The graph represents a network of 7,617 Twitter users whose tweets in the requested range contained "Immunisation", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 29 October 2020 at 20:36 UTC.
The requested start date was Thursday, 29 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 8-day, 10-hour, 23-minute period from Tuesday, 20 October 2020 at 13:12 UTC to Wednesday, 28 October 2020 at 23:35 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 7617
Unique Edges : 4084
Edges With Duplicates : 11171
Total Edges : 15255
Number of Edge Types : 5
Replies to : 490
Retweet : 5172
MentionsInRetweet : 6533
Mentions : 1454
Tweet : 1606
Self-Loops : 1637
Reciprocated Vertex Pair Ratio : 0.0110048473732477
Reciprocated Edge Ratio : 0.0217701179214721
Connected Components : 1571
Single-Vertex Connected Components : 980
Maximum Vertices in a Connected Component : 3989
Maximum Edges in a Connected Component : 10191
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 7.218858
Graph Density : 0.00013302632987027
Modularity : 0.525339
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 7,617 Twitter users whose tweets in the requested range contained "Immunisation", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 29 October 2020 at 20:36 UTC.
The requested start date was Thursday, 29 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 8-day, 10-hour, 23-minute period from Tuesday, 20 October 2020 at 13:12 UTC to Wednesday, 28 October 2020 at 23:35 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
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:
[1184] pinning,hopes [1057] covid,vaccine [1036] immunisation,programme [958] hopes,covid [830] universal,immunisation [777] rajiv,gandhi [738] dose,realism [730] here's,dose [709] launched,universal [708] gandhi,led Top Word Pairs in Tweet in G1:
[353] dose,realism [351] pinning,hopes [349] here's,dose [347] covid,vaccine [341] vaccine,here's [340] hopes,covid [274] david,salisbury [260] realism,david [76] vaccine,included [76] immunisation,plan Top Word Pairs in Tweet in G2:
[427] pinning,hopes [422] informed,factual [422] factual,article [422] article,promises [422] promises,limitations [422] limitations,#covid19 [422] #covid19,vaccination [422] vaccination,pinning [421] ballouxfrancois,informed [355] 'infection,blocking Top Word Pairs in Tweet in G3:
[768] rajiv,gandhi [720] universal,immunisation [720] immunisation,programme [706] gandhi,led [703] 1985,shri [703] shri,rajiv [703] led,incindia [703] incindia,govt [703] govt,launched [703] launched,universal Top Word Pairs in Tweet in G4:
[255] hopes,covid [255] covid,vaccine [255] vaccine,read [255] read,topsy [255] topsy,turvy [255] turvy,circular [255] circular,pharma [255] pharma,propaganda [255] propaganda,end [255] end,need Top Word Pairs in Tweet in G5:
[130] public,private [130] private,model [130] covid,19 [129] india,needs [129] needs,public [128] model,covid [128] 19,immunisation [79] immunisation,orfonline [76] rspchary,india [49] speed,scale Top Word Pairs in Tweet in G6:
[60] matthancock,immunisation [57] immunisation,currently [57] currently,prevents [57] deaths,year [56] prevents,million [56] million,deaths [50] year,rolling [50] rolling,largest [50] largest,flu [50] flu,vaccination Top Word Pairs in Tweet in G7:
[93] pinning,hopes [93] vaccine,here's [93] here's,dose [93] dose,realism [82] hopes,covid [82] covid,vaccine [74] realism,david [74] david,salisbury [70] guardian,pinning [21] immunisation,programme Top Word Pairs in Tweet in G8:
[106] china's,sinovac [106] vaccine,included [102] immunisation,plan [101] covid,china's [101] sinovac,vaccine [101] included,brazil [101] brazil,immunisation [98] bbcworld,covid [29] immunisation,programme [24] covid,19 Top Word Pairs in Tweet in G9:
[102] covid,19 [100] 19,vaccine [82] having,vaccines [82] vaccines,big [82] big,delighted [82] delighted,covid [82] vaccine,75 [82] 75,effective [82] effective,preventing [81] profpcdoherty,having Top Word Pairs in Tweet in G10:
[2] frankdelia7,dreadpirrob42 [2] paulvcooper1,krebiozen [2] paulcaw05364381,flitesurgn [2] flitesurgn,7_dsseven [2] 7_dsseven,swedishchf [2] hmem11,mcfunny [2] mcfunny,tinfoilawards [2] charitable_fury,mstrixter [2] mstrixter,just4thecause [2] just4thecause,lesleystock5 Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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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:
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Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: