The graph represents a network of 7,022 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 3/15/2023 5:00:36 PM. The network was obtained from Twitter on Thursday, 16 March 2023 at 09:18 UTC.
The tweets in the network were tweeted over the 980-day, 1-hour, 36-minute period from Wednesday, 08 July 2020 at 22:23 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 : 7022
Unique Edges : 3702
Edges With Duplicates : 10865
Total Edges : 14567
Number of Edge Types : 9
Retweet : 3647
MentionsInRetweet : 4361
Tweet : 1446
Replies to : 1536
MentionsInReplyTo : 2761
Mentions : 425
MentionsInQuote : 106
Quote : 167
MentionsInQuoteReply : 118
Self-Loops : 1741
Reciprocated Vertex Pair Ratio : 0.0263921514439685
Reciprocated Edge Ratio : 0.0514270328486807
Connected Components : 1416
Single-Vertex Connected Components : 304
Maximum Vertices in a Connected Component : 2508
Maximum Edges in a Connected Component : 6415
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 8.142818
Graph Density : 0.000150664903203073
Modularity : 0.531061
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 7,022 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 3/15/2023 5:00:36 PM. The network was obtained from Twitter on Thursday, 16 March 2023 at 09:18 UTC.
The tweets in the network were tweeted over the 980-day, 1-hour, 36-minute period from Wednesday, 08 July 2020 at 22:23 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
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:
[932] covid,19 [498] long,covid [242] covid,vaccines [212] contra,covid [177] covid,vaccine [136] around,world [117] due,covid [103] doses,covid [99] vaccines,around [99] burning,billions Top Word Pairs in Tweet in G1:
[87] covid,vaccines [83] dr,harvey [83] harvey,risch [82] admitted,covid [82] government,essentially [82] failed,cdc [82] cdc,states [82] vaccines,failed [82] risch,government [82] essentially,admitted Top Word Pairs in Tweet in G2:
[91] covid,19 [17] long,covid [12] 19,pandemic [7] public,health [7] contra,covid [6] stis,hiv [6] march,2020 [6] testing,screening [6] during,covid [6] fair,providing Top Word Pairs in Tweet in G3:
[204] long,covid [37] awareness,day [37] covid,infection [35] covid,awareness [21] before,long [20] covid,19 [20] covid,long [19] #longcovidawarenessday,today [19] around,world [19] today,#longcovidawarenessday Top Word Pairs in Tweet in G4:
[76] covid,vaccines [75] around,world [74] vaccines,around [74] witnessing,burning [74] doses,covid [74] burning,billions [74] today,witnessing [74] billions,doses [70] world,one [67] mislavkolakusic,today Top Word Pairs in Tweet in G5:
[59] myocardites,troubles [42] d',arrêt [42] n',d' [42] arrêt,cardiaque [42] mais,myocardites [42] aux,doses [42] cardiaque,aux [41] raoult_didier,n' [41] d',hydroxychloroquine [41] doses,ordinaires Top Word Pairs in Tweet in G6:
[146] covid,19 [69] digital,qr [69] certificate,paper [69] click,link [69] vaccines,covid [69] vaccine,click [69] card,boosters [69] exemption,letters [69] 19,digital [69] taking,vaccine Top Word Pairs in Tweet in G7:
[20] covid,19 [15] acted,one [15] one,symbiotic [15] organ,clear [15] government,media [15] both,cases [15] symbiotic,organ [15] corporate,powers [15] clear,purpose [15] media,corporate Top Word Pairs in Tweet in G8:
[74] curo,covid [74] guillermo,curo [74] personas,milagro [74] nuestro,presidente [74] presidente,mascarilla [74] medio,cien [74] milagro,guillermo [74] mascarilla,medio [74] cien,personas [73] danielsalcan_,nuestro Top Word Pairs in Tweet in G9:
[89] grocery,store [88] sunny,hostin [85] covid,fears [82] host,sunny [82] store,years [82] due,covid [82] totally,hilarious [82] years,due [82] hostin,grocery [82] view,host Top Word Pairs in Tweet in G10:
[21] lies,believe [21] prevents,infection [21] distance,5m [21] initial,lies [21] 5m,prevents [21] infection,asymptomatic [21] believe,maintaining [21] maintaining,distance [20] goddeketal,initial [20] asymptomatic,transmis Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: