The graph represents a network of 9,703 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, 29 October 2020 at 13:58 UTC.
The requested start date was Thursday, 29 October 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, 12-hour, 26-minute period from Monday, 26 October 2020 at 11:34 UTC to Thursday, 29 October 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 : 9703
Unique Edges : 6652
Edges With Duplicates : 4187
Total Edges : 10839
Number of Edge Types : 5
Replies to : 3243
Tweet : 2754
Retweet : 1635
MentionsInRetweet : 1988
Mentions : 1219
Self-Loops : 2784
Reciprocated Vertex Pair Ratio : 0.0247243568326094
Reciprocated Edge Ratio : 0.0482556243886534
Connected Components : 4176
Single-Vertex Connected Components : 1864
Maximum Vertices in a Connected Component : 531
Maximum Edges in a Connected Component : 1153
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.345173
Graph Density : 6.51593089866967E-05
Modularity : 0.655598
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 9,703 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, 29 October 2020 at 13:58 UTC.
The requested start date was Thursday, 29 October 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, 12-hour, 26-minute period from Monday, 26 October 2020 at 11:34 UTC to Thursday, 29 October 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:
[821] pressão,alta [817] dengue,zika [803] depressão,ansiedade [801] baixa,hpv [781] hpv,hiv [773] pressão,baixa [771] alta,pressão [764] ansiedade,pânico [754] pânico,pressão [740] hiv,dengue Top Word Pairs in Tweet in G1:
[255] dengue,zika [192] hpv,hiv [185] baixa,hpv [183] hiv,dengue [180] pressão,alta [179] depressão,ansiedade [167] tenho,depressão [165] pressão,baixa [163] alta,pressão [156] ansiedade,pânico Top Word Pairs in Tweet in G2:
[161] worst,human [161] human,pandemics [161] pandemics,epidemics [161] epidemics,hiv [161] hiv,sars [161] sars,avian [161] avian,flu [161] flu,swine [161] swine,flu [161] flu,ebola Top Word Pairs in Tweet in G3:
[98] different,particles [98] particles,compare [98] compare,size [98] size,#airpollution [98] #airpollution,#coronavirus [95] wef,different [58] world,next [58] next,epidemic [58] epidemic,start [58] start,#covid19 Top Word Pairs in Tweet in G4:
[131] infecciones,congénitas [131] congénitas,torch [131] torch,toxoplasmosis [131] toxoplasmosis,agentes [131] agentes,sífilis [131] sífilis,varicela [131] varicela,zika [131] zika,rubéola [130] medibullets,infecciones [130] rubéola,citom Top Word Pairs in Tweet in G5:
[131] ansiedade,pânico [131] pânico,pressão [131] pressão,alta [130] depressão,ansiedade [130] alta,pressão [130] pressão,baixa [129] tenho,depressão [128] baixa,hpv [126] hpv,hiv [118] hiv,dengue Top Word Pairs in Tweet in G6:
[14] essa,zika [7] scinternacional,boschilia [6] chegou,hora [6] hora,fazermos [6] fazermos,sacrifício [6] sacrifício,sangue [6] sangue,humano [6] humano,acabar [6] acabar,essa [6] zika,eu Top Word Pairs in Tweet in G7:
[18] ebola,zika [17] rates,reproductive [17] reproductive,cancers [17] cancers,mental [17] mental,ill [17] ill,health [17] health,non [17] non,communicable [17] communicable,diseases [17] diseases,disease Top Word Pairs in Tweet in G8:
[6] legadaodamassa,zika [5] legadaodamassa,fontes_mariana [5] fontes_mariana,gimamaravilha [4] sua,zika [2] gimamaravilha,tomar [2] tomar,cu [2] cu,legadão [2] legadão,sai [2] sai,zika [2] pra,lá Top Word Pairs in Tweet in G9:
[4] one,more [4] more,chance [4] filha,puta [3] gatilhosmood,apaga [3] apaga,tenho [3] tenho,depressão [3] depressão,ansiedade [3] ansiedade,pânico [3] pânico,pressão [3] pressão,alta Top Word Pairs in Tweet in G10:
[39] swine,flu [38] 2009,swine [38] flu,2012 [38] 2012,mers [38] mers,cov [38] cov,2013 [38] 2013,ebola [38] ebola,2015 [38] 2015,zika [38] zika,2016 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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 Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G3:
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Top Mentioned in G6:
Top Mentioned in G7:
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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:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: