The graph represents a network of 6,646 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 2/16/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 17 February 2023 at 08:47 UTC.
The tweets in the network were tweeted over the 1057-day, 23-hour, 47-minute period from Thursday, 26 March 2020 at 01:12 UTC to Friday, 17 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 : 6646
Unique Edges : 3056
Edges With Duplicates : 10781
Total Edges : 13837
Number of Edge Types : 9
Retweet : 3871
MentionsInRetweet : 4393
Replies to : 1180
MentionsInReplyTo : 2524
Mentions : 371
Tweet : 1236
MentionsInQuoteReply : 97
Quote : 127
MentionsInQuote : 38
Self-Loops : 1497
Reciprocated Vertex Pair Ratio : 0.0250622893155503
Reciprocated Edge Ratio : 0.0488990563340006
Connected Components : 1247
Single-Vertex Connected Components : 303
Maximum Vertices in a Connected Component : 3110
Maximum Edges in a Connected Component : 7608
Maximum Geodesic Distance (Diameter) : 31
Average Geodesic Distance : 7.67721
Graph Density : 0.000158369047885918
Modularity : 0.513866
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,646 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 2/16/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 17 February 2023 at 08:47 UTC.
The tweets in the network were tweeted over the 1057-day, 23-hour, 47-minute period from Thursday, 26 March 2020 at 01:12 UTC to Friday, 17 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 : 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:
[1160] covid,19 [516] covid,vaccine [290] 19,vaccine [243] vaccine,safety [234] mrna,covid [204] health,alert [200] alert,mrna [200] covid,vaccines [162] covid,cases [157] doctors,nurses Top Word Pairs in Tweet in G1:
[79] covid,19 [13] against,reinfection [13] time,covid [12] lengthens,amount [12] study,lengthens [12] protects,against [12] amount,time [12] covid,infection [12] infection,protects [9] fort,detrick Top Word Pairs in Tweet in G2:
[103] analysis,finds [93] covid,19 [78] lab,analysis [78] substances,covid [78] barium,cobalt [78] cobalt,iron [78] potentially,harmful [78] injections,cesium [78] harmful,substances [78] finds,potentially Top Word Pairs in Tweet in G3:
[140] covid,cases [138] cases,deaths [137] nurses,murder [137] crimes,paid [137] faked,covid [137] doctors,nurses [137] innocent,patients [137] patients,faked [137] paid,doctors [137] government,crimes Top Word Pairs in Tweet in G4:
[99] covid,vaccines [56] america,warn [56] one,first [56] first,reporters [56] vaccines,three [56] public,dangers [56] warn,public [56] reporters,america [56] dangers,covid [55] emeraldrobinson,one Top Word Pairs in Tweet in G5:
[140] covid,vaccine [103] keep,covid [103] effect,foreign [103] visiting,america [103] foreign,nationals [103] voted,keep [103] vaccine,mandate [103] america,course [103] democrats,voted [103] 201,democrats Top Word Pairs in Tweet in G6:
[128] gop,platform [128] shit,blow [128] protections,sit [128] strip,regulations [128] platform,strip [128] back,wait [128] environmental,protections [128] blow,under [128] wait,shit [128] regulations,environmental Top Word Pairs in Tweet in G7:
[121] covid,19 [89] 19,vaccine [88] mrna,covid [83] health,alert [82] vaccine,safety [82] alert,mrna [77] please,share [77] many,people [77] florida,department [77] safety,please Top Word Pairs in Tweet in G8:
[85] covid,vaccine [82] mrna,covid [74] vaccine,safety [74] surgeon,general [74] health,alert [74] official,health [74] florida,surgeon [74] today,florida [74] alert,mrna [74] safety,florida Top Word Pairs in Tweet in G9:
[75] 15,minute [74] place,scan [74] china's,15 [74] qr,code [74] looks,place [74] code,covid [74] minute,cities [74] scan,qr [74] cities,looks [74] covid,passport Top Word Pairs in Tweet in G10:
[125] covid,19 [113] 19,vaccine [109] britain,france [109] denmark,university [109] norway,sweden [109] university,mandates [109] mandates,covid [109] sweden,denmark [109] germany,norway [109] france,germany Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G5:
Top Replied-To in G6:
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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:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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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:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: