The graph represents a network of 9,099 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, 17 September 2020 at 14:08 UTC.
The requested start date was Thursday, 17 September 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, 2-hour, 0-minute period from Monday, 14 September 2020 at 22:00 UTC to Thursday, 17 September 2020 at 00:00 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 : 9099
Unique Edges : 4853
Edges With Duplicates : 7405
Total Edges : 12258
Number of Edge Types : 5
Retweet : 3394
MentionsInRetweet : 3719
Replies to : 2340
Tweet : 1865
Mentions : 940
Self-Loops : 1884
Reciprocated Vertex Pair Ratio : 0.0149745432764301
Reciprocated Edge Ratio : 0.0295072292711714
Connected Components : 2908
Single-Vertex Connected Components : 1228
Maximum Vertices in a Connected Component : 2472
Maximum Edges in a Connected Component : 5125
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4.024257
Graph Density : 8.1877008556691E-05
Modularity : 0.588907
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 9,099 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, 17 September 2020 at 14:08 UTC.
The requested start date was Thursday, 17 September 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, 2-hour, 0-minute period from Monday, 14 September 2020 at 22:00 UTC to Thursday, 17 September 2020 at 00:00 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 : 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:
[1556] mais,zika [1523] os,cara [1506] os,mais [1505] cara,bh [1505] bh,os [1505] zika,mata [1505] mata,eu [1505] eu,rir [1504] brenorass,os [887] sai,zika Top Word Pairs in Tweet in G1:
[1500] os,cara [1499] cara,bh [1499] bh,os [1499] os,mais [1499] mais,zika [1499] zika,mata [1499] mata,eu [1499] eu,rir [1498] brenorass,os [2] sai,zika Top Word Pairs in Tweet in G2:
[41] zika,reversa [38] sai,zika [36] dengue,zika [34] essa,zika [29] sai,pra [28] pra,lá [27] zika,virus [26] zika,baile [25] sou,zika [24] muito,zika Top Word Pairs in Tweet in G3:
[251] sai,zika [218] sucumba,eg [218] eg,sai [218] zika,broke [218] broke,curse [218] curse,deu [218] deu,nois [218] nois,deu [218] deu,brasil [218] brasil,vamooooooooooooooooo Top Word Pairs in Tweet in G4:
[542] sai,zika [180] cavaiinho,sai [179] zika,voa [179] voa,molecada [179] molecada,vem [179] vem,pontos [179] pontos,sai [179] zika,novo [179] novo,vai [179] vai,corinthians Top Word Pairs in Tweet in G5:
[105] não,existe [104] vamo,gingada [104] gingada,brasileira [104] brasileira,esse [104] esse,grupo [104] grupo,já [104] já,nosso [104] nosso,isso [104] isso,zika [104] zika,não Top Word Pairs in Tweet in G6:
[90] barack,obama [90] obama,took [90] took,office [90] office,economy [90] economy,crashed [90] crashed,dealt [90] dealt,bird [90] bird,swine [90] swine,flu [90] flu,ebola Top Word Pairs in Tweet in G7:
[10] zika,reversa [8] seja,zika [7] não,zika [7] digolagames,seja [6] digolagames,zika [4] vai,zika [4] anti,zika [4] gt,gt [3] zika,minha [3] eu,sou Top Word Pairs in Tweet in G8:
[85] gg,unwashed [85] unwashed,saiu [85] saiu,zika [84] nicksfps,gg Top Word Pairs in Tweet in G9:
[78] flash,920 [78] 920,cas [78] cas,#dengue [78] #dengue,110 [78] 110,#chikungunya [78] #chikungunya,17 [78] 17,#zika [78] #zika,ont [78] ont,été [78] été,recensés Top Word Pairs in Tweet in G10:
[11] zika_rikverc,čestitam [6] zika_rikverc,bravo [4] živi,zdravi [3] zika_rikverc,neka [3] neka,sa [3] sa,srećom [3] zdravi,srećni [3] zika_rikverc,cestitam [3] sa,srecom [2] zika_rikverc,pa Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 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: