The graph represents a network of 5,103 Twitter users whose recent tweets contained "NCoV", 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 2/9/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 10 February 2023 at 10:12 UTC.
The tweets in the network were tweeted over the 1122-day, 10-hour, 9-minute period from Tuesday, 14 January 2020 at 14:48 UTC to Friday, 10 February 2023 at 00:57 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 : 5103
Unique Edges : 3030
Edges With Duplicates : 11417
Total Edges : 14447
Number of Edge Types : 9
MentionsInReplyTo : 4323
Replies to : 1782
Retweet : 3308
MentionsInRetweet : 3962
MentionsInQuoteReply : 106
Tweet : 583
Mentions : 169
Quote : 51
MentionsInQuote : 163
Self-Loops : 959
Reciprocated Vertex Pair Ratio : 0.0468986384266263
Reciprocated Edge Ratio : 0.0895953757225433
Connected Components : 487
Single-Vertex Connected Components : 161
Maximum Vertices in a Connected Component : 3273
Maximum Edges in a Connected Component : 9534
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.341986
Graph Density : 0.000265790878041702
Modularity : 0.451237
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,103 Twitter users whose recent tweets contained "NCoV", 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 2/9/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 10 February 2023 at 10:12 UTC.
The tweets in the network were tweeted over the 1122-day, 10-hour, 9-minute period from Tuesday, 14 January 2020 at 14:48 UTC to Friday, 10 February 2023 at 00:57 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 : 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:
[1097] covid,19 [775] spike,protein [758] aaronsirisg,cdc [716] cdc,considers [715] vaccination,mrna [715] considers,spike [715] muscle,cells [715] cells,once [715] enter,muscle [715] harmless,vaccination Top Word Pairs in Tweet in G1:
[753] spike,protein [748] aaronsirisg,cdc [705] once,inside [705] muscle,cells [705] protein,harmless [705] considers,spike [705] cdc,considers [705] cells,once [705] enter,muscle [705] mrna,enter Top Word Pairs in Tweet in G2:
[27] gaz,tur [27] sang,gaz [27] quie,petrole [27] tremblement,terre [27] tur,quie [27] machine,tremblement [27] sismique,réveille [27] terre,l'arme [27] petrole,sy [27] réveille,bon Top Word Pairs in Tweet in G3:
[455] covid,19 [237] myocarditis,#covid19 [237] times,more [237] heart,problems [237] 19,illness [237] #covid19,vaccination [237] problems,times [237] more,covid [237] vaccination,rare [237] rare,heart Top Word Pairs in Tweet in G4:
[108] covid,19 [99] 2019,ncov [82] recombinomics,inc [82] cases,increase [82] ncov,recombinomics [81] covid,cases [20] 19,vaccines [16] learn,more [15] #疫情防控,#covid19 [13] website,updated Top Word Pairs in Tweet in G5:
[59] covid,19 [49] 19,vaccines [47] vaccines,work [46] 병상,가동률 [45] urgent,covid [45] short,summary [45] summary,myocarditis [45] work,short [44] healthbyjames,urgent [28] 보유병상,565개 Top Word Pairs in Tweet in G6:
[8] danohta,freedqben [8] laurasimbell1,_capitaloffense [8] krispi_largo,ziggywilde [8] rjocore1,digimalice [8] skeeduu,krispi_largo [8] jdd2169,wokeninjaet [8] mjb24681,jkoff609 [8] _capitaloffense,johnmor49451893 [8] stupidmaggats,asjah8 [8] vickie627,jeffreysharper1 Top Word Pairs in Tweet in G7:
[66] triangle24,米cdcも感染者のマスク着用は変更してないと思います [65] sixailes,triangle24 [28] 5回目接種の発症予防効果もそろそろなくなって来る頃,安価でデメリット少ないユニバーサルマスクを止めてまで [28] 2020年10月にこういう事例が有りました,感染力という意味では当時より今の方が高くなってますし [28] triangle24,2020年10月にこういう事例が有りました [28] 4回,5回目接種の発症予防効果もそろそろなくなって来る頃 [28] 感染力という意味では当時より今の方が高くなってますし,4回 [27] toshimizu7566,triangle24 [27] 安価でデメリット少ないユニバーサルマスクを止めてまで,リスク [8] 学校,職場もどういう場面だったのか Top Word Pairs in Tweet in G8:
[347] 詳細,co [347] qnzux8c1z3,検査前で症状がある方 [347] co,qnzux8c1z3 [339] ibaraki_kouhou,#新型コロナウイルス感染症情報 [206] 検査前で症状がある方,検査で陽性と [104] 15名,本日の死亡者 [104] うち重症者,15名 [101] 本日の死亡者,3名 [101] 3名,詳細 [84] 検査前で症状がある方,検査で陽 Top Word Pairs in Tweet in G9:
[233] registrados,63 [233] casos,activos [233] fallecidos,registrados [233] diario,#covid_19 [233] informe,diario [233] casos,nuevos [231] #covid_19,febrero [224] ministeriosalud,informe [102] activos,fallecidos [41] 965,casos Top Word Pairs in Tweet in G10:
[11] #magicapp,#3tablets [10] lockstep,#magicapp [9] jikkyleaks,lockstep [3] cdc,fda [3] alarming,information [3] two,years [3] fda,everyone [3] known,two [3] information,cdc [3] everyone,known Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 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: