The graph represents a network of 6,406 Twitter users whose recent tweets contained "fake news", 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 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 02:07 UTC.
The tweets in the network were tweeted over the 2124-day, 18-hour, 26-minute period from Thursday, 23 March 2017 at 06:33 UTC to Monday, 16 January 2023 at 01:00 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 : 6406
Unique Edges : 2919
Edges With Duplicates : 11054
Total Edges : 13973
Number of Edge Types : 9
Retweet : 3258
MentionsInRetweet : 3650
Replies to : 1925
MentionsInReplyTo : 3654
Quote : 191
Tweet : 943
MentionsInQuote : 100
Mentions : 214
MentionsInQuoteReply : 38
Self-Loops : 1090
Reciprocated Vertex Pair Ratio : 0.0248945147679325
Reciprocated Edge Ratio : 0.0485796624125154
Connected Components : 976
Single-Vertex Connected Components : 151
Maximum Vertices in a Connected Component : 2923
Maximum Edges in a Connected Component : 7226
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.444388
Graph Density : 0.000177599893542427
Modularity : 0.508053
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,406 Twitter users whose recent tweets contained "fake news", 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 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 02:07 UTC.
The tweets in the network were tweeted over the 2124-day, 18-hour, 26-minute period from Thursday, 23 March 2017 at 06:33 UTC to Monday, 16 January 2023 at 01:00 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 : fake news
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:
[4861] fake,news [891] imposto,renda [834] news,imposto [830] governo,dilma [829] ano,governo [829] dilma,pt [829] último,ano [829] tabela,desatualizada [829] desatualizada,último [829] renda,tabela Top Word Pairs in Tweet in G1:
[996] fake,news [750] imposto,renda [749] news,imposto [748] leonelradde,fake [748] dilma,pt [748] ano,governo [748] pt,antes [748] desatualizada,último [748] renda,tabela [748] governo,dilma Top Word Pairs in Tweet in G2:
[439] fake,news [197] gabinete,ódio [136] divulgando,fake [133] esquerda,também [133] também,tem [131] seu,gabinete [131] ódio,prova [131] tem,seu [130] lulista,divulgando [130] prova,mais Top Word Pairs in Tweet in G3:
[263] fake,news [58] paulo,pimenta [57] rede,defesa [57] defesa,verdade [53] contrapor,fake [52] ministro,paulo [52] verdade,contrapor [51] news,bolsonaristas [50] pimenta,anuncia [50] anuncia,rede Top Word Pairs in Tweet in G4:
[320] fake,news [115] defesa,verdade [115] rede,defesa [105] reativar,rede [96] paulo,pimenta [86] pimenta,convoca [86] povo,contra [86] contra,fake [86] convoca,povo [86] news,precisamos Top Word Pairs in Tweet in G5:
[126] fake,news [5] news,precisamos [5] povo,contra [5] reativar,rede [5] rede,defesa [5] news,media [5] uma,fake [5] contra,fake [5] convoca,povo [5] pimenta,convoca Top Word Pairs in Tweet in G6:
[101] fake,news [80] não,durou [80] cadê,pessoal [80] nem,meses [80] mais,humildes [80] durou,nem [80] uma,fake [80] ia,acabar [80] votos,mais [80] pessoal,ia Top Word Pairs in Tweet in G7:
[53] fake,news [26] bolsonaristas,disseminando [26] mais,lixo [26] glenn,greenwald [26] lixo,minha [26] bloqueado,não [26] timeline,bolsonaristas [26] greenwald,silenciado [26] coloquem,mais [26] minha,timeline Top Word Pairs in Tweet in G8:
[107] fake,news [88] perfis,fakes [88] os,perfis [88] claramente,direita [88] máquina,fake [88] ódio,os [88] gabinete,ódio [88] news,sai [88] reorganizando,máquina [88] direita,tá Top Word Pairs in Tweet in G9:
[184] fake,news [102] arthur,merece [100] merece,respeito [80] arthur,aguiar [43] news,chega [42] em,paz [42] chega,fake [31] deixem,arthur [31] estamos,cansados [30] news,arthur Top Word Pairs in Tweet in G10:
[82] fake,news [13] desinformação,fake [12] contra,ataque [12] difícil,mas [12] sei,difícil [12] news,mais [12] mais,rapidez [12] gov,federal [12] trabalhar,mais [12] mas,gov 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 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:
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: