The graph represents a network of 6,127 Twitter users whose recent tweets contained "vaccine OR vaccination", 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 3/5/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 06 March 2023 at 02:49 UTC.
The tweets in the network were tweeted over the 1391-day, 4-hour, 18-minute period from Tuesday, 14 May 2019 at 20:42 UTC to Monday, 06 March 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 : 6127
Unique Edges : 3270
Edges With Duplicates : 11732
Total Edges : 15002
Number of Edge Types : 9
Retweet : 3807
MentionsInRetweet : 4775
Replies to : 1617
MentionsInReplyTo : 3455
Tweet : 830
Mentions : 290
Quote : 93
MentionsInQuote : 72
MentionsInQuoteReply : 63
Self-Loops : 1010
Reciprocated Vertex Pair Ratio : 0.0247055811571941
Reciprocated Edge Ratio : 0.0482198625858838
Connected Components : 718
Single-Vertex Connected Components : 145
Maximum Vertices in a Connected Component : 3873
Maximum Edges in a Connected Component : 10793
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.731003
Graph Density : 0.000213273287511414
Modularity : 0.49995
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,127 Twitter users whose recent tweets contained "vaccine OR vaccination", 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 3/5/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 06 March 2023 at 02:49 UTC.
The tweets in the network were tweeted over the 1391-day, 4-hour, 18-minute period from Tuesday, 14 May 2019 at 20:42 UTC to Monday, 06 March 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 : vaccine OR vaccination
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:
[907] covid,vaccine [536] vaccine,found [522] scientist,created [507] first,covid [504] created,first [376] strangled,death [364] bill,gates [342] found,strangled [336] covid,19 [326] andrey,botikov Top Word Pairs in Tweet in G1:
[135] vaccine,injuries [133] vigilantfox,vaccine [133] way,stay [132] take,vaccines [132] p_mcculloughmd,people [132] take,things [132] healthy,take [132] injuries,way [132] things,p_mcculloughmd [132] people,take Top Word Pairs in Tweet in G2:
[67] bill,gates [49] vaccine,deaths [49] vaccine,murder [48] accused,pandemic [48] murder,india [48] gates,vaccine [48] worldwide,bill [48] deaths,worldwide [48] two,vaccine [48] being,accused Top Word Pairs in Tweet in G3:
[251] covid,vaccine [249] found,strangled [249] strangled,death [242] andrey,botikov [241] botikov,scientist [241] scientist,created [241] first,covid [241] created,first [241] vaccine,found [241] breaking,andrey Top Word Pairs in Tweet in G4:
[204] covid,vaccine [202] vaccine,found [201] scientist,created [201] first,covid [201] created,first [186] found,dead [185] breaking,scientist [185] dead,apartment [182] davidwolfe,breaking [19] davidwolfe,interesting Top Word Pairs in Tweet in G5:
[126] against,vaccine [126] stand,against [19] rycunni,nothing [12] covid,19 [11] side,effects [9] health,security [9] lead,support [9] supply,operations [9] vaccine,supply [9] listing,last Top Word Pairs in Tweet in G6:
[115] 19,vaccine [106] vaccine,donating [106] individuals,received [106] donating,blood [106] bill,plans [106] received,19 [106] making,misdemeanor [106] ban,individuals [106] blood,making [106] montana,bill Top Word Pairs in Tweet in G7:
[125] bill,gates [84] wanted,philippines [84] gates,currently [84] countries,genocide [84] begin,bill [84] currently,wanted [84] asian,countries [84] philippines,asian [83] yankeecowboy24,begin [29] vaccine,passports Top Word Pairs in Tweet in G8:
[26] covid,19 [20] covid,vaccine [11] 19,vaccine [9] vaccine,found [6] russian,scientist [6] strangled,death [6] found,strangled [5] scientist,helped [5] sputnik,covid [5] mrna,vaccines Top Word Pairs in Tweet in G9:
[100] being,threatened [100] forced,being [100] threatened,forced [100] hours,being [100] being,vaccinated [100] died,middle [100] middle,kitchen [100] vaccinated,died [100] mother,died [100] died,hours Top Word Pairs in Tweet in G10:
[78] wiped,evidence [78] evidence,life [78] listen,very [78] entire,life [78] life,vaccination [78] life,records [78] deceased,daughter [78] daughter,please [78] records,wiped [78] vaccination,deceased Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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:
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Top Mentioned in G6:
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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:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: