The graph represents a network of 9,621 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, 27 August 2020 at 13:52 UTC.
The requested start date was Thursday, 27 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 2-day, 8-hour, 34-minute period from Thursday, 20 August 2020 at 03:59 UTC to Saturday, 22 August 2020 at 12:33 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 : 9621
Unique Edges : 6514
Edges With Duplicates : 5276
Total Edges : 11790
Number of Edge Types : 5
Retweet : 2187
MentionsInRetweet : 2676
Mentions : 1421
Replies to : 3045
Tweet : 2461
Self-Loops : 2504
Reciprocated Vertex Pair Ratio : 0.0212056952438655
Reciprocated Edge Ratio : 0.0415307030554732
Connected Components : 3783
Single-Vertex Connected Components : 1519
Maximum Vertices in a Connected Component : 561
Maximum Edges in a Connected Component : 918
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 6.449287
Graph Density : 7.28439456222431E-05
Modularity : 0.643673
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 9,621 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, 27 August 2020 at 13:52 UTC.
The requested start date was Thursday, 27 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 2-day, 8-hour, 34-minute period from Thursday, 20 August 2020 at 03:59 UTC to Saturday, 22 August 2020 at 12:33 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:
[330] anti,zika [246] zika,reversa [245] dengue,zika [227] bill,gates [218] 750,millones [212] millones,mosquitos [209] genetically,modified [209] zika,virus [178] modified,mosquitoes [170] mosquitos,modificados Top Word Pairs in Tweet in G1:
[64] dengue,zika [62] zika,virus [61] genetically,modified [47] zika,reversa [43] modified,mosquitoes [39] anti,zika [39] mosquitos,modificados [32] essa,zika [31] sai,zika [28] muito,zika Top Word Pairs in Tweet in G2:
[27] zika,reversa [26] zika,zika [15] desimpedidos,zika [14] gaules,zika [12] fer,fazeclan [12] deercheerup,zika [12] não,zika [11] zika,não [11] anti,zika [10] keyd,stars Top Word Pairs in Tweet in G3:
[216] bill,gates [101] years,zika [101] caused,microcephaly [100] 70,years [100] zika,never [100] never,caused [100] microcephaly,apparently [100] apparently,soon [100] soon,bill [100] gates,started Top Word Pairs in Tweet in G4:
[120] liberar,750 [120] 750,millones [120] millones,mosquitos [67] autoridades,florida [67] florida,aprobaron [67] aprobaron,plan [67] plan,liberar [67] mosquitos,genéticamente [67] genéticamente,modificados [66] actualidadrt,autoridades Top Word Pairs in Tweet in G5:
[46] segue,líder [45] não,postem [45] postem,segue [45] líder,isso [45] isso,maior [45] maior,zika [45] zika,história [45] história,ramonismo [44] diariovascainoo,não [42] vocês,tão Top Word Pairs in Tweet in G6:
[81] efectococuyo,#claves [46] chikungunya,zika [44] covid,19 [26] #claves,chikungunya [26] zika,producen [26] producen,picadura [26] picadura,mosquito [26] mosquito,aedes [26] aedes,aepypti [26] aepypti,infectado Top Word Pairs in Tweet in G7:
[11] anti,zika [9] zika,contra [8] não,zika [7] carta,anti [7] contra,bozó [7] bozó,mal [7] foxsportsbrasil,vascodagama [6] essa,zika [5] globoesportecom,sai [4] uma,zika Top Word Pairs in Tweet in G8:
[20] anti,zika [11] dolcann,ucasberto [10] levi_zika,luanakjkkk [9] moreiraviw,neymarjr [9] neymarjr,anti [9] zika,ativada [9] luanakjkkk,dolcann [8] joaoprosintimos,moreiraviw [7] sai,zika [6] jr10_br,levi_zika Top Word Pairs in Tweet in G9:
[82] zika,baile [31] ao,mtvmiawbrasil [30] melhor,clipe [29] baile,melhor [27] clipe,feito [27] feito,em [26] indicada,ao [26] mtvmiawbrasil,2020 [26] nas,seguintes [26] seguintes,categorias Top Word Pairs in Tweet in G10:
[61] wow,diseñaron [61] diseñaron,mosquito [61] mosquito,modificación [61] modificación,genética [61] genética,optimiza [61] optimiza,piquen [61] piquen,sangre [61] sangre,sino [61] sino,alimenten [60] ophcourse,wow Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: