semana,126 [57] 126,día [57] día,881 [57] 881,coronavirus [57] coronavirus,nuestro [57] nuestro,estas [57] estas,estadísticas [57] estadísticas,generales [57] generales,total [55] delcyrodriguezv,semana Top Word Pairs in Tweet in G9:
[66] leggi,più [61] più,#casaitaliaradio [57] #casaitaliaradio,#webradio [52] #webradio,#radio [50] #radio,#casa [50] #casa,#home [49] #home,#design [48] #design,#politica [48] #politica,#interiordesign [48] #interiordesign,#covid Top Word Pairs in Tweet in G10:
[6] longish,thread [6] thread,beginning [6] beginning,uk [6] uk,vaccination [6] vaccination,programme [6] programme,according [6] according,mhra [6] mhra,yellow [6] yellow,card [6] card,adverse 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 G6:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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:
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Top Tweeters in G3:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: