The graph represents a network of 5,174 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 3/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 March 2023 at 17:19 UTC.
The tweets in the network were tweeted over the 4610-day, 22-hour, 8-minute period from Wednesday, 28 July 2010 at 18:25 UTC to Monday, 13 March 2023 at 16:33 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 : 5174
Unique Edges : 5819
Edges With Duplicates : 11878
Total Edges : 17697
Number of Edge Types : 9
Retweet : 1511
MentionsInRetweet : 3397
Replies to : 2716
MentionsInReplyTo : 7773
Mentions : 1614
MentionsInQuote : 261
Tweet : 135
Quote : 127
MentionsInQuoteReply : 163
Self-Loops : 402
Reciprocated Vertex Pair Ratio : 0.0209192396660967
Reciprocated Edge Ratio : 0.0409811841197912
Connected Components : 3
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 5168
Maximum Edges in a Connected Component : 17692
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.658405
Graph Density : 0.000379262518782854
Modularity : 0.360566
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,174 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 3/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 March 2023 at 17:19 UTC.
The tweets in the network were tweeted over the 4610-day, 22-hour, 8-minute period from Wednesday, 28 July 2010 at 18:25 UTC to Monday, 13 March 2023 at 16:33 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:
[2282] erikmouthaanrtl,pew [206] citizens,countries [205] countries,#trust [201] #scientists,pew [201] #trust,#scientists [183] donald,trump [177] white,evangelicals [174] trump,2020 [173] church,going [173] pew,85 Top Word Pairs in Tweet in G1:
[2134] erikmouthaanrtl,pew [102] 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:
[177] white,evangelicals [173] pew,85 [173] church,going [173] 85,percent [173] donald,trump [172] reminder,pew [172] trump,2020 [172] percent,church [172] evangelicals,supported [172] 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] wef,pew [22] fisher85m,citizens [22] mikequindazzi,antgrasso [22] antgrasso,fisher85m [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:
[36] pewdiepie,pew [33] scrowder,pewdiepie [33] usmc,google [33] pewdiepie,twitch [33] google,scrowder [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:
[112] paoramos,pew [84] pew,aliciamenendez [37] latino,vote [37] 38,latino [37] trump,won [37] won,38 [36] pew,trump [36] doesn,explain [36] 16,politics [36] politics,alone Top Word Pairs in Tweet in G8:
[5] partners,pew [5] cnn,kaiserfamfound [5] heidilegg,dankennedy_nu [5] known,conducting [5] #polls,partners [5] ssrs_research,likes [5] pew,research [5] likes,fun [5] serious,#polls [5] pew,npr 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:
[14] costa,antártica [14] gélidas,bárbara [14] antártica,lanzar [14] bárbara,hernández [14] hernández,recorrerá [14] recorrerá,milla [14] cerca,costa [14] milla,cerca [14] aguas,gélidas [14] nadadora,chilena 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: