The graph represents a network of 4,582 Twitter users whose recent tweets contained "VaccinesWork", 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 3/12/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 13 March 2023 at 03:50 UTC.
The tweets in the network were tweeted over the 1838-day, 17-hour, 4-minute period from Wednesday, 28 February 2018 at 06:40 UTC to Sunday, 12 March 2023 at 23:45 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 : 4582
Unique Edges : 3457
Edges With Duplicates : 9486
Total Edges : 12943
Number of Edge Types : 9
Retweet : 3404
MentionsInRetweet : 4620
MentionsInReplyTo : 2070
Replies to : 716
Tweet : 944
Quote : 248
MentionsInQuote : 122
Mentions : 787
MentionsInQuoteReply : 32
Self-Loops : 1269
Reciprocated Vertex Pair Ratio : 0.0368878865979381
Reciprocated Edge Ratio : 0.0711511573714463
Connected Components : 490
Single-Vertex Connected Components : 182
Maximum Vertices in a Connected Component : 3042
Maximum Edges in a Connected Component : 9982
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 6.316412
Graph Density : 0.000306667768136109
Modularity : 0.471322
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,582 Twitter users whose recent tweets contained "VaccinesWork", 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 3/12/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 13 March 2023 at 03:50 UTC.
The tweets in the network were tweeted over the 1838-day, 17-hour, 4-minute period from Wednesday, 28 February 2018 at 06:40 UTC to Sunday, 12 March 2023 at 23:45 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 : VaccinesWork
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:
[266] watch,response [266] recently,drpauloffit [266] money,watch [266] confronted,man [266] vaccines,money [266] making,vaccines [266] man,accused [266] drpauloffit,confronted [266] accused,making [265] thereal_truther,recently Top Word Pairs in Tweet in G1:
[59] کے,لیے [58] rts,malaria [55] polio,campaign [54] malaria,vaccine [52] جات,کا [52] کا,کورس [52] حفاظتی,ٹیکہ [52] ٹیکہ,جات [52] اپنے,بچوں [52] safe,effective Top Word Pairs in Tweet in G2:
[32] vaccine,advocate [32] resurrected,being [32] accounts,resurrected [32] advocate,know [32] many,deeply [32] know,many [32] deeply,malignant [32] malignant,accounts [32] being,permanently [31] rosewind2007,vaccine Top Word Pairs in Tweet in G3:
[117] children,mostly [117] mostly,young [117] unvaccinated,children [117] 85,cases [117] measles,outbreak [117] young,85 [117] solely,unvaccinated [117] outbreak,ohio [117] ohio,solely [117] 36,hospitalized Top Word Pairs in Tweet in G4:
[246] watch,response [246] accused,making [246] recently,drpauloffit [246] making,vaccines [246] money,watch [246] confronted,man [246] vaccines,money [246] man,accused [246] drpauloffit,confronted [245] thereal_truther,recently Top Word Pairs in Tweet in G5:
[15] #endpolio,#vaccineswork [13] protect,yourself [12] more,co [12] saves,lives [12] immunisation,saves [12] teen,immunisation [12] find,more [12] د,پولیو [12] lives,protect [12] #vaccineswork,find Top Word Pairs in Tweet in G6:
[94] everyone,sick [94] feel,everyone [94] destroying,immune [94] immune,system [94] moment,gavi [94] sick,moment [94] system,feel [93] fisherlady111,destroying [93] gavi,vacci [17] #vaccineswork,#vaccinessavelives Top Word Pairs in Tweet in G7:
[30] #bringbackmasks,improve [30] #maskswork,#vaccineswork [30] #covidisairborne,#maskswork [30] #vaccineswork,vaccinate [30] vaccinate,#bringbackmasks [30] air,quality [30] summary,#covidisairborne [30] improve,air [29] jasmith_yorku,summary [26] booster,vaccine Top Word Pairs in Tweet in G8:
[50] immunity,debt [50] misinformation,promote [50] being,used [50] dangerous,theory [50] used,spread [50] debt,theory [50] promote,dangerous [50] theory,being [50] spread,misinformation [50] danger,immunity Top Word Pairs in Tweet in G9:
[22] #vaccinedeath,#vaccineinjuries [19] #vaccinecatastrophe,#stoptheshots [19] #vaccinegenocide,#vaccinedeaths [19] #vaccineinjuries,#vaccinecatastrophe [19] #diedsuddenly,#vaccinegenocide [19] #mrna,#diedsuddenly [19] #stoptheshotsnow,#mrna [19] #stoptheshots,#stoptheshotsnow [18] #crimesagainsthumanity,#vaccineswork [18] #vaccinedeaths,#crimesagainsthumanity Top Word Pairs in Tweet in G10:
[19] #vaccineswork,#depopulationagenda [9] covid,19 [9] #vaccineswork,#agenda2030 [8] #heartattack,#vaccineswork [8] #vaccident,#diedsuddenly [8] #diedsuddenly,#heartattack [7] pro,vaxxers [7] ouchywouchy,#vaccident [7] vaxxers,#vaccineswork [6] arnoldcarling,pro Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: