The graph represents a network of 5,653 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 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 08:04 UTC.
The tweets in the network were tweeted over the 1011-day, 4-hour, 27-minute period from Tuesday, 28 April 2020 at 20:32 UTC to Saturday, 04 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 : 5653
Unique Edges : 2541
Edges With Duplicates : 10148
Total Edges : 12689
Number of Edge Types : 9
Retweet : 4159
MentionsInRetweet : 5097
Tweet : 1015
Replies to : 644
MentionsInReplyTo : 1178
Mentions : 418
MentionsInQuoteReply : 42
Quote : 87
MentionsInQuote : 49
Self-Loops : 1260
Reciprocated Vertex Pair Ratio : 0.0114229765013055
Reciprocated Edge Ratio : 0.0225879315908358
Connected Components : 891
Single-Vertex Connected Components : 303
Maximum Vertices in a Connected Component : 3040
Maximum Edges in a Connected Component : 7644
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 6.217414
Graph Density : 0.000193986020236892
Modularity : 0.498094
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,653 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 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 08:04 UTC.
The tweets in the network were tweeted over the 1011-day, 4-hour, 27-minute period from Tuesday, 28 April 2020 at 20:32 UTC to Saturday, 04 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-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:
[4042] covid,19 [477] 19,vaccines [351] breaking,pfizer [309] 19,vaccine [277] federal,judge [275] breaking,federal [273] blocked,california [273] judge,blocked [273] law,punishes [273] medical,misinformation Top Word Pairs in Tweet in G1:
[388] covid,19 [307] breaking,pfizer [211] project_veritas,breaking [192] over,women's [192] director,concerned [192] women's,reproductive [192] concerned,over [190] pfizer,director [120] vaccines,tell [120] exploring,mutating Top Word Pairs in Tweet in G2:
[279] covid,19 [24] 19,pandemic [19] 19,vaccine [15] contra,covid [12] pode,permanecer [12] pesquisa,revela [12] permanecer,longo [12] 19,pode [12] revela,covid [12] longo,tempo Top Word Pairs in Tweet in G3:
[236] federal,judge [236] judge,blocked [236] misinformation,law [236] punishes,doctors [236] law,punishes [236] blocked,california [236] california,medical [236] law,law [236] breaking,federal [236] medical,misinformation Top Word Pairs in Tweet in G4:
[261] covid,19 [114] 19,vaccines [68] healthbyjames,urgent [66] 19,vaccine [64] healthbyjames,breaking [51] oveta,fuller [51] dr,oveta [49] panelist,covid [49] vaccines,safe [49] fuller,fda Top Word Pairs in Tweet in G5:
[210] ccp,much [210] family,administration [210] much,onthe [210] onthe,biden [210] biden,family [210] administration,react [210] conclude,ccp [210] thing,conclude [209] mariabartiromo,thing [13] covid,19 Top Word Pairs in Tweet in G6:
[188] covid,19 [125] simply,die [125] die,study [125] severe,covid [125] 19,patients [125] administer,high [125] happens,administer [125] doses,vitamin [125] high,doses [125] vitamin,severe Top Word Pairs in Tweet in G7:
[94] covid,19 [65] growing,number [65] refusing,covid [65] 19,booster [65] shots,lot [65] physicians,refusing [65] booster,shots [65] number,physicians [64] p_mcculloughmd,growing [38] fauci,met Top Word Pairs in Tweet in G8:
[127] covid,19 [91] 19,ce [77] livre,covid [76] ce,matin [73] decoder_l,après [66] chiffres,officiels [65] ce,révèlent [64] révèlent,chiffres [45] mon,livre [44] cnews,ce Top Word Pairs in Tweet in G9:
[120] covid,19 [80] 19,vaccine [79] dr,'sucharit [79] hearts,brains [79] destroys,hearts [79] bhakdi',covid [79] 'sucharit,bhakdi' [79] vaccine,destroys [79] billions,people [79] brains,billions Top Word Pairs in Tweet in G10:
[125] covid,19 [51] public,health [51] mrna,shots [51] department,longer [51] california,public [51] health,department [51] 19,mrna [51] breaking,california [51] longer,pursue [51] mandating,covid Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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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 G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G10: