The graph represents a network of 8,863 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, 10 June 2021 at 13:56 UTC.
The requested start date was Thursday, 10 June 2021 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, 17-hour, 6-minute period from Monday, 07 June 2021 at 04:26 UTC to Wednesday, 09 June 2021 at 21:32 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 : 8863
Unique Edges : 6470
Edges With Duplicates : 7717
Total Edges : 14187
Number of Edge Types : 5
Tweet : 2168
Retweet : 2680
MentionsInRetweet : 3689
Replies to : 2860
Mentions : 2790
Self-Loops : 2185
Reciprocated Vertex Pair Ratio : 0.0366653285159909
Reciprocated Edge Ratio : 0.0707370595069059
Connected Components : 2953
Single-Vertex Connected Components : 1280
Maximum Vertices in a Connected Component : 1469
Maximum Edges in a Connected Component : 2727
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.360056
Graph Density : 9.86327316087387E-05
Modularity : 0.575752
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 8,863 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, 10 June 2021 at 13:56 UTC.
The requested start date was Thursday, 10 June 2021 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, 17-hour, 6-minute period from Monday, 07 June 2021 at 04:26 UTC to Wednesday, 09 June 2021 at 21:32 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:
[2138] olivia,rodrigo [1073] pra,eu [1072] só,foi [1070] suficiente,pra [1069] ouvi,olivia [1069] rodrigo,uma [1069] uma,só [1069] foi,suficiente [1069] eu,quere [1069] quere,ouvi Top Word Pairs in Tweet in G1:
[79] dengue,zika [78] zika,reversa [45] zika,virus [42] zika,chikungunya [42] sai,zika [31] zika,demais [26] uma,zika [23] essa,zika [23] peste,negra [23] minha,zika Top Word Pairs in Tweet in G2:
[2134] olivia,rodrigo [1067] ouvi,olivia [1067] rodrigo,uma [1067] uma,só [1067] só,foi [1067] foi,suficiente [1067] suficiente,pra [1067] pra,eu [1067] eu,quere [1067] quere,ouvi Top Word Pairs in Tweet in G3:
[20] zika,reversa [17] anti,zika [13] cartolouco,zika [11] zika,mais [11] pra,vocês [11] vocês,tão [11] tão,dizendo [11] dizendo,cartolouco [11] 4dejulhopi,pra [9] são,paulo Top Word Pairs in Tweet in G4:
[17] vc,zika [11] zika,muito [11] não,zika [11] farpadordaloud,zika [9] farpadordaloud,vc [8] loud_thurzin888,zika [7] zika,reversa [7] zaraki_gg,zika [6] zika,não [6] só,zika Top Word Pairs in Tweet in G5:
[101] pei,yong [101] yong,shi [97] 史佩勇,pei [94] devonj32130301,史佩勇 [74] zika,virus [64] shi,evolutionary [64] evolutionary,ns1 [64] ns1,mutation [64] mutation,enhances [64] enhances,zika Top Word Pairs in Tweet in G6:
[90] zika___1,b_omba1 [90] b_omba1,mohamedskandar [87] hanysol37179667,eid_maaty [85] mohamedskandar,hamzakh48204981 [84] eid_maaty,kjj___77 [83] hamzakh48204981,hanysol37179667 [81] kjj___77,zz_qaq [72] n_a_d00,zika___1 [50] #دعم_ندوش,n_a_d00 [49] n_a_d00,#دعم_ندوش Top Word Pairs in Tweet in G7:
[15] yes,yes [9] องสมบ,ต [8] น,าร [7] แต,ก [6] ค,ะ [6] cm,178 [6] 178,cm [5] ม,น [5] ก,ค [4] ก,เข Top Word Pairs in Tweet in G8:
[194] remédio,antimalária [97] antimalária,dá [97] dá,resultado [97] resultado,contra [97] contra,zika [97] zika,estadao [97] estadao,logo [97] logo,irão [97] irão,dizer [97] dizer,remédio Top Word Pairs in Tweet in G9:
[15] zika,reversa [13] casimiro,zika [4] zika,não [4] poder,zika [3] zika,mais [3] eu,tentei [3] meu,poder [3] igual,semana [3] semana,passada [3] passada,mas Top Word Pairs in Tweet in G10:
[63] em,2016 [63] 2016,qdo [63] qdo,eu [63] eu,trabalhava [63] trabalhava,editora [63] editora,globo [63] globo,fiz [63] fiz,uma [63] uma,matéria [63] matéria,pesquisas Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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:
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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:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: