The graph represents a network of 5,679 Twitter users whose recent tweets contained "Coronavirus", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/12/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 13 January 2023 at 09:53 UTC.
The tweets in the network were tweeted over the 2060-day, 9-hour, 36-minute period from Tuesday, 23 May 2017 at 15:24 UTC to Friday, 13 January 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 5679
Unique Edges : 2672
Edges With Duplicates : 10051
Total Edges : 12723
Number of Edge Types : 9
Mentions : 620
Retweet : 3400
MentionsInRetweet : 3897
MentionsInReplyTo : 2178
Replies to : 1043
Tweet : 1361
Quote : 99
MentionsInQuoteReply : 85
MentionsInQuote : 40
Self-Loops : 1930
Reciprocated Vertex Pair Ratio : 0.0326431635888827
Reciprocated Edge Ratio : 0.0632225433526012
Connected Components : 1280
Single-Vertex Connected Components : 542
Maximum Vertices in a Connected Component : 1332
Maximum Edges in a Connected Component : 3331
Maximum Geodesic Distance (Diameter) : 32
Average Geodesic Distance : 9.940742
Graph Density : 0.000171683605226699
Modularity : 0.464354
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,679 Twitter users whose recent tweets contained "Coronavirus", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/12/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 13 January 2023 at 09:53 UTC.
The tweets in the network were tweeted over the 2060-day, 9-hour, 36-minute period from Tuesday, 23 May 2017 at 15:24 UTC to Friday, 13 January 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[519] domicilio,lugar [519] ponte,vacuna [519] centro,inmunización [519] trabajo,ponte [519] lugar,trabajo [519] inmunización,cercano [519] acude,centro [519] #prevención,acude [519] cercano,domicilio [505] vacuna,ref Top Word Pairs in Tweet in G1:
[131] covid,19 [42] #coronavirus,#covid19 [38] #covid19,#coronavirus [27] aracılığıyla,#covid19 [27] #mersin,#gaziantep [27] #haber,#sondakika [27] #coronavirus,#corona [27] #kahramanmaraş,#istanbul [27] #corona,#kahramanmaraş [27] memlekettenh,aracılığıyla Top Word Pairs in Tweet in G2:
[511] acude,centro [511] cercano,domicilio [511] #prevención,acude [511] centro,inmunización [511] lugar,trabajo [511] trabajo,ponte [511] domicilio,lugar [511] ponte,vacuna [511] inmunización,cercano [505] vtvcanal8,#prevención Top Word Pairs in Tweet in G3:
[240] more,evidence [240] coronavirus,loans [240] nothing,horrific [240] went,private [240] 157m,went [240] schools,nothing [240] schools,state [240] horrific,more [240] state,schools [240] private,schools Top Word Pairs in Tweet in G4:
[75] pandemic,over [72] over,complacency [72] purposefully,trying [72] trying,alarmist [72] alarmist,face [72] face,pandemic [71] mehdihasanshow,purposefully [35] coronavirus,infections [35] concerned,coronavirus [35] cardiologists,increasingly Top Word Pairs in Tweet in G5:
[144] mio,euro [144] corona,bußgelder [144] hochgerechnet,macht [144] 12,mio [144] hamburg,kassierte [144] allein,hamburg [144] macht,halbe [144] deutschland,hochgerechnet [144] bußgelder,allein [144] euro,deutschland Top Word Pairs in Tweet in G6:
[86] flight,delays [85] trump,under [85] think,forgets [85] under,biden [85] delays,under [85] biden,think [85] under,trump [85] trump's,mishanding [85] jim,jordan [85] jordan,remember Top Word Pairs in Tweet in G7:
[39] die,pandemie [39] ganz,beendet [38] pandemie,ganz [38] warum,die [37] übergang,endemische [37] endemische,phase [37] beendet,übergang [36] c_drosten,erklärt [36] erklärt,warum [36] virologe,c_drosten Top Word Pairs in Tweet in G8:
[66] 34現在,救急をはじめ [66] 今日の死者数が初めて500人を超えて,520人に達しています [66] 報道があまり伝えない状況が続いています,特に救急の悲鳴は [66] 520人に達しています,18 [66] 特に救急の悲鳴は,第7波でもここまでのはなかった気が [66] 医療からは悲痛な叫びを多く見ますが,報道があまり伝えない状況が続いています [66] 18,34現在 [66] 救急をはじめ,医療からは悲痛な叫びを多く見ますが [65] triangle24,今日の死者数が初めて500人を超えて [43] 昨日の感染者数は連休明けで18万5472人,死者数は489人と世界一の増加 Top Word Pairs in Tweet in G9:
[120] contro,coronavirus [120] vaccino,anti [119] proteica,contro [119] primo,coniugato [119] covid,cubano [119] cubano,soberana [119] coronavirus,efficacia [119] base,proteica [119] soberana,primo [119] anti,covid Top Word Pairs in Tweet in G10:
[42] covid,19 [34] cleveland,clinic [17] contracting,covid [17] clinic,workers [17] shot,raises [17] more,recent [17] 2019,covid [17] disease,2019 [17] 19,bivalent [17] risk,more Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: