The graph represents a network of 4,838 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 2/19/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 20 February 2023 at 03:51 UTC.
The tweets in the network were tweeted over the 2144-day, 11-hour, 43-minute period from Friday, 07 April 2017 at 13:00 UTC to Monday, 20 February 2023 at 00:44 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 : 4838
Unique Edges : 3076
Edges With Duplicates : 9656
Total Edges : 12732
Number of Edge Types : 9
MentionsInReplyTo : 2092
Mentions : 732
MentionsInQuote : 97
Quote : 283
Tweet : 1020
Retweet : 3422
MentionsInRetweet : 4300
Replies to : 741
MentionsInQuoteReply : 45
Self-Loops : 1367
Reciprocated Vertex Pair Ratio : 0.0254251279511309
Reciprocated Edge Ratio : 0.0495894380937047
Connected Components : 513
Single-Vertex Connected Components : 191
Maximum Vertices in a Connected Component : 3191
Maximum Edges in a Connected Component : 9635
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 7.090188
Graph Density : 0.000265411403058432
Modularity : 0.479475
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,838 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 2/19/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 20 February 2023 at 03:51 UTC.
The tweets in the network were tweeted over the 2144-day, 11-hour, 43-minute period from Friday, 07 April 2017 at 13:00 UTC to Monday, 20 February 2023 at 00:44 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:
[286] covid,19 [173] brought,#pfizer [173] #pfizer,moderna [173] #wef,#fauci [173] #fauci,#biden [173] #dod,#ccp [173] allowed,fly [173] #ccp,allowed [173] #biden,#dod [173] another,#diedsuddenly Top Word Pairs in Tweet in G1:
[37] bill,gates [36] protect,against [31] covid,19 [29] economic,benefits [28] 474,billion [26] benefits,2050 [25] dr,muhammadpate [24] bird,flu [23] cervical,cancer [22] billion,economic Top Word Pairs in Tweet in G2:
[45] those,don [45] boise,pharmacist [45] another,job [45] job,those [45] interfered,rogue [45] denying,boise [45] health,care [45] look,another [45] pharmacist,look [45] don,health Top Word Pairs in Tweet in G3:
[18] covid,19 [11] #vaccines,#vaccineswork [9] #vaccinesideeffects,#vaccines [9] #vaccinegenocide,#vaccinedeaths [9] #vaccinedeath,#vaccineinjuries [9] #vaccineswork,#themoreyouknow [8] #depopulationagenda,#vaccinedeath [8] #autismawareness,#vaccinesideeffects [8] #cdc,#vaccineinjuries [8] #stoptheshots,#stopthejabs Top Word Pairs in Tweet in G4:
[36] #vaccinedeath,#vaccinemandates [35] #vaccineswork,#vaccinedeath [34] #genocide,#trumpisanationaldisgrace [34] #usa,#covid19 [34] #covid19,#vaccineswork [34] #vaccineinjuries,#genocide [34] #vaccinemandates,#vaccineinjuries [26] #vaccinegenocide,#agenda2030 [26] #climatejustice,#digitaltransformation [26] #trending,destruction Top Word Pairs in Tweet in G5:
[169] #ccp,allowed [169] #wef,#fauci [169] #fauci,#biden [169] allowed,fly [169] #biden,#dod [169] #dod,#ccp [169] moderna,#wef [169] brought,#pfizer [169] #pfizer,moderna [169] another,#diedsuddenly Top Word Pairs in Tweet in G6:
[125] minutes,before [125] ben,idir [125] mehenni,died [125] one,24 [125] idir,mehenni [125] player,felt [125] another,one [125] few,minutes [125] 24,2023 [125] heart,attack Top Word Pairs in Tweet in G7:
[34] covid,19 [32] group,language [32] vaccines,kind [32] more,740 [32] covid,vaccines [32] 740,tweets [32] kind,group [32] tweets,covid [32] surges,more [32] died,suddenly Top Word Pairs in Tweet in G8:
[126] sub,national [125] national,polio [92] بچوں,کو [61] 13,february [61] immunisation,campaign [60] polio,immunisation [60] vaccination,target [60] february,sub [58] مہم,کے [55] pakfightspolio,13 Top Word Pairs in Tweet in G9:
[71] continue,driving [71] vaccinated,allowed [71] day,vaccinated [71] driving,suddenly [71] allowed,continue [71] lose,control [71] thought,day [71] suddenly,lose [70] abolishwokeness,thought [39] pandemic,always Top Word Pairs in Tweet in G10:
[2] keithamccluskey,skrued1 [2] mugger124,ylesine34440870 [2] rln_nelson,medbennett [2] medbennett,grimasaur [2] conspiracy,nutcases [2] willwat6,sgmtrailbuilder [2] deva0706,organicdot [2] jagster20548365,newnormality20 [2] shicks_sam,narvuntien [2] glinch72,ianrowley677 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G7:
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:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: