The graph represents a network of 9,125 Twitter users whose tweets in the requested range contained "zika", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 20 January 2022 at 15:06 UTC.
The requested start date was Thursday, 20 January 2022 at 01:01 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 3-day, 5-hour, 25-minute period from Sunday, 16 January 2022 at 15:59 UTC to Wednesday, 19 January 2022 at 21:25 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 : 9125
Unique Edges : 6198
Edges With Duplicates : 6258
Total Edges : 12456
Number of Edge Types : 5
Retweet : 2456
MentionsInRetweet : 3155
Replies to : 3067
Tweet : 1975
Mentions : 1803
Self-Loops : 1998
Reciprocated Vertex Pair Ratio : 0.0230225988700565
Reciprocated Edge Ratio : 0.0450089741819688
Connected Components : 3064
Single-Vertex Connected Components : 1332
Maximum Vertices in a Connected Component : 1031
Maximum Edges in a Connected Component : 2046
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 5.227083
Graph Density : 8.69962105060866E-05
Modularity : 0.627378
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 9,125 Twitter users whose tweets in the requested range contained "zika", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 20 January 2022 at 15:06 UTC.
The requested start date was Thursday, 20 January 2022 at 01:01 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 3-day, 5-hour, 25-minute period from Sunday, 16 January 2022 at 15:59 UTC to Wednesday, 19 January 2022 at 21:25 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 : zika
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:
[763] epstein,barr [759] barr,virus [757] causes,shingles [704] multiple,sclerosis [698] know,epstein [698] virus,causes [698] causes,multiple [698] sclerosis,know [698] know,chickenpox [698] chickenpox,causes Top Word Pairs in Tweet in G1:
[81] dengue,zika [65] zika,virus [60] zika,chikungunya [43] essa,zika [40] zika,demais [28] sai,zika [25] muito,zika [24] mais,zika [24] febre,amarela [23] antiviral,response Top Word Pairs in Tweet in G2:
[688] multiple,sclerosis [683] epstein,barr [682] know,epstein [682] barr,virus [682] virus,causes [682] causes,multiple [682] sclerosis,know [682] know,chickenpox [682] chickenpox,causes [682] causes,shingles Top Word Pairs in Tweet in G3:
[40] didier_zika,non [32] cette,primaire [25] didier_zika,ce [23] chtaubira,primairepop [23] primairepop,mathildeimer [22] bluequartz00,didier_zika [16] primaire,populaire [14] regnierfabrice3,didier_zika [14] ce,truc [13] vaneay,bluequartz00 Top Word Pairs in Tweet in G4:
[155] eu,sou [155] sou,zika [155] zika,fortnite [154] taspiio,eu [8] taspiio,zika [4] zika,zika [3] zika,muito [2] zika,mt [2] taspiio,você [2] você,zika Top Word Pairs in Tweet in G5:
[15] zika,não [14] forguizin,zika [10] não,zika [9] em,zika [8] zika,reversa [7] noynvlr,zika [5] essa,zika [5] zika,caralho [5] caralho,ponto [5] ponto,vai Top Word Pairs in Tweet in G6:
[101] #zika,virus [91] downright,amazing [91] amazing,remember [91] remember,deadly [91] deadly,#zika [91] virus,turns [91] turns,injecting [91] injecting,brains [91] brains,dogs [90] laurie_garrett,downright Top Word Pairs in Tweet in G7:
[45] infelizmente,título [45] título,não [45] não,veio [45] veio,mas [45] mas,nada [45] nada,mede [45] mede,tamanho [45] tamanho,orgulho [45] orgulho,sinto [45] sinto,vcs Top Word Pairs in Tweet in G8:
[10] zika,não [4] loudgg,zika [4] vc,zika [4] só,zika [3] zika,msm [3] yancintraa,zika [3] zika,pra [3] eu,sou [3] sou,zika [3] loudgods,zika Top Word Pairs in Tweet in G9:
[9] copa,brasil [8] esses,jogos [8] jogos,copa [8] brasil,tão [8] tão,uma [8] uma,cara [8] cara,zika [8] zika,vai [8] vai,ter [8] ter,zebra Top Word Pairs in Tweet in G10:
[3] yellow,fever [3] several,studies [3] studies,reported [3] reported,antiviral [3] antiviral,effects [3] effects,ivermectin [3] ivermectin,rna [3] rna,viruses [3] viruses,such [3] such,zika Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G8:
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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 G9:
Top Tweeters in G10: