The graph represents a network of 5,455 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 2/6/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 07 February 2023 at 13:49 UTC.
The tweets in the network were tweeted over the 1119-day, 9-hour, 54-minute period from Tuesday, 14 January 2020 at 15:00 UTC to Tuesday, 07 February 2023 at 00:55 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 : 5455
Unique Edges : 4094
Edges With Duplicates : 11450
Total Edges : 15544
Number of Edge Types : 9
Retweet : 3112
MentionsInRetweet : 4035
MentionsInReplyTo : 5142
Replies to : 2009
Tweet : 756
MentionsInQuote : 101
MentionsInQuoteReply : 89
Quote : 69
Mentions : 231
Self-Loops : 1236
Reciprocated Vertex Pair Ratio : 0.0520805369127517
Reciprocated Edge Ratio : 0.099004848175555
Connected Components : 618
Single-Vertex Connected Components : 219
Maximum Vertices in a Connected Component : 3366
Maximum Edges in a Connected Component : 10695
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 7.592792
Graph Density : 0.000263448281888989
Modularity : 0.479155
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,455 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 2/6/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 07 February 2023 at 13:49 UTC.
The tweets in the network were tweeted over the 1119-day, 9-hour, 54-minute period from Tuesday, 14 January 2020 at 15:00 UTC to Tuesday, 07 February 2023 at 00:55 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:
[1027] covid,19 [411] 詳細,co [411] co,qnzux8c1z3 [402] ibaraki_kouhou,#新型コロナウイルス感染症情報 [359] qnzux8c1z3,検査前で症状がある方 [352] decrease,over [351] hospitalizations,decrease [351] 19,hospitalizations [350] predicting,covid [350] over,coming Top Word Pairs in Tweet in G1:
[541] covid,19 [340] decrease,over [339] hospitalizations,decrease [338] predicting,covid [338] coming,month [338] longer,predicting [338] over,coming [338] cdcgov,longer [338] 19,hospitalizations [337] month,remai Top Word Pairs in Tweet in G2:
[18] peut,être [17] _2019_ncov,c'est [14] romain260910,_2019_ncov [14] ils,ont [13] j'en,ai [13] l'une,plus [13] ce,peut [13] plus,belles [13] paternité,j'en [13] larmes,aux Top Word Pairs in Tweet in G3:
[203] reminder,cdc [203] based,vaers [203] vsd,data [203] assures,c19 [203] safe,based [203] million,reports [203] reports,harm [203] cdc,assures [203] hidden,public [203] data,hidden Top Word Pairs in Tweet in G4:
[142] covid,19 [110] 2019,ncov [84] cases,increase [84] recombinomics,inc [84] ncov,recombinomics [83] covid,cases [24] 19,vaccines [22] learn,more [13] 19,vaccine [10] #疫情防控,#covid19 Top Word Pairs in Tweet in G5:
[9] masks,work [8] jennyerikson,doc_stuart [8] 2023,clear [8] 2020,update [8] clear,masks [8] update,2023 [8] san,diego [8] diego,masking [8] study,2020 [8] doc_stuart,cochrane Top Word Pairs in Tweet in G6:
[13] covid,19 [6] diedsuddenly_,catturd2 [6] stillgray,lukewearechange [6] side,effects [5] _2019_ncov,elonmusk [5] _2019_ncov,jeanmessiha [5] elonmusk,stillgray [4] republican,friends [4] 19,vaccines [4] cee76bee,kylied87 Top Word Pairs in Tweet in G7:
[400] 詳細,co [400] co,qnzux8c1z3 [391] ibaraki_kouhou,#新型コロナウイルス感染症情報 [349] qnzux8c1z3,検査前で症状がある方 [148] 検査前で症状がある方,検査で陽 [144] 18名,本日の死亡者 [144] うち重症者,18名 [131] 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になります [131] の新型コロナウイルス感染症の情報,新規感染者数 [107] うち重症者,19名 Top Word Pairs in Tweet in G8:
[4] jwingnut,ericareport [4] nucleus,cell [4] julieparkansky2,unhealthytruth [4] unhealthytruth,jwingnut [3] set,protein [3] move,nucleus [3] building,instructions [3] protein,building [3] mrna,set [3] messenger,rnas Top Word Pairs in Tweet in G9:
[10] covid,19 [7] vaccination,status [7] apwk0rg,nelsonepega [7] benifit,being [7] iancopeland5,modelayshamirza [7] nelsonepega,iancopeland5 [7] jedstur,charlyg17_g [7] thevegdoc,apwk0rg [7] charlyg17_g,thevegdoc [6] rates,age Top Word Pairs in Tweet in G10:
[14] voulaient,j'utilise [14] ils,voulaient [13] verity_france,fart47404663 [12] rasekrasek,_2019_ncov [12] jaimehorta17,llp_le_vrai [12] narashi13876794,jaimehorta17 [12] llp_le_vrai,rasekrasek [12] fart47404663,narashi13876794 [12] _2019_ncov,_brindacier [12] _brindacier,docteurpeb1 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
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: