The graph represents a network of 8,692 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, 07 October 2021 at 20:40 UTC.
The requested start date was Thursday, 07 October 2021 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 11-day, 6-hour, 15-minute period from Saturday, 25 September 2021 at 04:29 UTC to Wednesday, 06 October 2021 at 10:45 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 : 8692
Unique Edges : 4609
Edges With Duplicates : 11083
Total Edges : 15692
Number of Edge Types : 5
Retweet : 5118
MentionsInRetweet : 6128
Replies to : 1256
Mentions : 2164
Tweet : 1026
Self-Loops : 1063
Reciprocated Vertex Pair Ratio : 0.0100289725874749
Reciprocated Edge Ratio : 0.0198587819947043
Connected Components : 1185
Single-Vertex Connected Components : 422
Maximum Vertices in a Connected Component : 3975
Maximum Edges in a Connected Component : 8611
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 8.666326
Graph Density : 0.000119985959630602
Modularity : 0.583261
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,692 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, 07 October 2021 at 20:40 UTC.
The requested start date was Thursday, 07 October 2021 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 11-day, 6-hour, 15-minute period from Saturday, 25 September 2021 at 04:29 UTC to Wednesday, 06 October 2021 at 10:45 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:
[1188] covid,19 [495] polio,immunisation [487] pulse,polio [483] immunisation,sunderbans [483] sunderbans,delta [483] hcw,working [474] working,tirelessly [474] tirelessly,waterlogged [474] waterlogged,zones [473] delta,ganges Top Word Pairs in Tweet in G1:
[470] pulse,polio [469] polio,immunisation [469] immunisation,sunderbans [469] sunderbans,delta [469] delta,ganges [469] ganges,amazing [469] amazing,hcw [469] hcw,working [469] working,tirelessly [469] tirelessly,waterlogged Top Word Pairs in Tweet in G2:
[77] covid,19 [26] 19,immunisation [24] flu,immunisation [22] immunisation,programme [21] vaccination,immunisation [18] joint,committee [18] committee,vaccination [15] immunisation,team [12] 19,vaccination [11] 12,15 Top Word Pairs in Tweet in G3:
[285] towards,ensuring [285] ensuring,last [285] last,mile [285] mile,delivery [285] delivery,vaccines [282] icmrâ,initiative [282] initiative,'drone [282] 'drone,response [282] response,outreach [281] vaccines,launch Top Word Pairs in Tweet in G4:
[430] covid,19 [306] 19,immunisation [175] immunisation,coverage [172] malaysia,continues [172] continues,broaden [172] broaden,covid [172] coverage,accelerating [172] accelerating,vaccinations [172] vaccinations,12 [172] 12,17 Top Word Pairs in Tweet in G5:
[175] warning,aware [175] aware,fake [175] fake,vaccine [175] vaccine,consent [175] consent,forms [175] forms,circulating [175] circulating,schools [175] schools,anti [175] anti,vaccine [175] vaccine,groups Top Word Pairs in Tweet in G6:
[247] governments,green [247] green,book [247] book,guidance [247] guidance,immunisation [247] immunisation,being [247] being,ignored [247] ignored,specifically [247] specifically,states [247] states,'principles' [246] lexham_1,governments Top Word Pairs in Tweet in G7:
[83] enabling,citizens [83] citizens,consent [83] consent,provide [83] provide,immunisation [83] immunisation,record [83] record,state [83] state,integration [83] integration,checkin [83] checkin,app [82] mrobertsqld,enabling Top Word Pairs in Tweet in G8:
[39] covid,19 [38] immunisation,team [35] instance,publishing [35] publishing,priority [35] priority,lists [35] lists,covid [35] 19,vax [35] vax,dec [35] dec,jcvi [35] jcvi,provided Top Word Pairs in Tweet in G9:
[77] many,people [77] people,think [77] think,having [77] having,vaccinated [77] vaccinated,immune [77] immune,covid [77] covid,true [77] true,immunisation [77] immunisation,means [76] agentsmart,many Top Word Pairs in Tweet in G10:
[186] 免疫專家警告說,接種疫苗的人是真正的威脅 [186] 接種疫苗的人是真正的威脅,對其他人來說是 [186] 對其他人來說是,危險 [184] feelsogoodnow,免疫專家警告說 [27] ww,immunisation [27] immunisation,many [27] many,going [27] going,die [27] die,wwi [27] wwi,20 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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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: