The graph represents a network of 4,079 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, 22 December 2022 at 20:22 UTC.
The requested start date was Thursday, 22 December 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, 23-hour, 6-minute period from Thursday, 08 December 2022 at 01:25 UTC to Thursday, 22 December 2022 at 00:32 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 : 4079
Unique Edges : 2290
Edges With Duplicates : 6004
Total Edges : 8294
Number of Edge Types : 5
Replies to : 469
Retweet : 2602
MentionsInRetweet : 3639
Tweet : 565
Mentions : 1019
Self-Loops : 584
Reciprocated Vertex Pair Ratio : 0.0119021379766365
Reciprocated Edge Ratio : 0.0235242866477892
Connected Components : 612
Single-Vertex Connected Components : 221
Maximum Vertices in a Connected Component : 1233
Maximum Edges in a Connected Component : 2585
Maximum Geodesic Distance (Diameter) : 30
Average Geodesic Distance : 9.398847
Graph Density : 0.000275998273913648
Modularity : 0.55155
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,079 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, 22 December 2022 at 20:22 UTC.
The requested start date was Thursday, 22 December 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, 23-hour, 6-minute period from Thursday, 08 December 2022 at 01:25 UTC to Thursday, 22 December 2022 at 00:32 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:
[670] hpv,vaccine [656] hon'ble,cm [654] under,hon'ble [654] seeing,enormous [654] health,sector [654] enormous,transformation [654] transformation,under [654] sector,seeing [654] bengal's,health [642] cm,mamataofficial Top Word Pairs in Tweet in G1:
[654] transformation,under [654] hon'ble,cm [654] under,hon'ble [654] enormous,transformation [654] health,sector [654] seeing,enormous [654] sector,seeing [654] bengal's,health [642] cm,mamataofficial [581] leading,immunisation Top Word Pairs in Tweet in G2:
[20] immunisation,programme [18] hpv,vaccine [18] national,immunisation [17] following,immunisation [16] cervical,cancer [16] covid,19 [15] adverse,events [13] events,following [12] advisory,group [12] threats,doctors Top Word Pairs in Tweet in G3:
[181] surges,respiratory [181] respiratory,viruses [181] circulation,bugs [181] viruses,blamed [181] reduced,circulation [181] bugs,during [181] recent,surges [181] blamed,causes [181] causes,reduced [180] during,pande Top Word Pairs in Tweet in G4:
[354] hpv,vaccine [177] girls,14 [177] delhi,cervical [177] provide,hpv [177] cervical,cancer [177] vaccine,hope [177] vaccine,girls [177] soon,provide [177] india,soon [177] curable,hpv Top Word Pairs in Tweet in G5:
[165] laura,brennan [150] hpv,vaccine [131] brennan,hpv [90] vaccine,catch [86] catch,programme [54] age,16 [53] vaccination,programme [49] catch,vaccination [32] programme,gives [31] people,eligible Top Word Pairs in Tweet in G6:
[116] special,immunisation [116] immunisation,drive [101] lakhimpur,district [100] under,child [100] visit,lakhimpur [100] launched,special [100] ghunasuti,under [100] during,visit [100] drive,ghunasuti [100] district,launched Top Word Pairs in Tweet in G7:
[72] omicron,variants [72] delta,omicron [72] variants,hamster [72] model,chrome [72] efficacy,covaxin [72] chrome,extension [72] hamster,model [72] covaxin,against [72] protective,efficacy [72] against,delta Top Word Pairs in Tweet in G8:
[81] joint,committee [56] vaccination,immunisation [52] think,14 [52] don,think [52] kind,worrying [52] worrying,don [52] work,organisations [52] jcvi,work [52] immunisation,jcvi [52] committee,vaccination Top Word Pairs in Tweet in G9:
[13] safe,effective [13] vaccines,prevent [13] better,immunity [13] immunity,safe [13] working,gavi [13] undp_india,working [13] deadly,illnesses [13] provide,better [13] illnesses,provide [13] prevent,deadly Top Word Pairs in Tweet in G10:
[61] hrh,sheikha [61] moza,bint [61] bint,naser [61] honored,part [61] sheikha,moza [61] alongside,hrh [61] campaign,alongside [61] initiative,#walktozero [61] #walktozero,campaign [61] great,initiative Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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:
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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: