The graph represents a network of 5,337 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 2/8/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 09 February 2023 at 20:21 UTC.
The tweets in the network were tweeted over the 1450-day, 6-hour, 58-minute period from Tuesday, 19 February 2019 at 18:00 UTC to Thursday, 09 February 2023 at 00:58 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 : 5337
Unique Edges : 1645
Edges With Duplicates : 10192
Total Edges : 11837
Number of Edge Types : 9
Retweet : 4218
MentionsInRetweet : 4701
Replies to : 715
MentionsInReplyTo : 1567
Tweet : 376
Mentions : 180
Quote : 33
MentionsInQuoteReply : 25
MentionsInQuote : 22
Self-Loops : 633
Reciprocated Vertex Pair Ratio : 0.0222665337321369
Reciprocated Edge Ratio : 0.0435630689206762
Connected Components : 424
Single-Vertex Connected Components : 145
Maximum Vertices in a Connected Component : 3919
Maximum Edges in a Connected Component : 9002
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 4.694736
Graph Density : 0.00021602464647384
Modularity : 0.463971
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,337 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 2/8/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 09 February 2023 at 20:21 UTC.
The tweets in the network were tweeted over the 1450-day, 6-hour, 58-minute period from Tuesday, 19 February 2019 at 18:00 UTC to Thursday, 09 February 2023 at 00:58 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:
[3178] national,immunisation [3172] immunisation,programme [3127] urgently,recruiting [3127] recruiting,national [3127] programme,expected [3126] government,currently [3126] currently,urgently [2244] berniespofforth,government [880] nbreavington,government [167] joint,committee Top Word Pairs in Tweet in G1:
[2047] national,immunisation [2046] immunisation,programme [2044] urgently,recruiting [2044] recruiting,national [2044] currently,urgently [2044] programme,expected [2044] government,currently [2043] berniespofforth,government [2] thanks,thanks Top Word Pairs in Tweet in G2:
[1046] urgently,recruiting [1046] national,immunisation [1046] recruiting,national [1046] immunisation,programme [1046] programme,expected [1045] currently,urgently [1045] government,currently [868] nbreavington,government [176] berniespofforth,government [25] joint,committee Top Word Pairs in Tweet in G3:
[50] atagi,looking [50] described,below [50] people,expertise [50] below,given [50] unfettered,disaster [50] disaster,atagi [50] atagi,iceg [50] expertise,described [50] looking,people [50] given,unfettered Top Word Pairs in Tweet in G4:
[17] covid,19 [13] national,immunisation [12] hpv,vaccine [11] immunisation,programme [9] vaccination,immunisation [9] childhood,immunisation [8] advisory,group [8] technical,advisory [8] committee,vaccination [8] group,immunisation Top Word Pairs in Tweet in G5:
[76] committee,vaccination [76] joint,committee [62] vaccination,programme [61] covid,vaccination [61] 2023,advice [61] changing,covid [61] programme,2023 [61] advice,joint [47] icymi,changing [46] dhscgovuk,icymi Top Word Pairs in Tweet in G6:
[11] routine,vaccinations [8] covid,19 [7] scheduled,milestones [7] possible,scheduled [7] close,possible [7] child,routine [7] given,close [7] vaccinations,need [7] milestones,each [7] need,given Top Word Pairs in Tweet in G7:
[35] routine,immunisation [28] givers,ensure [28] care,givers [28] parents,care [28] ensure,children [26] healthza,healthza [23] healthza,urges [23] urges,parents [23] immunisation,call [23] children,date Top Word Pairs in Tweet in G8:
[18] much,unlikely [18] sense,vaccinate [18] vaccinate,nine [18] disease,very [18] zero,sense [18] 12,year [18] year,old [18] old,girls [18] very,much [18] unlikely,hit Top Word Pairs in Tweet in G9:
[74] oct,presentation [74] massive,shift [74] already,clear [74] risk,benefit [74] vaccine,risk [74] presentation,joint [74] despite,massive [74] benefit,analysis [74] clear,oct [74] shift,vaccine Top Word Pairs in Tweet in G10:
[47] critical,enabler [47] success,india's [47] cowin,digital [47] platform,developed [47] narendramodi,govt [47] developed,pm [47] digital,platform [47] india's,covid [47] enabler,success [47] govt,critical 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: