The graph represents a network of 6,118 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 2/8/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 09 February 2023 at 11:14 UTC.
The tweets in the network were tweeted over the 1113-day, 4-hour, 1-minute period from Wednesday, 22 January 2020 at 20:59 UTC to Thursday, 09 February 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 : 6118
Unique Edges : 4005
Edges With Duplicates : 10196
Total Edges : 14201
Number of Edge Types : 9
Retweet : 2977
MentionsInRetweet : 3549
Tweet : 1553
Replies to : 1412
MentionsInReplyTo : 3913
Mentions : 504
MentionsInQuoteReply : 127
Quote : 95
MentionsInQuote : 71
Self-Loops : 2155
Reciprocated Vertex Pair Ratio : 0.0379726973168053
Reciprocated Edge Ratio : 0.073167044595616
Connected Components : 1507
Single-Vertex Connected Components : 707
Maximum Vertices in a Connected Component : 1988
Maximum Edges in a Connected Component : 6260
Maximum Geodesic Distance (Diameter) : 34
Average Geodesic Distance : 10.626241
Graph Density : 0.000176759146303826
Modularity : 0.489183
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,118 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 2/8/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 09 February 2023 at 11:14 UTC.
The tweets in the network were tweeted over the 1113-day, 4-hour, 1-minute period from Wednesday, 22 January 2020 at 20:59 UTC to Thursday, 09 February 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:
[539] covid,19 [460] estadísticas,generales [409] estas,estadísticas [381] coronavirus,venezuela [347] generales,total [334] total,contagios [261] venezuela,estas [225] #covid19,#covid_19 [220] días,coronavirus [177] #covid_19,#covidー19 Top Word Pairs in Tweet in G1:
[161] covid,19 [57] #coronavirus,#covid19 [29] 02,08 [27] #covid19,#covid_19 [26] février,2023 [23] coronavirus,pandemic [23] 2023,02 [22] medical,analyst [21] 19,data [21] ce,mercredi Top Word Pairs in Tweet in G2:
[65] human,transmission [65] funding,augment [65] #bioterrorism,overthrow [65] overthrow,country [65] strains,bat [65] transmission,pandemic [65] used,#bioterrorism [65] reset,#buildbackbetter [65] bat,human [65] economy,reset Top Word Pairs in Tweet in G3:
[78] d'une,agence [78] partie,12 [78] engagement,center [78] #twitterfiles,dévoile [78] agence,global [78] center,dont [78] dévoile,opérations [78] 12,#twitterfiles [78] opérations,d'une [78] dont,mission Top Word Pairs in Tweet in G4:
[94] getting,vaccine [94] understanding,covid [94] cdc,understanding [94] explains,side [94] 19,vaccines [94] effects,getting [94] side,effects [94] good,news [94] covid,19 [94] news,cdc Top Word Pairs in Tweet in G5:
[15] 50,100 [15] between,50 [15] lately,catastrophic [15] story,lot [15] pandemic,killed [15] 100,million [15] flu,pandemic [15] killed,between [15] catastrophic,1918 [15] thinking,story Top Word Pairs in Tweet in G6:
[6] daily,number [6] cases,compared [6] cases,41 [6] covid,cases [6] cases,deaths [6] japan,covid [6] newly,confirmed [6] 8th,february [6] february,daily [6] number,newly Top Word Pairs in Tweet in G7:
[8] face,#masks [8] negligible,impact [8] cdc,found [8] didn,exceed [8] coronavirus,numbers [8] found,face [8] masks,study [8] numbers,didn [8] study,cdc [8] #masks,negligible Top Word Pairs in Tweet in G8:
[8] reportedly,read [8] trump,reportedly [7] threat,novel [7] adequately,warning [7] reports,uses [7] novel,coronavirus [7] visuals,trump [7] intelligence,reports [7] read,intelligence [7] blamed,jan Top Word Pairs in Tweet in G9:
[6] nzz,microsoft_ch [4] google,wikimedia [4] wikimedia,jimmy_wales [4] microsoft_ch,pgollmer [4] pgollmer,google [4] jimmy_wales,uhoelzle [2] sama,pmarca [2] erikbryn,chrmanning [2] tedlieu,karaswisher [2] china2asean,emilymbender Top Word Pairs in Tweet in G10:
[71] sedatives,make [71] using,powerful [71] homes,accused [71] use,rocketed [71] more,quickly [71] quickly,use [71] make,coronavirus [71] coronavirus,victims [71] powerful,sedatives [71] victims,die Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: