The graph represents a network of 5,237 Twitter users whose recent tweets contained "immunization", 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 3/8/2023 5:00:33 PM. The network was obtained from Twitter on Thursday, 09 March 2023 at 20:03 UTC.
The tweets in the network were tweeted over the 1437-day, 10-hour, 15-minute period from Monday, 01 April 2019 at 14:44 UTC to Thursday, 09 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 : 5237
Unique Edges : 2000
Edges With Duplicates : 9757
Total Edges : 11757
Number of Edge Types : 9
Retweet : 3850
MentionsInRetweet : 4368
Replies to : 737
MentionsInReplyTo : 1447
Tweet : 696
Mentions : 450
MentionsInQuote : 63
Quote : 97
MentionsInQuoteReply : 49
Self-Loops : 1047
Reciprocated Vertex Pair Ratio : 0.0230975828111012
Reciprocated Edge Ratio : 0.0451522576128806
Connected Components : 693
Single-Vertex Connected Components : 291
Maximum Vertices in a Connected Component : 2683
Maximum Edges in a Connected Component : 6694
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 6.162653
Graph Density : 0.000208380955103933
Modularity : 0.489697
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,237 Twitter users whose recent tweets contained "immunization", 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 3/8/2023 5:00:33 PM. The network was obtained from Twitter on Thursday, 09 March 2023 at 20:03 UTC.
The tweets in the network were tweeted over the 1437-day, 10-hour, 15-minute period from Monday, 01 April 2019 at 14:44 UTC to Thursday, 09 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 : immunization
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:
[565] flying,mulled [565] previously,banned [565] requirement,air [565] canada,previously [565] boosters,requirement [565] mulled,making [565] unvaccinated,flying [565] air,travel [565] banned,unvaccinated [565] making,boosters Top Word Pairs in Tweet in G1:
[547] making,boosters [547] banned,unvaccinated [547] boosters,requirement [547] flying,mulled [547] air,travel [547] mulled,making [547] requirement,air [547] previously,banned [547] canada,previously [547] unvaccinated,flying Top Word Pairs in Tweet in G2:
[410] health,center [205] garyalsmith,funny [205] going,health [205] men,carrying [205] today,seeing [205] center,health [205] center,looking [205] funny,hospital [205] carrying,babies [205] babies,going Top Word Pairs in Tweet in G3:
[111] committee,immunization [111] advisory,committee [97] national,advisory [84] canadians,naci [84] advocating,policy [84] dystopian,future [84] policy,boosting [84] naci,advocating [84] infection,welcome [84] economic,analysis Top Word Pairs in Tweet in G4:
[37] covid,19 [16] immunization,clinics [16] immunization,records [15] immunization,clinic [15] immunization,schedule [11] public,health [11] immunization,record [10] committee,immunization [10] mass,immunization [9] different,sites Top Word Pairs in Tweet in G5:
[242] theoretical,benefit [242] patients,think [242] makes,patients [242] shots,makes [242] frequent,shots [242] chronic,disease [242] benefit,short [242] think,form [242] short,frequent [242] form,chronic Top Word Pairs in Tweet in G6:
[199] fox's,vaccine [199] vaccine,coverage [197] eight,weeks [197] first,eight [196] worse,reviewed [196] coverage,keeps [196] vaccine,segment [196] segment,network [196] getting,worse [196] keeps,getting Top Word Pairs in Tweet in G7:
[232] childhood,immunization [232] jab,routine [232] despite,data [232] schedule,despite [232] cdc,added [232] added,covid [232] data,showing [232] routine,childhood [232] covid,jab [232] showing,stop Top Word Pairs in Tweet in G8:
[31] table,conference [31] round,table [22] routine,immunization [19] pakfightspolio,islamabad [17] global,immunization [16] held,today [16] national,eoc [16] conference,held [16] associations,pima [16] today,national Top Word Pairs in Tweet in G9:
[163] restricts,covid [163] covid,similar [163] high,risk [163] unless,high [163] those,older [163] uk,guidelines [163] 65,unless [163] similar,uk [163] boosters,those [163] covid,boosters Top Word Pairs in Tweet in G10:
[85] education,policy [84] added,line [84] 2020,added [76] policy,2020 [67] school,children [67] children,shall [60] undergo,regular [60] shall,undergo [60] regular,health [60] health,check Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Tweeters in Entire Graph:
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Top Tweeters in G5:
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Top Tweeters in G10: