The graph represents a network of 4,562 Twitter users whose tweets in the requested range contained "VaccinesWork", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 21 November 2019 at 19:28 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 5-day, 7-hour, 31-minute period from Wednesday, 13 November 2019 at 17:29 UTC to Tuesday, 19 November 2019 at 01:00 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 : 4562
Unique Edges : 6117
Edges With Duplicates : 1604
Total Edges : 7721
Number of Edge Types : 3
Mentions : 6481
Tweet : 1015
Replies to : 225
Self-Loops : 1015
Reciprocated Vertex Pair Ratio : 0.0137731678286006
Reciprocated Edge Ratio : 0.0271720899027172
Connected Components : 600
Single-Vertex Connected Components : 336
Maximum Vertices in a Connected Component : 3293
Maximum Edges in a Connected Component : 6304
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.926191
Graph Density : 0.000286534300827951
Modularity : 0.715034
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,562 Twitter users whose tweets in the requested range contained "VaccinesWork", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 21 November 2019 at 19:28 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 5-day, 7-hour, 31-minute period from Wednesday, 13 November 2019 at 17:29 UTC to Tuesday, 19 November 2019 at 01:00 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 : VaccinesWork
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:
[263] immune,system [259] know,measles [251] measles,essentially [251] essentially,eliminates [251] eliminates,immune [251] system,s [251] s,memory [251] memory,weeks [251] weeks,months [251] months,years Top Word Pairs in Tweet in G1:
[111] life,saving [78] first,country [78] country,introduce [71] #typhoid,vaccine [69] congratulations,pakistan [69] pakistan,becoming [69] becoming,first [69] introduce,life [69] saving,#typhoid [67] gavi,congratulations Top Word Pairs in Tweet in G2:
[74] #ebola,vaccine [59] vaccine,paving [59] paving,way [59] way,use [59] use,high [59] high,risk [59] risk,countries [58] prequalifies,#ebola [57] countries,#vaccineswork [56] vaccine,preventable Top Word Pairs in Tweet in G3:
[83] help,protect [82] protect,children [81] 2014,global [81] global,citizens [81] citizens,convinced [81] convinced,help [81] children,preventable [81] preventable,diseases [81] diseases,stepping [81] stepping,up Top Word Pairs in Tweet in G4:
[34] #vacunas,#vaccineswork [25] vacuna,frente [22] riesgo,hospitalización [21] hospitalización,gripe [21] gripe,mujeres [21] mujeres,embarazadas [21] embarazadas,7 [21] 7,8 [21] 8,veces [21] veces,mayor Top Word Pairs in Tweet in G5:
[248] know,measles [248] measles,essentially [248] essentially,eliminates [248] eliminates,immune [248] immune,system [248] system,s [248] s,memory [248] memory,weeks [248] weeks,months [248] months,years Top Word Pairs in Tweet in G6:
[173] zero,reiterate [173] reiterate,zero [173] zero,link [173] link,between [173] between,mmr [173] mmr,#vaccines [173] #vaccines,autism [173] autism,another [173] another,study [173] study,650 Top Word Pairs in Tweet in G7:
[165] interesting,chat [165] chat,hairdresser [165] hairdresser,beg [165] beg,clients [165] clients,vaccinate [165] vaccinate,kids [165] kids,someone [165] someone,causes [164] drpunamkrishan,interesting [164] causes,au Top Word Pairs in Tweet in G8:
[55] health,workers [53] 14,photos [53] photos,show [53] show,incredible [53] incredible,lengths [53] lengths,health [53] workers,go [53] go,keep [53] keep,children [53] children,safe Top Word Pairs in Tweet in G9:
[20] hpv,vaccine [18] #hpvvax,#hpv [17] know,hpv [17] vaccine,around [17] around,longer [17] longer,iphone [17] iphone,#didyouknow [17] #didyouknow,#themoreyouknow [17] #themoreyouknow,#hpvvax [16] hpvroundtable,know Top Word Pairs in Tweet in G10:
[54] look,gorgeous [54] gorgeous,data [54] data,demonstrating [54] demonstrating,significant [54] significant,declines [54] declines,hpv [54] hpv,associated [54] associated,cervical [54] cervical,lesions [53] traependergrast,look Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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: