The graph represents a network of 7,074 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, 25 August 2022 at 19:24 UTC.
The requested start date was Thursday, 25 August 2022 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 13-day, 23-hour, 18-minute period from Thursday, 11 August 2022 at 00:08 UTC to Wednesday, 24 August 2022 at 23:27 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 : 7074
Unique Edges : 2786
Edges With Duplicates : 10771
Total Edges : 13557
Number of Edge Types : 5
Retweet : 5168
MentionsInRetweet : 5900
Tweet : 762
Mentions : 1246
Replies to : 481
Self-Loops : 788
Reciprocated Vertex Pair Ratio : 0.00950937155457552
Reciprocated Edge Ratio : 0.018839590443686
Connected Components : 849
Single-Vertex Connected Components : 368
Maximum Vertices in a Connected Component : 2833
Maximum Edges in a Connected Component : 5698
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 3.70676
Graph Density : 0.000146399271445275
Modularity : 0.509102
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 7,074 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, 25 August 2022 at 19:24 UTC.
The requested start date was Thursday, 25 August 2022 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 13-day, 23-hour, 18-minute period from Thursday, 11 August 2022 at 00:08 UTC to Wednesday, 24 August 2022 at 23:27 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:
[2868] bill,melinda [2866] melinda,gates [2865] won,bill [2843] immunisation,given [2838] gates,award [2838] award,immunisation [2837] peter,obi [2837] obi,won [2837] given,personal [2837] cash,prize Top Word Pairs in Tweet in G1:
[2822] bill,melinda [2820] won,bill [2820] melinda,gates [2819] peter,obi [2819] obi,won [2819] gates,award [2819] award,immunisation [2819] immunisation,given [2819] given,personal [2819] personal,cash Top Word Pairs in Tweet in G2:
[61] health,policy [61] policy,today [61] today,india [61] india,aimed [61] aimed,individual [61] individual,india [61] india,focused [61] focused,nationwide [61] nationwide,immunisation [60] #pmonsrm,health Top Word Pairs in Tweet in G3:
[119] india's,youngest [119] youngest,pm [119] pm,#rajivgandhi [119] #rajivgandhi,raised [119] raised,india [119] india,stature [119] stature,premier [119] premier,nation [119] nation,several [119] several,fields Top Word Pairs in Tweet in G4:
[109] joint,committee [108] committee,vaccination [108] vaccination,immunisation [105] immunisation,jcvi [97] jcvi,published [97] published,advice [97] advice,vaccines [97] vaccines,offered [95] dhscgovuk,joint [91] independent,medicines Top Word Pairs in Tweet in G5:
[177] #digitalindia,#cowin [177] #cowin,#platform [177] #platform,handle [177] handle,minute [177] minute,details [177] details,#india [177] #india,#covid19 [177] #covid19,#immunisation [177] #immunisation,prog [177] prog,registering Top Word Pairs in Tweet in G6:
[64] routine,immunisation [30] rotavirus,vaccine [24] health,systems [19] introduction,rotavirus [19] nigeria,routine [18] week,nphcdang [18] nphcdang,held [18] held,event [18] event,marking [18] marking,introduction Top Word Pairs in Tweet in G7:
[21] immunisation,services [21] routine,immunisation [15] 45,53 [15] 53,who_europe [15] who_europe,countries [15] countries,rubella [15] rubella,free [15] free,despite [15] despite,pandemic [15] pandemic,related Top Word Pairs in Tweet in G8:
[2] roblev0,samanthafoxy1 [2] samanthafoxy1,begentle50 [2] begentle50,shaneja16905901 [2] shaneja16905901,bonnieblackmor7 [2] bonnieblackmor7,david19531501 [2] david19531501,davidmetroland [2] davidmetroland,brianbloop2 [2] brianbloop2,thegrimbarian [2] thegrimbarian,ciolfilicious1 [2] ciolfilicious1,brunothebridge Top Word Pairs in Tweet in G9:
[28] covid,19 [22] vax,rates [21] health,experts [20] experts,worried [20] worried,measles [20] measles,outbreak [20] outbreak,protect [20] protect,tamariki [20] tamariki,against [20] against,measles Top Word Pairs in Tweet in G10:
[35] 11,million [35] million,infants [35] infants,unvaccinated [35] unvaccinated,under [35] under,vaccinated [35] vaccinated,whoafro [35] whoafro,region [35] region,#rc72afro [35] #rc72afro,urged [35] urged,countries Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
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:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: