The graph represents a network of 7,261 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 3/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 March 2023 at 10:51 UTC.
The tweets in the network were tweeted over the 1097-day, 7-hour, 43-minute period from Wednesday, 11 March 2020 at 16:17 UTC to Tuesday, 14 March 2023 at 00:00 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 : 7261
Unique Edges : 4058
Edges With Duplicates : 11154
Total Edges : 15212
Number of Edge Types : 9
Retweet : 3563
MentionsInRetweet : 4259
Replies to : 1573
MentionsInReplyTo : 3461
Tweet : 1499
MentionsInQuote : 93
Mentions : 506
Quote : 180
MentionsInQuoteReply : 78
Self-Loops : 1863
Reciprocated Vertex Pair Ratio : 0.028738690792975
Reciprocated Edge Ratio : 0.0558717020175892
Connected Components : 1519
Single-Vertex Connected Components : 336
Maximum Vertices in a Connected Component : 2603
Maximum Edges in a Connected Component : 6570
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 9.878304
Graph Density : 0.000146675908842402
Modularity : 0.530801
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 7,261 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 3/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 March 2023 at 10:51 UTC.
The tweets in the network were tweeted over the 1097-day, 7-hour, 43-minute period from Wednesday, 11 March 2020 at 16:17 UTC to Tuesday, 14 March 2023 at 00:00 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:
[1076] covid,19 [196] long,covid [180] covid,vaccine [137] 800,mil [130] silicon,valley [129] covid,relief [128] ve,seen [126] student,loan [125] blue,state [124] bailouts,ukraine Top Word Pairs in Tweet in G1:
[63] covid,19 [61] covid,vaccine [44] karl,lauterbach [44] 10,000 [44] minister,karl [42] serious,injury [42] health,minister [41] injury,10 [41] causes,serious [41] admitting,covid Top Word Pairs in Tweet in G2:
[84] covid,19 [11] long,covid [9] contra,covid [7] 19,pandemic [6] covid,vaccine [6] 19,vaccine [6] years,covid [5] gateway,pundit [5] covid,vaccines [5] three,years Top Word Pairs in Tweet in G3:
[56] sucharit,bhakdi [45] covid,19 [44] dr,sucharit [44] hometown,germany [42] hero's,welcome [42] elonmusk,thechiefnerd [42] legacy,media [42] germany,legacy [42] bhakdi,receives [42] receives,standing Top Word Pairs in Tweet in G4:
[133] 800,mil [110] gatell,deben [110] deben,juzgados [109] amlo,lópez [109] juzgados,genicidio [109] genicidio,800 [109] lópez,gatell [109] mil,fallecidos [109] fallecidos,covid [109] estas,acuerdo Top Word Pairs in Tweet in G5:
[129] covid,19 [76] pandemia,covid [75] estado,alarma [41] alarma,pandemia [34] gracias,respuesta [34] 19,declaramos [34] declaramos,estado [34] alarma,gracias [33] respuesta,oportuna [33] cumplen,declaración Top Word Pairs in Tweet in G6:
[120] covid,relief [118] student,loan [118] ve,seen [118] far,ve [118] relief,student [118] silicon,valley [118] ukraine,bailouts [118] bailouts,ukraine [118] bailouts,silicon [118] bailouts,disguised Top Word Pairs in Tweet in G7:
[23] covid,19 [22] tilda,swinton [21] very,healthy [20] swinton,wear [20] mask,movie's [20] movie's,set [20] covid,mask [20] recorded,noted [20] noted,before [20] being,recorded Top Word Pairs in Tweet in G8:
[40] long,covid [13] covid,awareness [12] awareness,day [10] international,long [8] covid,19 [6] march,15th [6] ucsf,telling [6] emergency,over [6] covid,emergency [6] americans,covid Top Word Pairs in Tweet in G9:
[22] scoop,short [22] pulling,stops [22] going,down [22] down,re [22] ship,going [22] re,pulling [22] folks,scoop [22] short,caught [22] caught,ship [21] ninoboxer,folks Top Word Pairs in Tweet in G10:
[9] california,deputy [9] rising,star [9] monday,night [9] night,announced [9] orange,county [9] kelly,ernby [9] deputy,district [9] attorney,kelly [9] announced,orange [9] county,california Top Replied-To in Entire Graph:
Top Replied-To in G1:
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: