The graph represents a network of 6,082 Twitter users whose recent tweets contained "Coronavirus", 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 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 10:20 UTC.
The tweets in the network were tweeted over the 2610-day, 17-hour, 19-minute period from Monday, 16 November 2015 at 07:40 UTC to Monday, 09 January 2023 at 01:00 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 : 6082
Unique Edges : 3150
Edges With Duplicates : 10158
Total Edges : 13308
Number of Edge Types : 9
Retweet : 3701
MentionsInRetweet : 4246
Quote : 86
Replies to : 947
MentionsInReplyTo : 2452
Tweet : 1159
Mentions : 593
MentionsInQuoteReply : 81
MentionsInQuote : 43
Self-Loops : 1729
Reciprocated Vertex Pair Ratio : 0.0271398747390397
Reciprocated Edge Ratio : 0.0528455284552846
Connected Components : 1191
Single-Vertex Connected Components : 469
Maximum Vertices in a Connected Component : 2113
Maximum Edges in a Connected Component : 4909
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.754232
Graph Density : 0.000172936647595507
Modularity : 0.500926
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,082 Twitter users whose recent tweets contained "Coronavirus", 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 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 10:20 UTC.
The tweets in the network were tweeted over the 2610-day, 17-hour, 19-minute period from Monday, 16 November 2015 at 07:40 UTC to Monday, 09 January 2023 at 01:00 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 : Coronavirus
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:
[650] 100,men [369] someone,infected [369] 96,walk [369] choose,rely [369] walk,sit [369] infected,flying [369] breathe,air [369] flying,choose [369] air,someone [369] sit,breathe Top Word Pairs in Tweet in G1:
[90] covid,19 [32] #covid19,#coronavirus [29] #coronavirus,#covid19 [24] saying,done [24] speaking,saying [20] coronavirus,speaking [18] #covid19,#covid_19 [16] memlekettenh,aracılığıyla [16] #ankara,#izmir [16] #antalya,#haber Top Word Pairs in Tweet in G2:
[616] 100,men [324] sperm,counts [308] prior,vs [308] researchers,compared [308] vs,100 [308] test,mos [308] #covid19,test [308] men,positive [308] counts,100 [308] mos,prior Top Word Pairs in Tweet in G3:
[362] someone,infected [362] breathe,air [362] 96,walk [362] infected,flying [362] walk,sit [362] sit,breathe [362] choose,rely [362] air,someone [362] flying,choose [361] jeromeadamsmd,96 Top Word Pairs in Tweet in G4:
[214] domicilio,lugar [214] ponte,vacuna [214] centro,inmunización [214] #prevención,acude [214] trabajo,ponte [214] lugar,trabajo [214] acude,centro [214] inmunización,cercano [214] cercano,domicilio [201] vtvcanal8,#prevención Top Word Pairs in Tweet in G5:
[328] covid,flight [164] fraction,flyers [164] flight,lessons [164] small,fraction [164] flyers,contracted [164] contracted,covid [164] flight,small [163] drjbhattacharya,covid [2] permanent,include [2] rules,healthcare Top Word Pairs in Tweet in G6:
[137] coronavirus,vaccines [137] bats,eyelid [137] darpa,involved [137] before,pandemic [137] one,bats [137] vaccines,development [137] pandemic,appeared [137] development,way [137] appeared,darpa [137] way,before Top Word Pairs in Tweet in G7:
[135] safe,blood [134] blood,donation [133] world,safe [133] provide,people [133] called,safe [133] switzerland,called [133] set,provide [133] over,world [133] people,over [133] organization,switzerland Top Word Pairs in Tweet in G8:
[8] hospitalized,massachusetts [8] 16,adolescents [8] adolescents,hospitalized [8] general,hospital [8] circulation,16 [8] massachusetts,general [8] hospital,boston [8] yonker,circulation [8] boston,children's [7] p_mcculloughmd,yonker Top Word Pairs in Tweet in G9:
[6] jimbousa1776,magicgirlgol [6] marsha579l,lesterwikid [6] swinburne_mark,karensense [6] dildorobot,jersey_some [6] beachco40183200,secretwanderer9 [6] daccoltitony,andi1381338 [6] richard03457581,james60380202 [6] kathyth12,honeywhite567 [6] flynn6411,beachco40183200 [6] james60380202,lacarpetronm Top Word Pairs in Tweet in G10:
[62] publication,covid [62] c_drosten,publication [62] fearmonger,c_drosten [62] german,state [62] virologist,fearmonger [62] state,virologist [62] waukema,learned [62] learned,german [61] goddeketal,waukema [61] covid,pc Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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: