The graph represents a network of 6,219 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 1/13/2023 5:00:34 PM. The network was obtained from Twitter on Saturday, 14 January 2023 at 08:24 UTC.
The tweets in the network were tweeted over the 973-day, 6-hour, 29-minute period from Friday, 15 May 2020 at 18:30 UTC to Saturday, 14 January 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 : 6219
Unique Edges : 2805
Edges With Duplicates : 10671
Total Edges : 13476
Number of Edge Types : 9
Retweet : 3871
MentionsInRetweet : 4389
MentionsInReplyTo : 2196
Replies to : 1220
Mentions : 287
Tweet : 1305
Quote : 133
MentionsInQuoteReply : 35
MentionsInQuote : 40
Self-Loops : 1510
Reciprocated Vertex Pair Ratio : 0.0180042722001831
Reciprocated Edge Ratio : 0.0353717026378897
Connected Components : 1092
Single-Vertex Connected Components : 291
Maximum Vertices in a Connected Component : 3396
Maximum Edges in a Connected Component : 8587
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 6.997922
Graph Density : 0.000172538001417232
Modularity : 0.497576
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,219 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 1/13/2023 5:00:34 PM. The network was obtained from Twitter on Saturday, 14 January 2023 at 08:24 UTC.
The tweets in the network were tweeted over the 973-day, 6-hour, 29-minute period from Friday, 15 May 2020 at 18:30 UTC to Saturday, 14 January 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:
[1276] covid,19 [627] covid,vaccines [621] breaking,cdc [451] covid,vaccine [450] 19,vaccines [347] link,between [342] safety,concern [294] pfizer,covid [269] cdc,investigating [238] vaccines,strokes Top Word Pairs in Tweet in G1:
[64] covid,19 [15] stroke,risk [11] pfizer,covid [11] covid,boosters [11] covid,vaccines [10] federal,officials [10] risk,linked [10] linked,pfizer [10] increased,stroke [10] boosters,federal Top Word Pairs in Tweet in G2:
[243] covid,19 [196] 19,vaccines [169] safety,concern [153] breaking,cdc [149] concern,covid [148] truth,coming [148] cdc,identified [148] identified,safety [148] vaccines,truth [148] coming,light Top Word Pairs in Tweet in G3:
[146] covid,mrna [146] excess,cardiovascular [143] cardiovascular,deaths [142] bbc,news [142] cardiologist,contributory [142] contributory,factor [142] news,cardiologist [142] breaking,bbc [142] factor,excess [141] deaths,covid Top Word Pairs in Tweet in G4:
[115] covid,19 [98] 19,vaccine [65] pfizer,covid [65] safety,concern [61] vaccine,identified [61] identified,cdc [61] possible,safety [61] concern,pfizer [60] rwmalonemd,possible [22] cdcgov,come Top Word Pairs in Tweet in G5:
[35] covid,19 [25] covid,vaccines [19] covid,deaths [15] reluctance,admit [14] discount,role [14] important,discount [14] sheer,pettiness [14] admit,catastrophe [14] role,sheer [14] mainstream,reluctance Top Word Pairs in Tweet in G6:
[155] breaking,cdc [144] pfizer,covid [140] covid,vaccines [139] link,between [136] vaccines,strokes [136] between,pfizer [136] cdc,investigating [136] possible,link [136] investigating,possible [135] mattwallace888,breaking Top Word Pairs in Tweet in G7:
[88] covid,vaccines [69] mrna,covid [47] covid,vaccine [44] investigation,mrna [44] breaking,cdc [44] scale,investigation [44] large,scale [41] cases,strokes [41] opened,large [41] increased,cases Top Word Pairs in Tweet in G8:
[82] executive,order [80] covid,arkansas [80] existing,orders [80] today,proud [80] terminating,five [80] five,existing [80] order,terminating [80] sign,executive [80] proud,sign [80] orders,covid Top Word Pairs in Tweet in G9:
[82] covid,vaccine [69] covid,vax [69] strokes,before [69] vax,strokes [69] cdc,investigated [69] investigated,covid [69] anything,shouldn [69] shouldn,cdc [69] before,forced [69] doctor,anything Top Word Pairs in Tweet in G10:
[96] chuckcallesto,breaking [61] breaking,cdc [56] breaking,report [56] report,fda [55] fda,cdc [54] accuse,moderna [54] cdc,advisors [54] advisors,accuse [54] covid,bivalent [54] moderna,witholding Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G6:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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 G10: