The graph represents a network of 5,055 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 2/14/2023 5:00:35 PM. The network was obtained from Twitter on Wednesday, 15 February 2023 at 09:48 UTC.
The tweets in the network were tweeted over the 1127-day, 13-hour, 40-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Wednesday, 15 February 2023 at 00:58 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 : 5055
Unique Edges : 3383
Edges With Duplicates : 13647
Total Edges : 17030
Number of Edge Types : 9
Retweet : 3140
MentionsInRetweet : 4382
Quote : 54
Tweet : 628
Replies to : 1957
MentionsInReplyTo : 6246
MentionsInQuoteReply : 320
Mentions : 148
MentionsInQuote : 155
Self-Loops : 1134
Reciprocated Vertex Pair Ratio : 0.0480067377877597
Reciprocated Edge Ratio : 0.0916153227966783
Connected Components : 540
Single-Vertex Connected Components : 167
Maximum Vertices in a Connected Component : 2879
Maximum Edges in a Connected Component : 11947
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 7.257727
Graph Density : 0.000292234568930526
Modularity : 0.409118
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,055 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 2/14/2023 5:00:35 PM. The network was obtained from Twitter on Wednesday, 15 February 2023 at 09:48 UTC.
The tweets in the network were tweeted over the 1127-day, 13-hour, 40-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Wednesday, 15 February 2023 at 00:58 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:
[715] covid,19 [611] spike,protein [597] aaronsirisg,cdc [578] muscle,cells [578] cdc,considers [576] vaccination,mrna [576] considers,spike [576] cells,once [576] enter,muscle [576] harmless,vaccination Top Word Pairs in Tweet in G1:
[53] didiercoquard2,partageinfos [53] partageinfos,csapeforce [53] csapeforce,belmehelzine [52] gerardfiloche,didiercoquard2 [51] belmehelzine,crashdebug_fr [43] alainsebil,gerardfiloche [39] crashdebug_fr,sitting_bull_d [32] didiermaisto,zemmoureric [32] jlmelenchon,didiermaisto [31] zemmoureric,j_bardella Top Word Pairs in Tweet in G2:
[593] spike,protein [589] aaronsirisg,cdc [568] vaccination,mrna [568] cells,once [568] protein,harmless [568] considers,spike [568] cdc,considers [568] inside,use [568] mrna,enter [568] once,inside Top Word Pairs in Tweet in G3:
[155] covid,19 [90] myocarditis,#covid19 [90] times,more [90] heart,problems [90] 19,illness [90] #covid19,vaccination [90] problems,times [90] more,covid [90] vaccination,rare [90] rare,heart Top Word Pairs in Tweet in G4:
[98] covid,19 [97] 2019,ncov [81] recombinomics,inc [81] cases,increase [81] ncov,recombinomics [80] covid,cases [22] website,updated [22] updated,visit [22] english,website [15] sars,cov Top Word Pairs in Tweet in G5:
[415] 詳細,co [415] qnzux8c1z3,検査前で症状がある方 [415] co,qnzux8c1z3 [405] ibaraki_kouhou,#新型コロナウイルス感染症情報 [258] 検査前で症状がある方,検査で陽性 [161] 2名,詳細 [161] 本日の死亡者,2名 [160] うち重症者,14名 [160] 14名,本日の死亡者 [110] 詳細データについてはこちらからご覧ください,県ホームページの更新は翌日 Top Word Pairs in Tweet in G6:
[7] covid,19 [5] pouldeau61,skepticalmutant [5] influenza,pneumonia [4] april,2020 [4] non,influenza [4] pneumonia,deaths [4] including,covid [3] increase,non [3] driven,primarily [3] involve,pneumonia Top Word Pairs in Tweet in G7:
[129] 달,사이 [129] 사람은,11명이라고 [129] 33,758명이고 [129] 오늘,코로나19로 [129] 인한,사망 [129] 계시나요,오늘 [129] 758명이고,2020년에 [129] 코로나19로,사망한 [129] 11명이라고,해요 [129] 사망한,사람은 Top Word Pairs in Tweet in G8:
[282] casos,activos [282] fallecidos,registrados [282] diario,#covid_19 [282] informe,diario [282] casos,nuevos [272] ministeriosalud,informe [201] registrados,63 [116] activos,fallecidos [112] #covid_19,febrero [81] registrados,64 Top Word Pairs in Tweet in G9:
[67] 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 [66] sixailes,triangle24 [27] triangle24,2020年10月にこういう事例が有りました [27] 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 [27] 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] 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 [27] 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 [26] 一般人が論文読まないと思って嘘ばかりついてるけど,covid予防におけるマスクの有効性を示すデータは続々と出てるんだよな [26] 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 [26] toshimizu7566,triangle24 Top Word Pairs in Tweet in G10:
[37] 19,hospitalizations [37] diego,county [37] san,diego [37] vaccination,site [37] county,covid [37] hospitalizations,find [37] covid,19 [37] find,vaccination [36] profidokamdphd,san [29] 小児はかかっても大丈夫じゃね,とはなかなか言いづらく Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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:
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: