The graph represents a network of 5,749 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, 31 October 2019 at 18:22 UTC.
The requested start date was Thursday, 31 October 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 23-hour, 4-minute period from Tuesday, 29 October 2019 at 00:56 UTC to Thursday, 31 October 2019 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 : 5749
Unique Edges : 5188
Edges With Duplicates : 989
Total Edges : 6177
Number of Edge Types : 3
Mentions : 2846
Tweet : 1855
Replies to : 1476
Self-Loops : 1855
Reciprocated Vertex Pair Ratio : 0.0358524632447769
Reciprocated Edge Ratio : 0.0692231075697211
Connected Components : 2203
Single-Vertex Connected Components : 1020
Maximum Vertices in a Connected Component : 703
Maximum Edges in a Connected Component : 710
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 2.10636
Graph Density : 0.000121530318485694
Modularity : 0.726968
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 5,749 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, 31 October 2019 at 18:22 UTC.
The requested start date was Thursday, 31 October 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 23-hour, 4-minute period from Tuesday, 29 October 2019 at 00:56 UTC to Thursday, 31 October 2019 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[747] dengue,chikungunya [730] e,zika [678] chikungunya,e [678] na,sua [676] gerson,perdeu [676] perdeu,filha [676] filha,e [676] e,alegria [676] alegria,viver [676] viver,dengue Top Word Pairs in Tweet in G1:
[108] é,zika [41] sai,pra [41] pra,lá [37] zika,virus [34] dengue,zika [33] #rt,accesspage [28] sai,zika [28] lá,zika [27] accesspage,#rt [26] muito,zika Top Word Pairs in Tweet in G2:
[699] dengue,chikungunya [677] chikungunya,e [677] e,zika [675] gerson,perdeu [675] perdeu,filha [675] filha,e [675] e,alegria [675] alegria,viver [675] viver,dengue [675] dengue,não Top Word Pairs in Tweet in G3:
[5] q,eu [5] eu,não [4] redação,enem [4] após,ler [4] ler,em [4] em,meu [4] meu,face [4] pq,vai [4] pra,não [4] eu,gosto Top Word Pairs in Tweet in G4:
[7] é,zika [5] tu,é [3] da,zika [2] thelivia_yt,drxkonz [2] tmj,mlk [2] mlk,zika [2] drxkonz,é [2] é,nois [2] nois,zika [2] zika,satisfação Top Word Pairs in Tweet in G5:
[53] essa,zika [53] zika,acabe [53] acabe,e [53] e,corinthians [53] corinthians,ganhe [53] ganhe,hoje [53] hoje,amém [52] cavalinhmilgrau,essa [4] meu,deus [4] deus,zika Top Word Pairs in Tweet in G6:
[53] žika,nikolić [52] zorana,radmilovića [51] nikolić,urednik [51] urednik,voditelj [51] voditelj,emisije [51] emisije,žikina [51] žikina,šarenica [51] šarenica,na [51] na,tv [51] tv,pink Top Word Pairs in Tweet in G7:
[5] لا,تسمح [5] تسمح,لأحد [4] لأحد,ان [4] gospodarpadine,naopaksasvim [3] gentlemandecali,zika_rikverc [3] azdajamilica,gospodarpadine [3] disgusted_by_rl,zika_rikverc [2] true,complicity [2] one,1 [2] 1,000 Top Word Pairs in Tweet in G8:
[20] triple,epidemic [16] time,dynamics [13] epidemic,manage [13] manage,drrachellowe [13] drrachellowe,wrote [13] wrote,candid [13] candid,piece [13] piece,exploring [13] zika,virus [12] lshtm_planet,triple Top Word Pairs in Tweet in G9:
[6] essa,zika [3] sai,zika [3] zika,da [2] saopaulofc,spmania [2] sair,dessa [2] dessa,zika [2] pelo,amor [2] amor,deus [2] zika,reversa [2] com,essa Top Word Pairs in Tweet in G10:
[40] amandatrez3,mina [40] mina,zika [40] zika,da [40] da,zl [40] zl,tá [40] tá,com [40] com,uma [40] uma,campanha [40] campanha,cartase [40] cartase,lançar 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 G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: