The graph represents a network of 8,610 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, 27 January 2022 at 21:37 UTC.
The requested start date was Thursday, 27 January 2022 at 01:01 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 13-day, 7-hour, 0-minute period from Thursday, 13 January 2022 at 17:51 UTC to Thursday, 27 January 2022 at 00:52 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 : 8610
Unique Edges : 5400
Edges With Duplicates : 11015
Total Edges : 16415
Number of Edge Types : 5
Retweet : 4947
MentionsInRetweet : 6639
Tweet : 1123
Replies to : 1317
Mentions : 2389
Self-Loops : 1177
Reciprocated Vertex Pair Ratio : 0.00988835725677831
Reciprocated Edge Ratio : 0.0195830701200253
Connected Components : 1330
Single-Vertex Connected Components : 479
Maximum Vertices in a Connected Component : 3595
Maximum Edges in a Connected Component : 8010
Maximum Geodesic Distance (Diameter) : 35
Average Geodesic Distance : 12.520993
Graph Density : 0.000128137517539986
Modularity : 0.587518
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,610 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, 27 January 2022 at 21:37 UTC.
The requested start date was Thursday, 27 January 2022 at 01:01 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 13-day, 7-hour, 0-minute period from Thursday, 13 January 2022 at 17:51 UTC to Thursday, 27 January 2022 at 00:52 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:
[567] covid,19 [555] vaccines,immunisation [484] immunisation,guardian [339] immunisation,campaign [276] childhood,immunisation [275] noors,instituut [275] instituut,volksgezondheid [275] volksgezondheid,rivm [275] rivm,pleit [275] pleit,ervoor Top Word Pairs in Tweet in G1:
[91] covid,19 [70] vaccines,immunisation [66] immunisation,guardian [51] covid,booster [49] booster,jabs [49] jabs,england [49] england,thrown [49] thrown,away [49] away,demand [49] demand,falls Top Word Pairs in Tweet in G2:
[274] noors,instituut [274] instituut,volksgezondheid [274] volksgezondheid,rivm [274] rivm,pleit [274] pleit,ervoor [274] ervoor,bij [274] bij,kinderen [274] kinderen,jong [274] jong,volwassenen [273] vegtdoor,noors Top Word Pairs in Tweet in G3:
[150] pmoindia,narendramodi [149] #justicefor15yearoldaarya,pmoindia [149] narendramodi,supposed [149] supposed,self [149] self,certified [149] certified,communicating [149] communicating,pm [146] vmaya11156,#justicefor15yearoldaarya [146] pm,sile [141] covid,vaccination Top Word Pairs in Tweet in G4:
[180] polio,immunisation [115] house,house [114] national,house [103] house,polio [98] children,below [81] immunisation,campaign [71] mass,polio [70] rate,brown [70] brown,skinned [70] skinned,women Top Word Pairs in Tweet in G5:
[272] immunisation,guardian [271] vaccines,immunisation [150] warning,over [150] mandate,nhs [150] nhs,staff [150] staff,england [149] health,department [149] department,warning [144] over,vaccine [144] vaccine,mandate Top Word Pairs in Tweet in G6:
[51] immunisation,programmes [33] worked,national [33] national,reference [33] reference,laboratory [32] laboratory,epidemiology [32] epidemiology,immunisation [32] programmes,vaccines [27] having,worked [24] near,four [24] four,decade Top Word Pairs in Tweet in G7:
[136] obligatoire,canada [135] n'est,obligatoire [135] canada,peut [133] peut,devenir [125] loi,canadienne [125] canadienne,intéressante [125] intéressante,l'immunisation [125] l'immunisation,juste [125] juste,vaccination [125] vaccination,n'est Top Word Pairs in Tweet in G8:
[188] immunisation,clinic [187] working,next [187] next,door [187] door,room [187] room,childhood [187] childhood,immunisation [187] clinic,babies [187] babies,children [187] children,coming [187] coming,imms Top Word Pairs in Tweet in G9:
[165] naralokesh,sri [165] sri,nara [165] nara,lokesh [165] lokesh,garu [165] garu,thank [165] thank,greetings [165] greetings,wishes [165] wishes,conveyed [165] conveyed,covaxinin [165] covaxinin,bharatbiotech Top Word Pairs in Tweet in G10:
[44] 18,c'est [44] c'est,ce [44] ce,point [44] point,pose [44] pose,problème [44] problème,stratégie [44] stratégie,laisser [44] laisser,filer [44] filer,100 [44] 100,uniquement Top Replied-To in Entire Graph:
Top Replied-To in G2:
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 G8:
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: