The graph represents a network of 6,023 Twitter users whose recent tweets contained "Malaria", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/9/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 10 February 2023 at 15:14 UTC.
The tweets in the network were tweeted over the 1825-day, 21-hour, 59-minute period from Saturday, 10 February 2018 at 03:00 UTC to Friday, 10 February 2023 at 00:59 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 6023
Unique Edges : 3642
Edges With Duplicates : 9938
Total Edges : 13580
Number of Edge Types : 9
Tweet : 993
Retweet : 3252
MentionsInRetweet : 4570
MentionsInReplyTo : 2622
Replies to : 1344
Quote : 126
Mentions : 605
MentionsInQuote : 60
MentionsInQuoteReply : 8
Self-Loops : 1274
Reciprocated Vertex Pair Ratio : 0.0384121090961017
Reciprocated Edge Ratio : 0.073982398239824
Connected Components : 1197
Single-Vertex Connected Components : 372
Maximum Vertices in a Connected Component : 1128
Maximum Edges in a Connected Component : 3350
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 3.548301
Graph Density : 0.000200493480846393
Modularity : 0.534297
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,023 Twitter users whose recent tweets contained "Malaria", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/9/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 10 February 2023 at 15:14 UTC.
The tweets in the network were tweeted over the 1825-day, 21-hour, 59-minute period from Saturday, 10 February 2018 at 03:00 UTC to Friday, 10 February 2023 at 00:59 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[540] fumigación,contra [519] jornadas,fumigación [502] contra,malaria [484] impulsa,personalmente [484] lossifontes,impulsa [484] personalmente,jornadas [435] malaria,dengu [431] cumaná,alcalde [431] #9feb,cumaná [431] activo,lossifontes Top Word Pairs in Tweet in G1:
[540] fumigación,contra [519] jornadas,fumigación [491] contra,malaria [484] personalmente,jornadas [484] impulsa,personalmente [484] lossifontes,impulsa [431] alcalde,activo [431] cumaná,alcalde [431] activo,lossifontes [431] #9feb,cumaná Top Word Pairs in Tweet in G2:
[24] casos,malária [15] governo,bolsonaro [14] dobraram,governo [12] malária,distrito [11] território,yanomami [10] terra,macuxis [10] garimpo,território [10] malária,terra [10] yanomami,dobraram [10] leva,invasores Top Word Pairs in Tweet in G3:
[20] sub,saharan [20] saharan,africa [19] nigeria,home [19] family,diseases [19] diseases,such [19] protect,yourself [19] largest,burden [19] #dengue,#malaria [19] world,largest [19] home,world Top Word Pairs in Tweet in G4:
[184] malaria,endemia [184] junto,otras [184] otras,fueron [184] casos,paludismo [184] amazonas,dicen [184] endemia,junto [184] dicen,malaria [184] 90,casos [184] paludismo,amazonas [183] earisteguieta,90 Top Word Pairs in Tweet in G5:
[152] yanomamis,cresceram [152] casos,malária [152] malária,yanomamis [152] governo,lula [152] cresceram,673 [105] primeiro,governo [105] 673,primeiro [104] terrabrasilnot,casos [47] 1º,governo [47] 673,1º Top Word Pairs in Tweet in G6:
[109] aboga,políticas [109] ecológicas,gasto [109] volar,mundo [109] gates,preguntan [109] bill,gates [109] mientras,aboga [109] políticas,ecológicas [109] preguntan,volar [109] mundo,jets [109] jets,mientras Top Word Pairs in Tweet in G7:
[117] yousaf,lawyer [117] lawyer,client [117] client,suffering [117] outset,hearing [117] hearing,yousaf [117] suffering,malaria [98] #نااہل_حکمرانوں_استعفی_دو,outset [97] khanzadaa3,#نااہل_حکمرانوں_استعفی_دو [20] therefore,failed [20] malaria,therefore Top Word Pairs in Tweet in G8:
[4] yes_we_cat,manifesto2000 [2] josh_pactor,tattooedsaint1 [2] pakeha56,steven495 [2] dlsmith0817,p3ng1z [2] abrahamibnezra,journalofajew [2] gomiriam63,victornakba [2] katsikajules,dwight9898 [2] ahmedyoussef810,feminist_beast [2] nkippur,yes_we_cat [2] godzuki2fu,iq15991967 Top Word Pairs in Tweet in G9:
[72] malaria,buy [72] zeropricekla,call [72] nets,zeropricekla [72] yourself,quality [72] mosquitoes,mean [72] mean,malaria [72] buy,yourself [72] quality,mosquito [72] mosquito,nets [72] chance,mosquitoes Top Word Pairs in Tweet in G10:
[45] ke,bare [38] #embed,project [33] bare,jankari [33] project,balaghat [30] dengue,malaria [26] dengu,malaria [20] community,tested [20] malaria,equipping [20] pariyojna,duara [20] ensuring,early Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
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: