The graph represents a network of 5,125 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 3/5/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 06 March 2023 at 10:35 UTC.
The tweets in the network were tweeted over the 3572-day, 8-hour, 14-minute period from Friday, 24 May 2013 at 16:33 UTC to Monday, 06 March 2023 at 00:48 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 : 5125
Unique Edges : 3843
Edges With Duplicates : 12729
Total Edges : 16572
Number of Edge Types : 9
Retweet : 3399
MentionsInRetweet : 4721
Replies to : 1677
MentionsInReplyTo : 5333
Tweet : 700
Mentions : 186
MentionsInQuote : 155
MentionsInQuoteReply : 351
Quote : 50
Self-Loops : 1144
Reciprocated Vertex Pair Ratio : 0.0489007328447702
Reciprocated Edge Ratio : 0.0932418699186992
Connected Components : 580
Single-Vertex Connected Components : 181
Maximum Vertices in a Connected Component : 2565
Maximum Edges in a Connected Component : 9346
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 7.721885
Graph Density : 0.000299765807962529
Modularity : 0.443054
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,125 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 3/5/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 06 March 2023 at 10:35 UTC.
The tweets in the network were tweeted over the 3572-day, 8-hour, 14-minute period from Friday, 24 May 2013 at 16:33 UTC to Monday, 06 March 2023 at 00:48 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:
[631] covid,19 [447] qnzux8c1z3,検査前で症状がある方 [447] 詳細,co [447] co,qnzux8c1z3 [438] ibaraki_kouhou,#新型コロナウイルス感染症情報 [346] 検査前で症状がある方,検査で陽性と判 [321] informe,diario [321] casos,activos [321] diario,#covid_19 [321] casos,nuevos Top Word Pairs in Tweet in G1:
[267] injections,d'arnm [267] meurtriers,l'histoire [267] vaccins,plus [267] d'arnm,sont [267] l'allemagne,déclare [267] plus,meurtriers [267] sont,vaccins [267] déclare,injections [266] julienm__,l'allemagne [61] fda,cdc Top Word Pairs in Tweet in G2:
[97] long,covid [96] fast,heartbeat [96] breath,fast [96] brain,fog [96] shortness,breath [96] common,symptoms [96] include,fatigue [96] heartbeat,brain [96] fog,several [96] several,weeks Top Word Pairs in Tweet in G3:
[198] warum,trotz [198] angesprochenen,trick [198] immer,mehr [198] trotz,sagenhafter [198] benutzt,rki_de [198] impfeffizienz,immer [198] rki_de,erklärt [198] sagenhafter,impfeffizienz [198] tweet,angesprochenen [198] trick,benutzt Top Word Pairs in Tweet in G4:
[117] long,covid [84] covid,19 [81] 19,vaccines [78] vaccines,cause [78] breakdown,known [78] cause,death [78] less,think [78] think,breakdown [78] yes,less [78] death,yes Top Word Pairs in Tweet in G5:
[115] cdcの妊婦におけるコロナワクチン接種に関するページ,妊娠中のコロナワクチン接種は安全で有効 [115] 妊娠中のコロナワクチン接種は安全で有効,コロナワクチン接種は男女ともに不妊に影響しない [114] mph_for_doctors,cdcの妊婦におけるコロナワクチン接種に関するページ [42] 병상,가동률 [32] 本日のコロナワクチン接種会場,本日 [30] 予約なしでも接種できます,詳しくは [25] 大泉学園駅南口,徒歩3分 [25] 6か月,4歳 [25] 乳幼児,6か月 [25] 練馬区の乳幼児の集団接種,予約が取りやすくなっています Top Word Pairs in Tweet in G6:
[115] covid,19 [114] 2019,ncov [83] recombinomics,inc [83] cases,increase [83] ncov,recombinomics [82] covid,cases [21] learn,more [19] sars,cov [19] coronavirus,2019 [16] york,times Top Word Pairs in Tweet in G7:
[321] casos,nuevos [321] informe,diario [321] casos,activos [321] diario,#covid_19 [310] ministeriosalud,informe [281] registrados,64 [281] fallecidos,registrados [193] #covid_19,marzo [136] activos,fallecidos [59] 13,fallecidos Top Word Pairs in Tweet in G8:
[9] updated,july [9] before,vaccines [9] july,2020 [9] read,document [9] 2020,before [9] see,last [9] last,updated [9] actually,read [9] document,see [8] doctor_eric_b,actually Top Word Pairs in Tweet in G9:
[145] provocar,#hepatiteautoimune [145] outra,pesquisa [145] pesquisa,indica [145] vacina,provocar [145] alerta,risco [145] indica,hepatite [145] site,oms [145] oms,alerta [145] risco,vacina [145] próprio,site Top Word Pairs in Tweet in G10:
[447] qnzux8c1z3,検査前で症状がある方 [447] 詳細,co [447] co,qnzux8c1z3 [438] ibaraki_kouhou,#新型コロナウイルス感染症情報 [346] 検査前で症状がある方,検査で陽性と判 [257] うち重症者,2名 [257] 2名,本日の死亡者 [243] 0名,詳細 [243] 本日の死亡者,0名 [147] 1名,詳細 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 G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: