The graph represents a network of 7,788 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 Friday, 25 November 2022 at 10:08 UTC.
The requested start date was Friday, 25 November 2022 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, 2-hour, 7-minute period from Monday, 21 November 2022 at 10:18 UTC to Wednesday, 23 November 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 : 7788
Unique Edges : 3289
Edges With Duplicates : 11463
Total Edges : 14752
Number of Edge Types : 5
Retweet : 4996
MentionsInRetweet : 5343
Tweet : 2474
Replies to : 587
Mentions : 1352
Self-Loops : 2578
Reciprocated Vertex Pair Ratio : 0.00485208952887776
Reciprocated Edge Ratio : 0.00965732087227414
Connected Components : 1940
Single-Vertex Connected Components : 994
Maximum Vertices in a Connected Component : 840
Maximum Edges in a Connected Component : 1962
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.05882
Graph Density : 0.000105861711362405
Modularity : 0.485512
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 7,788 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 Friday, 25 November 2022 at 10:08 UTC.
The requested start date was Friday, 25 November 2022 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, 2-hour, 7-minute period from Monday, 21 November 2022 at 10:18 UTC to Wednesday, 23 November 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:
[789] covid,19 [235] coronavirus,pandemic [218] coronavirus,cases [202] #covid19,#covid_19 [199] violent,protests [198] #apple,plant [198] #foxconn's,#apple [197] zhengzhou,workers [197] #china's,zhengzhou [197] workers,engaged Top Word Pairs in Tweet in G1:
[199] covid,19 [52] #coronavirus,#covid19 [46] coronavirus,disease [37] disease,covid [36] #economia,#arredamento [36] #arredamento,#governo [36] #politicaitaliana,#coronavirus [36] più,#casaitaliaradio [36] #casa,#home [36] #governo,#politicaitaliana Top Word Pairs in Tweet in G2:
[190] #apple,plant [190] #china's,zhengzhou [190] plant,#china's [190] workers,engaged [190] zhengzhou,workers [190] violent,protests [190] #foxconn's,#apple [143] violent,clashes [143] engaged,violent [142] erupt,#foxconn's Top Word Pairs in Tweet in G3:
[128] control,world's [128] vandana,shiva [128] bill,gates [128] world's,seed [128] discusses,billionaire [128] take,control [128] billionaire,bill [128] dr,vandana [128] gates,managed [128] shiva,discusses Top Word Pairs in Tweet in G4:
[66] habe,gerade [66] impfpflicht,ende [66] ende,jahres [66] einrichtungsbezogene,impfpflicht [66] #tagesschau,habe [66] ausläuft,weil [66] gesagt,die [66] die,einrichtungsbezogene [66] gerade,gesagt [66] jahres,ausläuft Top Word Pairs in Tweet in G5:
[150] weißen,haus [150] fragen,fauci [150] reporter,revolte [150] revolte,weißen [150] coronavirus,disrespectful [150] alle,fragen [150] fauci,laborursprung [150] laborursprung,coronavirus [150] haus,alle [149] disrespectful,unhö Top Word Pairs in Tweet in G6:
[55] europa,verliest [55] verliest,vertrouwen [55] nederlanders,voorop [55] met,nederlanders [55] vertrouwen,vaccinaties [55] vaccinaties,met [35] hartvnl,europa [31] herhaaldelijk,gewaarschuwd [31] ik,daar [31] gewaarschuwd,zowel Top Word Pairs in Tweet in G7:
[123] covid,19 [123] contra,covid [119] 19,pfizer [119] bivalentes,vacina [119] versões,bivalentes [119] vacina,contra [119] unanimidade,uso [119] emergencial,duas [119] duas,versões [119] uso,emergencial Top Word Pairs in Tweet in G8:
[76] em,aeroportos [56] máscaras,em [55] mil,idosos [55] atraso,governo [55] bolsonaro,vacinação [55] governo,bolsonaro [55] 47,mil [55] vacinação,causou [55] causou,morte [55] morte,47 Top Word Pairs in Tweet in G9:
[74] pelos,voos [74] querem,impor [74] impor,focinheira [74] novo,começando [74] voos,aeroportos [74] começando,pelos [74] focinheira,novo [73] rafaelfontana,querem [27] segundo,estudo [27] proteção,contra Top Word Pairs in Tweet in G10:
[81] contre,multiplication [81] espèces,différentes [81] efficace,contre [81] multiplication,espèces [81] coronavirus,donc [81] donc,l'essaie [81] l'hydroxychloroquine,efficace [81] différentes,coronavirus [80] dover63a,l'hydroxychloroquine [12] compris,qu'ils Top Replied-To in Entire Graph:
Top Replied-To in G3:
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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 G4:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: