The graph represents a network of 5,438 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 Monday, 10 August 2020 at 01:42 UTC.
The requested start date was Monday, 10 August 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 13-day, 23-hour, 12-minute period from Monday, 27 July 2020 at 00:32 UTC to Sunday, 09 August 2020 at 23:45 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 : 5438
Unique Edges : 3391
Edges With Duplicates : 9882
Total Edges : 13273
Number of Edge Types : 5
Retweet : 4241
MentionsInRetweet : 5475
Mentions : 2019
Tweet : 1295
Replies to : 243
Self-Loops : 1331
Reciprocated Vertex Pair Ratio : 0.0164961050862991
Reciprocated Edge Ratio : 0.0324567993989482
Connected Components : 758
Single-Vertex Connected Components : 431
Maximum Vertices in a Connected Component : 3703
Maximum Edges in a Connected Component : 10641
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.836738
Graph Density : 0.000225086539094403
Modularity : 0.485778
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 5,438 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 Monday, 10 August 2020 at 01:42 UTC.
The requested start date was Monday, 10 August 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 13-day, 23-hour, 12-minute period from Monday, 27 July 2020 at 00:32 UTC to Sunday, 09 August 2020 at 23:45 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 : 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[340] covid,19 [213] ø,ø [189] flu,vaccination [160] žðÿ,žðÿ [138] #coronavirus,vaccine [128] deputy,chief [128] chief,medical [127] ø,ù [126] life,saving [123] safe,effective Top Word Pairs in Tweet in G1:
[86] way,protect [79] vaccines,safe [78] safe,effective [73] effective,way [71] protect,child [68] child,against [68] against,severe [68] severe,illness [67] ameracadpeds,vaccines [67] illness,nbcnews Top Word Pairs in Tweet in G2:
[63] invested,vaccine [44] years,age [43] proportion,children [43] children,lt [43] lt,years [43] age,chronically [43] chronically,infected [43] infected,#hepatitis [43] #hepatitis,estimate [43] hepatitis,immunization Top Word Pairs in Tweet in G3:
[26] covid,19 [23] #vaccine,#vaccineswork [19] #vaccines,#vaccineswork [17] #covid19,#vaccineswork [17] #coronavirus,#covid19 [16] #scamdemic,#fakenews [16] #fakenews,#fakenewsmedia [16] #fakenewsmedia,#coronahoax [16] #coronahoax,#coronavirus [16] #covid19,#filmyourhospital Top Word Pairs in Tweet in G4:
[213] ø,ø [127] ø,ù [101] ù,ø [49] û,ø [46] ø,ú [45] #worldhepatitisday,#hepatitisfreefuture [45] #hepatitisfreefuture,newborns [45] newborns,vaccinated [45] vaccinated,against [45] against,#hepatitis Top Word Pairs in Tweet in G5:
[95] #covid19,disrupting [89] immunization,services [87] children,risk [83] covid,19 [83] life,saving [82] global,health [82] health,crisis [81] 19,global [81] crisis,prevent [81] prevent,delivering Top Word Pairs in Tweet in G6:
[175] flu,vaccination [124] deputy,chief [124] chief,medical [104] vaccination,important [104] medical,officer [104] officer,professor [104] professor,jonathan [104] jonathan,tam [100] tam,shares [100] shares,reasons Top Word Pairs in Tweet in G7:
[140] žðÿ,žðÿ [59] over,20 [59] 20,year [59] year,period [59] period,vaccines [59] vaccines,found [59] found,remarkably [59] remarkably,safe [56] caulfieldtim,over [46] postmarketing,safety Top Word Pairs in Tweet in G8:
[120] #coronavirus,vaccine [112] we've,secured [112] secured,early [112] early,access [110] access,another [110] another,promising [110] promising,#coronavirus [110] vaccine,agreement [110] agreement,gsk [110] gsk,sanofi Top Word Pairs in Tweet in G9:
[115] md,wife [115] wife,rn [115] rn,year [115] year,old [115] old,injured [115] injured,vaccines [115] vaccines,watched [115] watched,go [115] go,being [114] jennifermarguli,md Top Word Pairs in Tweet in G10:
[9] 15,yrs [9] yrs,kennedy [9] kennedy,tried [9] tried,lure [9] lure,vaccine [9] vaccine,zealots [9] zealots,debate [9] debate,watching [9] watching,dershowitz [9] dershowitz,last Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: