The graph represents a network of 6,502 Twitter users whose recent tweets contained "COVID", 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 1/14/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 15 January 2023 at 09:02 UTC.
The tweets in the network were tweeted over the 1594-day, 12-hour, 30-minute period from Monday, 03 September 2018 at 12:30 UTC to Sunday, 15 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 : 6502
Unique Edges : 2904
Edges With Duplicates : 10710
Total Edges : 13614
Number of Edge Types : 9
Retweet : 3815
MentionsInRetweet : 4229
Replies to : 1283
MentionsInReplyTo : 2276
Tweet : 1403
Mentions : 351
Quote : 159
MentionsInQuote : 65
MentionsInQuoteReply : 33
Self-Loops : 1624
Reciprocated Vertex Pair Ratio : 0.021163215590743
Reciprocated Edge Ratio : 0.0414492321455196
Connected Components : 1191
Single-Vertex Connected Components : 293
Maximum Vertices in a Connected Component : 3250
Maximum Edges in a Connected Component : 8001
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 7.355348
Graph Density : 0.000158672321240028
Modularity : 0.508016
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,502 Twitter users whose recent tweets contained "COVID", 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 1/14/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 15 January 2023 at 09:02 UTC.
The tweets in the network were tweeted over the 1594-day, 12-hour, 30-minute period from Monday, 03 September 2018 at 12:30 UTC to Sunday, 15 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 : COVID
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:
[1029] covid,19 [358] covid,vaccine [262] covid,vaccines [212] please,please [139] link,between [137] 19,vaccine [133] 19,vaccines [131] never,forget [128] breaking,cdc [117] pfizer,covid Top Word Pairs in Tweet in G1:
[178] please,please [91] never,forget [89] girl,cries [89] children,girl [89] cries,please [89] forget,children [88] healthbyjames,never [88] please,maske [87] healthbyjames,breaking [69] covid,19 Top Word Pairs in Tweet in G2:
[65] covid,19 [15] 60,000 [14] covid,cases [12] omicron,subvariant [12] covid,deaths [12] accounts,43 [12] 43,covid [11] subvariant,accounts [10] covid,vaccine [9] leana,wen Top Word Pairs in Tweet in G3:
[44] working,died [44] half,million [44] chair,jerome [44] close,half [44] million,working [43] #covid,federal [43] god,close [43] reserve,chair [43] died,#covid [43] federal,reserve Top Word Pairs in Tweet in G4:
[64] wuhan,lab [58] covid,19 [50] arrested,funding [50] 19,wuhan [50] funding,covid [50] lab,killing [47] dr,fauci [32] 2023,dr [32] 14th,2023 [32] fauci,still Top Word Pairs in Tweet in G5:
[35] healthcare,workers [35] mandate,healthcare [33] supreme,court [33] video,2020 [33] way,before [33] c19,vax [33] oh,validated [33] called,crazy [33] ny,state [33] listened,many Top Word Pairs in Tweet in G6:
[77] killing,people [76] really,sad [76] sad,gop [76] gop,killing [75] elienyc,really [35] covid,vaccine [32] chair,jerome [32] reserve,chair [31] common,side [30] side,effect Top Word Pairs in Tweet in G7:
[52] covid,19 [39] safe,effective [38] 19,vaccines [38] hoped,prayed [38] reality,covid [38] vaccines,safe [38] start,facing [38] facing,reality [38] time,start [38] effective,hoped Top Word Pairs in Tweet in G8:
[42] covid,patients [41] working,hospital [41] reader,working [41] jabbed,vents [41] patients,jabbed [41] 12,covid [41] today,12 [41] note,reader [41] hospital,today [40] stkirsch,note Top Word Pairs in Tweet in G9:
[45] covid,19 [16] covid,vaccines [13] 19,vaccine [11] 19,vaccines [10] ny,state [9] 19,vaccination [7] hard,americans [7] reality,progressive [7] schwab,show [7] known,mechanisms Top Word Pairs in Tweet in G10:
[27] abt,15 [27] please,take [27] day,track [27] 600,deaths [27] 15,000 [27] covid,seriously [27] track,abt [27] back,towards [27] seriously,moving [27] deaths,day 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: