The graph represents a network of 5,362 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 Friday, 06 December 2019 at 03:19 UTC.
The requested start date was Friday, 06 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 8-day, 21-hour, 17-minute period from Tuesday, 26 November 2019 at 06:47 UTC to Thursday, 05 December 2019 at 04:04 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 : 5362
Unique Edges : 6874
Edges With Duplicates : 1386
Total Edges : 8260
Number of Edge Types : 3
Mentions : 6749
Tweet : 993
Replies to : 518
Self-Loops : 993
Reciprocated Vertex Pair Ratio : 0.0170088875268158
Reciprocated Edge Ratio : 0.0334488473708001
Connected Components : 927
Single-Vertex Connected Components : 448
Maximum Vertices in a Connected Component : 3110
Maximum Edges in a Connected Component : 5901
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.10926
Graph Density : 0.000230886851110369
Modularity : 0.761938
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 5,362 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 Friday, 06 December 2019 at 03:19 UTC.
The requested start date was Friday, 06 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 8-day, 21-hour, 17-minute period from Tuesday, 26 November 2019 at 06:47 UTC to Thursday, 05 December 2019 at 04:04 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:
[410] immunization,drive [402] immunization,schedule [396] measles,outbreak [378] shut,down [375] nationwide,immunization [373] two,days [368] focus,nationwide [365] services,two [359] samoa,shut [358] down,government Top Word Pairs in Tweet in G1:
[22] immunization,records [21] immunization,program [18] measles,outbreak [17] routine,immunization [10] immunization,coverage [10] public,health [10] immunization,drive [9] immunization,record [9] immunization,clinic [9] mission,indradhanush Top Word Pairs in Tweet in G2:
[163] immunization,helps [162] fact,immunization [162] helps,children [162] children,grow [162] grow,healthy [162] healthy,adults [162] adults,protects [162] protects,against [162] against,disease [162] disease,#vaccineswork Top Word Pairs in Tweet in G3:
[342] samoa,shut [342] shut,down [342] down,government [342] government,services [342] services,two [342] two,days [342] days,order [342] order,focus [342] focus,nationwide [342] nationwide,immunization Top Word Pairs in Tweet in G4:
[11] immunization,schedule [8] cdc,immunization [7] immunization,rates [7] alumilynn,_cwn [7] _cwn,misinfofox [7] plasticdoe,tinfoilawards [7] tinfoilawards,frankdelia7 [7] frankdelia7,chronicleflask [7] chronicleflask,takethatchem [7] takethatchem,wendyorent Top Word Pairs in Tweet in G5:
[286] immunization,schedule [203] cdc,immunization [174] long,doctors [174] doctors,follow [174] follow,cdc [174] schedule,liable [174] liable,vaccine [174] vaccine,kills [174] kills,injures [173] rectitude20,long Top Word Pairs in Tweet in G6:
[68] mission,indradhanush [67] intensified,mission [41] health,workers [38] development,child [38] child,starts [38] starts,utero [38] utero,pmmvy [38] pmmvy,aims [38] aims,protection [38] protection,mother Top Word Pairs in Tweet in G7:
[171] robschneider,dcexaminer [171] dcexaminer,fact [171] fact,japan [171] japan,suspended [171] suspended,hpv [171] hpv,vaccination [171] vaccination,program [171] program,aimed [171] aimed,teen [171] teen,girls Top Word Pairs in Tweet in G8:
[237] performing,duty [207] citizen,saves [207] saves,drop [207] drop,water [207] water,performing [207] duty,getting [207] getting,immunization [207] immunization,done [207] done,right [207] right,time Top Word Pairs in Tweet in G9:
[131] crazymothers1,vaccine [131] vaccine,risk [131] risk,biased [131] biased,vaccine [131] vaccine,without [131] without,risk [131] risk,risk [131] risk,severe [131] severe,reaction [131] reaction,vanishingly Top Word Pairs in Tweet in G10:
[75] fight,against [52] expert,review [52] review,committee [52] committee,erc [45] eradication,routine [44] routine,immunization [40] erc,#polio [40] #polio,eradication [38] progress,fight [38] against,#polio 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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