The graph represents a network of 5,240 Twitter users whose recent tweets contained "Immunisation", 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 3/15/2023 5:00:36 PM. The network was obtained from Twitter on Thursday, 16 March 2023 at 19:36 UTC.
The tweets in the network were tweeted over the 1700-day, 8-hour, 2-minute period from Thursday, 19 July 2018 at 15:58 UTC to Thursday, 16 March 2023 at 00:00 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 : 5240
Unique Edges : 1904
Edges With Duplicates : 9238
Total Edges : 11142
Number of Edge Types : 9
Quote : 52
Tweet : 749
Retweet : 3823
MentionsInRetweet : 4176
Replies to : 595
MentionsInReplyTo : 1349
Mentions : 342
MentionsInQuote : 40
MentionsInQuoteReply : 16
Self-Loops : 955
Reciprocated Vertex Pair Ratio : 0.0250228310502283
Reciprocated Edge Ratio : 0.048823948681397
Connected Components : 713
Single-Vertex Connected Components : 329
Maximum Vertices in a Connected Component : 1628
Maximum Edges in a Connected Component : 3713
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.081239
Graph Density : 0.000204426868946786
Modularity : 0.489501
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,240 Twitter users whose recent tweets contained "Immunisation", 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 3/15/2023 5:00:36 PM. The network was obtained from Twitter on Thursday, 16 March 2023 at 19:36 UTC.
The tweets in the network were tweeted over the 1700-day, 8-hour, 2-minute period from Thursday, 19 July 2018 at 15:58 UTC to Thursday, 16 March 2023 at 00:00 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 : Immunisation
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:
[1766] immunisation,drive [1728] seize,opportunity [1640] 16,districts [1631] districts,sindh [1592] sindh,seize [1592] opportunity,protect [1576] underway,16 [1576] targeted,#polio [1576] drive,underway [1576] #polio,immunisation Top Word Pairs in Tweet in G1:
[1759] immunisation,drive [1723] seize,opportunity [1628] 16,districts [1624] districts,sindh [1587] sindh,seize [1587] opportunity,protect [1571] drive,underway [1571] underway,16 [1571] #polio,immunisation [1571] targeted,#polio Top Word Pairs in Tweet in G2:
[290] spring,booster [280] highest,risk [280] offered,people [280] risk,severe [280] people,highest [280] severe,illness [277] vaccine,offered [269] booster,dose [269] dose,covid [251] covid,vaccine Top Word Pairs in Tweet in G3:
[391] crore,pregnant [391] pregnant,women [200] immunisation,programme [196] women,enrolled [196] yojana,over [196] vandana,yojana [196] under,pradhan [196] over,28 [196] enrolled,under [196] mantri,matru Top Word Pairs in Tweet in G4:
[176] vaccine,safety [175] report,2021 [157] 10,428 [155] damaging,evidence [155] evidence,western [155] 428,vaccine [155] 2021,released [155] safety,report [155] western,australia [155] released,10 Top Word Pairs in Tweet in G5:
[87] over,august [87] gavi,global [87] immunisation,take [87] alliance,vaccines [87] august,2023 [87] ceo,gavi [87] 2023,looking [87] take,over [87] global,alliance [87] vaccines,immunisation Top Word Pairs in Tweet in G6:
[11] covid,19 [9] head,immunisation [9] 19,still [9] health,security [9] ramsay,head [9] agency,covid [9] still,circulating [9] security,agency [9] mary,ramsay [9] immunisation,uk Top Word Pairs in Tweet in G7:
[33] 1st,annual [33] #foreverychild,committing [33] committing,together [33] delivery,government [33] government,led [33] together,1st [33] annual,delivery [33] vaccine,procurement [33] delivering,#foreverychild [33] led,vaccine Top Word Pairs in Tweet in G8:
[81] hpv,vaccine [76] laura,brennan [43] brennan,hpv [35] vaccine,catch [34] catch,programme [28] today,#hpvawarenessday [26] programme,gives [25] gives,people [20] vaccine,school [19] gives,substantial Top Word Pairs in Tweet in G9:
[19] dhule,district [18] 15,year [18] hours,c19 [18] year,old [18] village,dhule [18] old,girl [18] died,suddenly [18] suddenly,24 [18] injection,shirpur [18] 24,hours Top Word Pairs in Tweet in G10:
[56] matt,hancock [55] vaccine,used [54] whats,app [54] bullshit,vaccine [54] hancock,leaked [54] evidence,bullshit [54] leaked,whats [54] app,see [54] see,evidence [52] berniespofforth,matt Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G5:
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:
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: