The graph represents a network of 5,519 Twitter users whose tweets in the requested range contained "vaccine OR vaccination", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 20 November 2019 at 16:58 UTC.
The requested start date was Tuesday, 19 November 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 1-day, 4-hour, 28-minute period from Sunday, 17 November 2019 at 09:57 UTC to Monday, 18 November 2019 at 14:26 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 : 5519
Unique Edges : 7056
Edges With Duplicates : 3735
Total Edges : 10791
Number of Edge Types : 3
Mentions : 8663
Replies to : 593
Tweet : 1535
Self-Loops : 1535
Reciprocated Vertex Pair Ratio : 0.0293946449359721
Reciprocated Edge Ratio : 0.057110545660164
Connected Components : 1125
Single-Vertex Connected Components : 556
Maximum Vertices in a Connected Component : 2443
Maximum Edges in a Connected Component : 7374
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.441452
Graph Density : 0.000232285962473963
Modularity : 0.636574
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 5,519 Twitter users whose tweets in the requested range contained "vaccine OR vaccination", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 20 November 2019 at 16:58 UTC.
The requested start date was Tuesday, 19 November 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 1-day, 4-hour, 28-minute period from Sunday, 17 November 2019 at 09:57 UTC to Monday, 18 November 2019 at 14:26 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 : vaccine OR vaccination
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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[222] conjugate,vaccine [219] first,country [210] vaccination,rates [193] outbreak,samoa [192] killed,measles [191] six,children [191] children,killed [191] measles,current [191] current,outbreak [191] samoa,vaccination Top Word Pairs in Tweet in G1:
[74] ebola,vaccine [68] europe,approved [68] approved,ebola [68] vaccine,expected [68] expected,approve [68] approve,march [68] march,2020 [68] 2020,now [68] now,vaccine [68] vaccine,here Top Word Pairs in Tweet in G2:
[42] flu,vaccine [35] measles,epidemic [34] samoa,closes [34] closes,schools [34] schools,measles [34] epidemic,kills [33] kills,6 [28] 6,isabella [28] isabella,kwai [28] kwai,nyt Top Word Pairs in Tweet in G3:
[34] bluelionblog,chrisjohnsonmd [33] detectorstalker,lunruj [33] beckyjohnson222,elv_22 [33] blotreport,monstercoyliar [33] plasticdoe,bglthmnd [30] bglthmnd,alumilynn [30] aquavelvaboy,tinfoilawards [30] chaoticsx2,theworldisfla11 [30] _tatvamasi_,frankdelia7 [30] frankdelia7,_mamadeb Top Word Pairs in Tweet in G4:
[191] six,children [191] children,killed [191] killed,measles [191] measles,current [191] current,outbreak [191] outbreak,samoa [191] samoa,vaccination [191] vaccination,rates [191] rates,rock [191] rock,bottom Top Word Pairs in Tweet in G5:
[24] #handwashing,basic [24] basic,effective [24] effective,vaccine [24] vaccine,against [24] against,infections [24] infections,become [24] become,sick [24] sick,need [24] need,use [24] conjugate,vaccine Top Word Pairs in Tweet in G6:
[173] conjugate,vaccine [153] typhoid,conjugate [101] first,country [84] introduce,typhoid [84] vaccine,#tcv [82] becomes,first [80] pakistan,becomes [79] country,introduce [66] #missiontyphoid,begins [61] begins,pakistan Top Word Pairs in Tweet in G7:
[42] à,vaccination [42] vaccination,masse [41] stop,à [41] masse,des [41] des,filles [41] filles,et [41] et,garçons [41] garçons,au [40] au,gardasil [34] gardasil,po_st Top Word Pairs in Tweet in G8:
[10] check,out [9] #vaccines,provide [9] provide,lifelong [9] lifelong,immunity [9] immunity,whereas [9] whereas,others [9] others,require [9] require,additional [9] additional,doses [9] doses,boosters Top Word Pairs in Tweet in G9:
[2] shuberteugene,ceist8 [2] ceist8,craigthomler [2] craigthomler,nitecrawler1867 [2] nitecrawler1867,rickyllesor1 [2] rickyllesor1,quieroserabuela [2] quieroserabuela,glinch72 [2] glinch72,farmingganja [2] farmingganja,martinjbern Top Word Pairs in Tweet in G10:
[25] holy,crap [25] crap,https [25] https,t [25] t,co [25] co,hphdxrebrv [24] home,#croydon [24] #croydon,#se25 [24] steven_kotler,holy [22] #stolen,during [22] burglary,home Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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Top Replied-To in G7:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: