The graph represents a network of 6,164 Twitter users whose recent tweets contained "COVID-19", 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 3/15/2023 5:00:36 PM. The network was obtained from Twitter on Thursday, 16 March 2023 at 07:05 UTC.
The tweets in the network were tweeted over the 1095-day, 2-hour, 9-minute period from Sunday, 15 March 2020 at 21:50 UTC to Thursday, 16 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 : 6164
Unique Edges : 2420
Edges With Duplicates : 10234
Total Edges : 12654
Number of Edge Types : 9
Retweet : 3814
MentionsInRetweet : 4284
Tweet : 1203
Mentions : 459
Replies to : 1054
MentionsInReplyTo : 1648
MentionsInQuote : 61
Quote : 100
MentionsInQuoteReply : 31
Self-Loops : 1517
Reciprocated Vertex Pair Ratio : 0.0160327477400648
Reciprocated Edge Ratio : 0.0315595098203794
Connected Components : 1198
Single-Vertex Connected Components : 386
Maximum Vertices in a Connected Component : 1384
Maximum Edges in a Connected Component : 3615
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.459178
Graph Density : 0.000156809656084336
Modularity : 0.500029
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,164 Twitter users whose recent tweets contained "COVID-19", 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 3/15/2023 5:00:36 PM. The network was obtained from Twitter on Thursday, 16 March 2023 at 07:05 UTC.
The tweets in the network were tweeted over the 1095-day, 2-hour, 9-minute period from Sunday, 15 March 2020 at 21:50 UTC to Thursday, 16 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-19
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:
[4308] covid,19 [489] contra,covid [320] 19,vaccines [210] vacinas,contra [204] vaccines,covid [203] click,link [201] digital,qr [201] qr,certificate [201] letters,without [201] without,taking Top Word Pairs in Tweet in G1:
[383] covid,19 [40] 19,pandemic [19] public,health [17] contra,covid [14] during,covid [12] guna,cegah [12] health,emergency [12] ayo,vaksin [12] booster,dan [12] protokol,kesehatan Top Word Pairs in Tweet in G2:
[501] covid,19 [212] 19,vaccines [202] vaccines,covid [201] exemption,letters [201] vaccine,click [201] paper,card [201] taking,vaccine [201] 19,digital [201] boosters,exemption [201] qr,certificate Top Word Pairs in Tweet in G3:
[193] covid,19 [150] contra,covid [85] vacinas,contra [59] deixou,vencer [55] beth,goulart [39] nacional,pela [39] pela,vacinação [39] movimento,nacional [38] vacina,contra [38] milhões,doses Top Word Pairs in Tweet in G4:
[70] covid,19 [65] babies,toddlers [47] breaking,low [47] toddlers,trial [47] authorized,bivalent [47] bivalent,c19 [47] c19,babies [47] fda,authorized [47] low,fda [46] aaronsirisg,breaking Top Word Pairs in Tweet in G5:
[326] covid,19 [158] list,symptoms [158] 19,virus [158] essentially,list [158] common,flu [158] 19,essentially [158] symptoms,common [158] virus,covid [158] such,thing [158] thing,covid Top Word Pairs in Tweet in G6:
[98] covid,19 [32] international,#longcovidawarenessday [30] cdn,rockies [30] ling,peak [30] top,ling [30] first,international [30] #longcovidawarenessday,top [30] today,first [30] peak,cdn [29] really,recovered Top Word Pairs in Tweet in G7:
[139] covid,19 [138] spread,covid [138] prevent,spread [138] shutdowns,began [138] began,order [138] today,shutdowns [138] ago,today [138] order,prevent [138] years,ago [137] popcrave,years Top Word Pairs in Tweet in G8:
[47] covid,19 [29] gp,prescribing [29] covid,australia [29] big,pharma [29] banning,gp [29] ivermectin,covid [29] excuses,doing [29] bidding,banning [29] prescribing,ivermectin [29] tga,excuses Top Word Pairs in Tweet in G9:
[79] covid,19 [58] contra,covid [52] sob,lula [52] 27,milhões [52] vacinas,contra [52] 19,vencem [52] lula,27 [52] milhões,vacinas [51] revistaoeste,sob [17] dentro,uma Top Word Pairs in Tweet in G10:
[74] covid,19 [35] homes,killing [35] 19,returned [35] nursing,homes [35] ordering,infected [35] way,pa [35] returned,nursing [35] levine,led [35] thousands,seniors [35] killing,thousands Top Replied-To in Entire Graph:
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 G8:
Top Replied-To in G9:
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: