The graph represents a network of 6,416 Twitter users whose tweets in the requested range contained "Malaria", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 14 August 2020 at 15:04 UTC.
The requested start date was Friday, 14 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, 0-hour, 10-minute period from Tuesday, 11 August 2020 at 17:42 UTC to Thursday, 13 August 2020 at 17:53 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 : 6416
Unique Edges : 3172
Edges With Duplicates : 12321
Total Edges : 15493
Number of Edge Types : 5
Replies to : 1285
Mentions : 950
Retweet : 5838
MentionsInRetweet : 6475
Tweet : 945
Self-Loops : 963
Reciprocated Vertex Pair Ratio : 0.00591501690004829
Reciprocated Edge Ratio : 0.0117604704188168
Connected Components : 693
Single-Vertex Connected Components : 289
Maximum Vertices in a Connected Component : 4497
Maximum Edges in a Connected Component : 12962
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.690907
Graph Density : 0.000202460528336213
Modularity : 0.44763
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 6,416 Twitter users whose tweets in the requested range contained "Malaria", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 14 August 2020 at 15:04 UTC.
The requested start date was Friday, 14 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, 0-hour, 10-minute period from Tuesday, 11 August 2020 at 17:42 UTC to Thursday, 13 August 2020 at 17:53 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 : Malaria
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:
[1277] camila,pitanga [459] covid,19 [430] casos,malária [418] malária,até [410] pegou,malária [377] malária,leblon [339] covid,mas [315] tomar,cloroquina [314] malária,19 [311] surto,malária Top Word Pairs in Tweet in G1:
[303] camila,pitanga [111] pegar,malária [80] pegou,covid [75] eu,não [72] também,será [71] pegou,malária [70] malária,tem [70] malária,pra [65] não,sei [65] covid,mas Top Word Pairs in Tweet in G2:
[124] jandira_feghali,camilapitanga [85] camilapitanga,malária [60] doença,notificação [59] camila,pitanga [45] malária,uma [44] malária,cloroquina [44] uma,doença [40] notificação,obrigatória [38] atriz,camilapitanga [38] malária,sendo Top Word Pairs in Tweet in G3:
[109] camila,pitanga [73] surto,malária [61] malária,leblon [46] já,fizeram [43] em,maio [43] maio,estadao [43] estadao,recorreu [43] recorreu,ao [43] ao,5tf [43] 5tf,ver Top Word Pairs in Tweet in G4:
[153] não,fizermos [153] fizermos,nada [153] nada,teremos [153] teremos,milhão [153] milhão,mortes [153] mortes,malária [153] malária,até [153] até,novembro [152] luizcamargovlog,não [66] camila,pitanga Top Word Pairs in Tweet in G5:
[40] covid,19 [28] camila,pitanga [18] malária,leblon [13] dória,malária [12] tomar,cloroquina [11] malária,pitanga [10] pegou,malária [10] 19,dória [10] pitanga,bomba [10] bomba,rede Top Word Pairs in Tweet in G6:
[95] tomar,remédio [92] bom,dia [92] malária,tomar [91] dia,pra [91] pra,você [91] você,não [91] não,precisa [91] precisa,fingir [91] fingir,ter [91] ter,malária Top Word Pairs in Tweet in G7:
[75] segundo,os [75] os,lobistas [75] lobistas,morte [75] morte,camuflados [75] camuflados,especialistas [75] especialistas,cloroquina [75] cloroquina,tem [75] tem,efeitos [75] efeitos,colaterais [75] colaterais,mortais Top Word Pairs in Tweet in G8:
[141] morro,medo [141] medo,abrir [141] abrir,os [141] os,jornais [141] jornais,manhã [141] manhã,ler [141] ler,atila [141] atila,tamarindo [141] tamarindo,tá [141] tá,prevendo Top Word Pairs in Tweet in G9:
[102] camila,pitanga [95] covid,mas [93] vírus,infectou [93] infectou,camila [93] pitanga,vírus [93] vírus,ideologia [93] ideologia,gênero [93] gênero,nasceu [93] nasceu,covid [93] mas,sente Top Word Pairs in Tweet in G10:
[167] diz,especialista [153] casos,malária [153] malária,até [149] leblon,pode [149] pode,registrar [149] registrar,milhões [149] milhões,casos [149] até,fim [149] fim,ano [149] ano,diz Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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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:
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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: