The graph represents a network of 8,327 Twitter users whose tweets in the requested range contained "immunization", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 17 September 2020 at 20:24 UTC.
The requested start date was Thursday, 17 September 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 12-day, 2-hour, 18-minute period from Friday, 04 September 2020 at 21:41 UTC to Wednesday, 16 September 2020 at 23:59 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 : 8327
Unique Edges : 5359
Edges With Duplicates : 10478
Total Edges : 15837
Number of Edge Types : 5
Replies to : 856
Retweet : 4556
MentionsInRetweet : 5739
Tweet : 1837
Mentions : 2849
Self-Loops : 1916
Reciprocated Vertex Pair Ratio : 0.0176015019948369
Reciprocated Edge Ratio : 0.0345940959409594
Connected Components : 1808
Single-Vertex Connected Components : 872
Maximum Vertices in a Connected Component : 3644
Maximum Edges in a Connected Component : 9267
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.958899
Graph Density : 0.00012508185058021
Modularity : 0.568343
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 8,327 Twitter users whose tweets in the requested range contained "immunization", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 17 September 2020 at 20:24 UTC.
The requested start date was Thursday, 17 September 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 12-day, 2-hour, 18-minute period from Friday, 04 September 2020 at 21:41 UTC to Wednesday, 16 September 2020 at 23:59 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 : immunization
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:
[662] covid,19 [397] ensuring,continuity [397] continuity,essential [397] essential,service [396] vaccinator,#nepal [396] #nepal,ensuring [396] service,#immunization [396] #immunization,despite [396] despite,#pandemic [396] #pandemic,#disaster Top Word Pairs in Tweet in G1:
[151] universal,immunization [150] immunization,programme [144] #local4poshan,universal [126] programme,namo [126] namo,app [79] covid,19 [30] immunization,clinic [27] public,health [25] vaccines,immunization [22] immunization,records Top Word Pairs in Tweet in G2:
[176] routine,immunization [146] improving,routine [133] opportunity,child [133] child,reached [133] reached,lifesaving [133] lifesaving,oral [133] oral,polio [133] polio,vaccines [133] vaccines,well [133] well,improving Top Word Pairs in Tweet in G3:
[87] covid,19 [54] 19,vaccine [52] deadly,entirely [52] entirely,preventable [51] wait,covid [51] vaccine,overlook [51] overlook,those [51] those,already [51] already,deadly [50] unicef,wait Top Word Pairs in Tweet in G4:
[32] concerned,keeping [32] keeping,child [32] schedule,track [32] during,#covid19 [32] #covid19,well [32] well,child [32] child,visits [31] flu,shot [30] hhsgov,concerned [30] child,immunization Top Word Pairs in Tweet in G5:
[12] takethatdoctors,caffeine_sam [12] wakeup89427666,takethatcdc [12] canuckistand,aly_meek [10] flying_shadowz,lightcontrol2 [10] regina1775,wakeup89427666 [9] ianfmusgrave,jandretta81 [9] wendyorent,frankdelia7 [9] frankdelia7,kidoctr [9] kidoctr,krebiozen [9] tinfoilawards,jkellyca Top Word Pairs in Tweet in G6:
[188] vaccinator,#nepal [188] #nepal,ensuring [188] ensuring,continuity [188] continuity,essential [188] essential,service [188] service,#immunization [188] #immunization,despite [188] despite,#pandemic [188] #pandemic,#disaster [187] kandelnirmal,vaccinator Top Word Pairs in Tweet in G7:
[205] vaccinator,#nepal [205] #nepal,ensuring [205] ensuring,continuity [205] continuity,essential [205] essential,service [205] service,#immunization [205] #immunization,despite [205] despite,#pandemic [205] #pandemic,#disaster [199] sanzinme,vaccinator Top Word Pairs in Tweet in G8:
[174] trump,administration [174] administration,betting [174] betting,millions [174] millions,coronavirus [174] coronavirus,shots [174] shots,americans [174] americans,need [174] need,using [173] blakehounshell,trump [2] type,virus Top Word Pairs in Tweet in G9:
[197] covid,19 [184] 19,numbers [184] numbers,confirmed [184] confirmed,cases [184] cases,date [184] note,numbers [184] numbers,represent [184] represent,true [184] true,day [183] california,covid Top Word Pairs in Tweet in G10:
[69] funds,available [69] available,#covid19 [69] #covid19,#vaccination [69] #vaccination,usa [69] usa,right [69] right,literally [69] literally,exponentially [69] exponentially,below [69] below,needed [69] needed,unless Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: