The graph represents a network of 5,133 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 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 18:18 UTC.
The tweets in the network were tweeted over the 4572-day, 23-hour, 34-minute period from Wednesday, 28 July 2010 at 18:25 UTC to Friday, 03 February 2023 at 18:00 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 : 5133
Unique Edges : 5761
Edges With Duplicates : 11880
Total Edges : 17641
Number of Edge Types : 9
Retweet : 1519
MentionsInRetweet : 3418
Replies to : 2717
MentionsInReplyTo : 7728
Mentions : 1592
MentionsInQuote : 263
Tweet : 130
Quote : 127
MentionsInQuoteReply : 147
Self-Loops : 389
Reciprocated Vertex Pair Ratio : 0.0199838514331853
Reciprocated Edge Ratio : 0.0391846427864635
Connected Components : 3
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 5127
Maximum Edges in a Connected Component : 17636
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.641998
Graph Density : 0.000383637791260651
Modularity : 0.357277
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,133 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 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 18:18 UTC.
The tweets in the network were tweeted over the 4572-day, 23-hour, 34-minute period from Wednesday, 28 July 2010 at 18:25 UTC to Friday, 03 February 2023 at 18:00 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 : @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:
[2322] 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:
[2099] erikmouthaanrtl,pew [104] verstandige,dingen [91] zal,doen [90] dingen,zal [88] nederland,dat [88] president,vs [88] flink,verschil [87] dat,flink [87] vertrouwen,toegenomen [87] verschil,vertrouwen 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] usmc,google [33] google,scrowder [33] scrowder,pewdiepie [33] marsocofficial,usmc [33] pewdiepie,twitch [31] originpc,pewdiepie [31] twitch,pew [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] pew,2018 [6] reagan,55 [6] term,reagan [6] rating,39 [6] 64,pew [6] 39,pt 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:
[6] erikmouthaanrtl,pew [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 Top Word Pairs in Tweet in G9:
[63] tell,order [63] thousand,naira [63] naira,beauty [63] fifteen,thousand [63] order,kidding [63] kidding,fifteen [62] ajaywears,tell [62] beauty,becom [4] _dammyb_,unclebeeola [4] itsmisola,gidioracle Top Word Pairs in Tweet in G10:
[34] carencias,estudio [34] estudiantes,estadounidenses [34] siguen,teniendo [34] grandes,carencias [34] estudio,lenguas [34] estadounidenses,siguen [34] lenguas,extranjeras [34] extranjeras,contrasta [34] teniendo,grandes [31] elordenmundial,estudiantes 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 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: