The graph represents a network of 6,112 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 1/11/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 12 January 2023 at 20:22 UTC.
The tweets in the network were tweeted over the 1722-day, 6-hour, 10-minute period from Wednesday, 25 April 2018 at 18:42 UTC to Thursday, 12 January 2023 at 00:53 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 : 6112
Unique Edges : 2954
Edges With Duplicates : 10503
Total Edges : 13457
Number of Edge Types : 9
MentionsInReplyTo : 3246
Replies to : 1443
Retweet : 3309
MentionsInRetweet : 3844
Mentions : 421
Tweet : 862
MentionsInQuoteReply : 170
Quote : 103
MentionsInQuote : 59
Self-Loops : 1265
Reciprocated Vertex Pair Ratio : 0.0429087624209575
Reciprocated Edge Ratio : 0.0822867042009528
Connected Components : 886
Single-Vertex Connected Components : 301
Maximum Vertices in a Connected Component : 2197
Maximum Edges in a Connected Component : 5785
Maximum Geodesic Distance (Diameter) : 32
Average Geodesic Distance : 10.72242
Graph Density : 0.000185459702313483
Modularity : 0.513122
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,112 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 1/11/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 12 January 2023 at 20:22 UTC.
The tweets in the network were tweeted over the 1722-day, 6-hour, 10-minute period from Wednesday, 25 April 2018 at 18:42 UTC to Thursday, 12 January 2023 at 00:53 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:
[1087] immunisation,programme [916] during,bill [916] each,state [916] gate,immunisation [916] 250k,dollars [916] nigeria,each [916] contribute,250k [916] programme,nigeria [916] bill,gate [916] state,contribute Top Word Pairs in Tweet in G1:
[913] dollars,counterpart [913] contribute,250k [913] 250k,dollars [913] during,bill [913] each,state [913] counterpart,fund [913] 2013,during [913] bill,gate [913] programme,nigeria [913] gate,immunisation Top Word Pairs in Tweet in G2:
[51] covid,19 [25] immunisation,programme [18] following,immunisation [17] immunisation,team [15] covid,vaccine [14] adverse,events [13] events,following [12] immunisation,schedule [12] censored,public [12] national,immunisation Top Word Pairs in Tweet in G3:
[17] more,people [16] conclude,well [16] haven't,responded [16] vaccination,include [16] responded,vaccination [16] people,haven't [16] include,offering [16] well,more [15] drlennardlee,conclude [15] cancer,patients Top Word Pairs in Tweet in G4:
[34] protect,lives [34] public,health [34] 2023,commitment [34] health,well [34] lives,pandemic [34] pandemic,waves [34] being,protect [34] well,being [34] waves,pls [34] pls,don Top Word Pairs in Tweet in G5:
[23] australian,immunisation [16] immunisation,register [15] immunisation,record [14] child,routine [14] close,possible [14] vaccinations,need [14] need,given [14] scheduled,milestones [14] possible,scheduled [14] routine,vaccinations Top Word Pairs in Tweet in G6:
[121] china,already [121] circulating,eu [121] eu,such [121] variants,circulating [121] already,circulating [121] circulating,china [120] challenging,immune [120] such,challenging [119] #sarscov2,variants [118] ecdc_eu,#sarscov2 Top Word Pairs in Tweet in G7:
[22] day,accounts [22] kills,three [22] three,people [22] malawi,day [22] admissions,upcoming [22] accounts,15 [22] 15,hospital [22] upcoming,inclusion [22] people,malawi [22] hospital,admissions Top Word Pairs in Tweet in G8:
[206] generic,medicine [206] demand,generic [103] 40,usa's [103] usa's,demand [103] medicine,40 [103] india,supplies [103] supplies,approx [103] approx,50 [103] 50,africa's [103] africa's,demand Top Word Pairs in Tweet in G9:
[68] immunisation,programme [67] universal,immunisation [67] under,universal [58] vaccine,under [58] immunization,schedule [58] hpv,vaccine [58] included,immunization [58] slyly,hpv [58] programme,included [36] schedule,anyhow Top Word Pairs in Tweet in G10:
[63] vaers,well [63] missing,entry [63] 'death',injection [63] meddra,code [63] well,meddra [63] injection,date [63] date,missing [63] yes,vaers [63] code,listed [63] listed,'death' Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: