The graph represents a network of 4,998 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 2/15/2023 5:00:35 PM. The network was obtained from Twitter on Thursday, 16 February 2023 at 11:32 UTC.
The tweets in the network were tweeted over the 1128-day, 13-hour, 38-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Thursday, 16 February 2023 at 00:56 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 : 4998
Unique Edges : 3576
Edges With Duplicates : 13781
Total Edges : 17357
Number of Edge Types : 9
MentionsInReplyTo : 6503
Replies to : 2061
Tweet : 671
MentionsInQuoteReply : 328
Retweet : 3039
MentionsInRetweet : 4391
Mentions : 164
Quote : 55
MentionsInQuote : 145
Self-Loops : 1209
Reciprocated Vertex Pair Ratio : 0.0514603616133519
Reciprocated Edge Ratio : 0.0978835978835979
Connected Components : 579
Single-Vertex Connected Components : 175
Maximum Vertices in a Connected Component : 2472
Maximum Edges in a Connected Component : 11107
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.719491
Graph Density : 0.00030270262998135
Modularity : 0.40542
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,998 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 2/15/2023 5:00:35 PM. The network was obtained from Twitter on Thursday, 16 February 2023 at 11:32 UTC.
The tweets in the network were tweeted over the 1128-day, 13-hour, 38-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Thursday, 16 February 2023 at 00:56 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:
[742] covid,19 [437] 詳細,co [437] co,qnzux8c1z3 [427] ibaraki_kouhou,#新型コロナウイルス感染症情報 [388] qnzux8c1z3,検査前で症状がある方 [355] spike,protein [341] aaronsirisg,cdc [328] muscle,cells [328] cdc,considers [326] vaccination,mrna Top Word Pairs in Tweet in G1:
[56] didiercoquard2,partageinfos [56] partageinfos,csapeforce [56] csapeforce,belmehelzine [55] gerardfiloche,didiercoquard2 [54] belmehelzine,crashdebug_fr [46] alainsebil,gerardfiloche [41] crashdebug_fr,sitting_bull_d [33] didiermaisto,zemmoureric [33] jlmelenchon,didiermaisto [32] zemmoureric,j_bardella Top Word Pairs in Tweet in G2:
[340] spike,protein [336] aaronsirisg,cdc [320] cdc,considers [320] inside,use [320] muscle,cells [320] protein,harmless [320] vaccination,mrna [320] once,inside [320] considers,spike [320] mrna,enter Top Word Pairs in Tweet in G3:
[172] covid,19 [71] weakened,immune [65] very,sick [64] 19,booster [63] updated,covid [62] more,covid [61] myocarditis,#covid19 [61] sick,#covid19 [61] times,more [61] heart,problems Top Word Pairs in Tweet in G4:
[201] 달,사이 [201] 사람은,11명이라고 [201] 33,758명이고 [201] 오늘,코로나19로 [201] 인한,사망 [201] 계시나요,오늘 [201] 758명이고,2020년에 [201] 코로나19로,사망한 [201] 11명이라고,해요 [201] 사망한,사람은 Top Word Pairs in Tweet in G5:
[105] covid,19 [101] 2019,ncov [84] cases,increase [84] recombinomics,inc [84] ncov,recombinomics [83] covid,cases [23] english,website [23] website,updated [23] updated,visit [17] sars,cov Top Word Pairs in Tweet in G6:
[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 [40] covid,19 [38] 19,hospitalizations [38] diego,county [38] san,diego [38] vaccination,site [38] county,covid [38] hospitalizations,find [38] find,vaccination Top Word Pairs in Tweet in G7:
[315] casos,activos [315] fallecidos,registrados [315] diario,#covid_19 [315] informe,diario [315] casos,nuevos [305] ministeriosalud,informe [192] registrados,63 [151] activos,fallecidos [123] registrados,64 [103] #covid_19,febrero Top Word Pairs in Tweet in G8:
[5] pouldeau61,skepticalmutant [3] scottstocker4,zee_parody [3] nopoisonjabs,andrewlazarus4 [3] andrewlazarus4,volpiranyas [3] skepticalmutant,shina20269455 [3] shina20269455,nopoisonjabs [3] volpiranyas,scottstocker4 [2] sasquatch4eva,rickeyh64219156 [2] doom37455413,jkelleyk [2] tweetofsteiner,augusti03401363 Top Word Pairs in Tweet in G9:
[428] 詳細,co [428] co,qnzux8c1z3 [418] ibaraki_kouhou,#新型コロナウイルス感染症情報 [380] qnzux8c1z3,検査前で症状がある方 [257] 検査前で症状がある方,検査で陽性 [159] 本日の死亡者,2名 [159] 2名,詳細 [157] 14名,本日の死亡者 [157] うち重症者,14名 [103] 本日の死亡者,4名 Top Word Pairs in Tweet in G10:
[127] 県ホームページの更新は翌日,土日祝日を除く [127] 土日祝日を除く,になります [127] 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 [119] の新型コロナウイルス感染症の情報,新規感染者数 [94] multiple,languages [94] 本日の感染者はコチラ,co [94] information,multiple [94] の広島県内の感染状況,本日の感染者はコチラ [94] languages,covid [94] covid,19 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 G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: