The graph represents a network of 5,137 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 2/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 February 2023 at 18:18 UTC.
The tweets in the network were tweeted over the 4579-day, 12-hour, 23-minute period from Wednesday, 28 July 2010 at 18:25 UTC to Friday, 10 February 2023 at 06:48 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 : 5137
Unique Edges : 5771
Edges With Duplicates : 11891
Total Edges : 17662
Number of Edge Types : 9
Retweet : 1533
MentionsInRetweet : 3457
Replies to : 2704
MentionsInReplyTo : 7708
Mentions : 1594
MentionsInQuote : 262
Tweet : 130
Quote : 127
MentionsInQuoteReply : 147
Self-Loops : 390
Reciprocated Vertex Pair Ratio : 0.0206799152627862
Reciprocated Edge Ratio : 0.0405218422613165
Connected Components : 3
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 5131
Maximum Edges in a Connected Component : 17657
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.644674
Graph Density : 0.000383495342870155
Modularity : 0.357548
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,137 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 2/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 February 2023 at 18:18 UTC.
The tweets in the network were tweeted over the 4579-day, 12-hour, 23-minute period from Wednesday, 28 July 2010 at 18:25 UTC to Friday, 10 February 2023 at 06:48 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:
[2318] erikmouthaanrtl,pew [206] citizens,countries [205] countries,#trust [201] #scientists,pew [201] #trust,#scientists [181] donald,trump [173] white,evangelicals [171] trump,2020 [170] church,going [170] pew,85 Top Word Pairs in Tweet in G1:
[2102] erikmouthaanrtl,pew [102] verstandige,dingen [91] zal,doen [90] dingen,zal [88] flink,verschil [88] president,vs [88] nederland,dat [87] verschil,vertrouwen [87] dat,president [87] vertrouwen,toegenomen Top Word Pairs in Tweet in G2:
[173] white,evangelicals [170] pew,85 [170] church,going [170] 85,percent [170] donald,trump [169] reminder,pew [169] trump,2020 [169] percent,church [169] evangelicals,supported [169] supported,notable Top Word Pairs in Tweet in G3:
[200] citizens,countries [199] countries,#trust [195] #trust,#scientists [195] #scientists,pew [165] wef,citizens [22] fisher85m,citizens [22] mikequindazzi,antgrasso [22] antgrasso,fisher85m [21] wef,pew [14] pew,wef Top Word Pairs in Tweet in G4:
[74] cristianapascap,urges [74] urges,everyone [74] secretary,dr [74] everyone,#doonethingtoday [74] executive,secretary [74] #worldwildlifeday,executive [74] dr,cristianapascap [74] #doonethingtoday,#marine [73] #marine,# [73] unbiodiversity,#worldwildlifeday 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:
[110] paoramos,pew [83] 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] known,conducting [5] serious,#polls [5] pew,cnn [5] #polls,partners [5] pew,npr [5] kaiserfamfound,ssrs_research [5] partners,pew [5] dankennedy_nu,pew [5] likes,fun [5] cnn,kaiserfamfound Top Word Pairs in Tweet in G9:
[62] tell,order [62] thousand,naira [62] fifteen,thousand [62] kidding,fifteen [62] order,kidding [62] naira,beauty [61] ajaywears,tell [61] beauty,becom [4] pew,max_sticks [4] unclebeeola,pew Top Word Pairs in Tweet in G10:
[34] estadounidenses,siguen [34] siguen,teniendo [34] lenguas,extranjeras [34] teniendo,grandes [34] grandes,carencias [34] extranjeras,contrasta [34] estudio,lenguas [34] carencias,estudio [34] estudiantes,estadounidenses [31] elordenmundial,estudiantes 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: