The graph represents a network of 5,164 Twitter users whose recent tweets contained "@pew", 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 2/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 February 2023 at 18:18 UTC.
The tweets in the network were tweeted over the 4585-day, 21-hour, 56-minute period from Wednesday, 28 July 2010 at 18:25 UTC to Thursday, 16 February 2023 at 16:21 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 : 5164
Unique Edges : 5795
Edges With Duplicates : 11896
Total Edges : 17691
Number of Edge Types : 9
Retweet : 1527
MentionsInRetweet : 3436
Replies to : 2711
MentionsInReplyTo : 7744
Mentions : 1605
MentionsInQuote : 262
Tweet : 132
Quote : 127
MentionsInQuoteReply : 147
Self-Loops : 396
Reciprocated Vertex Pair Ratio : 0.0207389509715091
Reciprocated Edge Ratio : 0.0406351711214124
Connected Components : 3
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 5158
Maximum Edges in a Connected Component : 17686
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.653257
Graph Density : 0.000380282871345342
Modularity : 0.35892
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,164 Twitter users whose recent tweets contained "@pew", 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 2/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 February 2023 at 18:18 UTC.
The tweets in the network were tweeted over the 4585-day, 21-hour, 56-minute period from Wednesday, 28 July 2010 at 18:25 UTC to Thursday, 16 February 2023 at 16:21 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 : @pew
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:
[2306] erikmouthaanrtl,pew [207] citizens,countries [206] countries,#trust [202] #scientists,pew [202] #trust,#scientists [184] donald,trump [178] white,evangelicals [175] trump,2020 [174] church,going [174] pew,85 Top Word Pairs in Tweet in G1:
[2108] erikmouthaanrtl,pew [103] verstandige,dingen [92] zal,doen [91] dingen,zal [89] nederland,dat [89] president,vs [89] flink,verschil [88] dat,flink [88] vertrouwen,toegenomen [88] verschil,vertrouwen Top Word Pairs in Tweet in G2:
[178] white,evangelicals [174] 85,percent [174] donald,trump [174] church,going [174] pew,85 [173] notable,sinner [173] supported,notable [173] sinner,donald [173] going,white [173] percent,church Top Word Pairs in Tweet in G3:
[201] citizens,countries [200] countries,#trust [196] #scientists,pew [196] #trust,#scientists [166] wef,citizens [22] fisher85m,citizens [22] antgrasso,fisher85m [22] wef,pew [22] mikequindazzi,antgrasso [14] pew,wef Top Word Pairs in Tweet in G4:
[74] cristianapascap,urges [74] secretary,dr [74] #doonethingtoday,#marine [74] urges,everyone [74] executive,secretary [74] #worldwildlifeday,executive [74] dr,cristianapascap [74] everyone,#doonethingtoday [73] unbiodiversity,#worldwildlifeday [73] #marine,# Top Word Pairs in Tweet in G5:
[35] pewdiepie,pew [33] pewdiepie,twitch [33] google,scrowder [33] scrowder,pewdiepie [33] usmc,google [33] marsocofficial,usmc [31] twitch,pew [30] originpc,pewdiepie [24] pew,unfccc [23] pewdiepie,pewdiepie Top Word Pairs in Tweet in G6:
[10] gop,26 [9] 50,50 [8] 30,gop [7] approval,rating [6] reagan,55 [6] 39,pt [6] ghw,bush [6] pt,1st [6] obama,64 [6] realdonaldtrump,approval Top Word Pairs in Tweet in G7:
[111] paoramos,pew [84] pew,aliciamenendez [36] latino,vote [36] 38,latino [36] trump,won [36] won,38 [35] pew,trump [35] doesn,explain [35] 16,politics [35] politics,alone Top Word Pairs in Tweet in G8:
[5] ssrs_research,likes [5] pew,cnn [5] cnn,kaiserfamfound [5] dankennedy_nu,pew [5] known,conducting [5] pew,npr [5] kaiserfamfound,ssrs_research [5] likes,fun [5] heidilegg,dankennedy_nu [5] partners,pew Top Word Pairs in Tweet in G9:
[64] tell,order [64] thousand,naira [64] fifteen,thousand [64] kidding,fifteen [64] order,kidding [64] naira,beauty [63] ajaywears,tell [63] beauty,becom [4] pew,max_sticks [4] unclebeeola,pew Top Word Pairs in Tweet in G10:
[2] erikmouthaanrtl,pew [2] wybrenvanhaga,pieteromtzigt [2] npo1,wnlopzondag [2] wnlopzondag,geertwilderspvv [2] pieteromtzigt,lientje1967 [2] ongehoordnedtv,npo1 [2] elonmusk,ongehoordnedtv [2] geertwilderspvv,wybrenvanhaga 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 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:
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: