The graph represents a network of 5,914 Twitter users whose recent tweets contained "pew research", 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 3/15/2023 5:00:36 PM. The network was obtained from Twitter on Thursday, 16 March 2023 at 01:40 UTC.
The tweets in the network were tweeted over the 2221-day, 5-hour, 18-minute period from Monday, 13 February 2017 at 18:38 UTC to Wednesday, 15 March 2023 at 23:57 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 : 5914
Unique Edges : 3094
Edges With Duplicates : 10759
Total Edges : 13853
Number of Edge Types : 9
Retweet : 2910
MentionsInRetweet : 3397
MentionsInReplyTo : 4264
Replies to : 1692
Tweet : 1072
Mentions : 351
Quote : 72
MentionsInQuote : 33
MentionsInQuoteReply : 62
Self-Loops : 1419
Reciprocated Vertex Pair Ratio : 0.0592775548008645
Reciprocated Edge Ratio : 0.111920722821335
Connected Components : 1067
Single-Vertex Connected Components : 411
Maximum Vertices in a Connected Component : 2093
Maximum Edges in a Connected Component : 5251
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 7.252835
Graph Density : 0.00019622824267171
Modularity : 0.489985
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,914 Twitter users whose recent tweets contained "pew research", 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 3/15/2023 5:00:36 PM. The network was obtained from Twitter on Thursday, 16 March 2023 at 01:40 UTC.
The tweets in the network were tweeted over the 2221-day, 5-hour, 18-minute period from Monday, 13 February 2017 at 18:38 UTC to Wednesday, 15 March 2023 at 23:57 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 research
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:
[3048] pew,research [1017] research,center [599] china,fm [599] wang,wenbin [599] style,country [599] fm,spokesman [598] 'beacon,democracy' [598] wenbin,style [598] spokesman,wang [598] country,'beacon Top Word Pairs in Tweet in G1:
[586] fm,spokesman [586] style,country [586] democracy',true [586] spokesman,wang [586] wenbin,style [586] country,'beacon [586] 'beacon,democracy' [586] wang,wenbin [586] china,fm [585] upholdreality,china Top Word Pairs in Tweet in G2:
[440] pew,research [271] research,center [86] according,pew [65] pay,gap [62] 20,years [54] gender,pay [42] years,ago [40] little,changed [39] remains,stable [39] research,finds Top Word Pairs in Tweet in G3:
[269] pew,research [259] fuck,pew [256] last,12 [256] 12,months [256] dates,last [256] dyingscribe,fuck [256] lot,dates [256] tinder,hinge [256] girls,tinder [256] months,girls Top Word Pairs in Tweet in G4:
[201] capitalism,democracy [200] answer,quite [200] make,lives [200] democracy,really [200] countries,better [200] former,ussr [200] ussr,countries [200] really,make [200] better,answer [200] quite,unexpected Top Word Pairs in Tweet in G5:
[21] mental,health [17] substance,use [16] health,substance [16] affordable,housing [14] pedestrian,deaths [14] right,red [12] research,shows [12] past,states [12] states,considering [12] considering,bans Top Word Pairs in Tweet in G6:
[42] strong,economies [42] fleets,travel [42] governments,strong [42] subsidies,fleets [42] waters,governments [42] economies,provide [42] provide,subsidies [42] overfishing,waters [38] pewenvironment,overfishing [35] roads,safer Top Word Pairs in Tweet in G7:
[181] pew,research [168] 29,single [168] ages,18 [168] data,shows [168] between,ages [168] 18,29 [168] men,between [168] research,data [168] shows,63 [168] single,51 Top Word Pairs in Tweet in G8:
[184] pew,research [123] gender,pay [123] pay,gap [114] stable,little [114] ago,pew [114] remains,stable [114] little,changed [114] years,ago [114] gap,remains [114] research,finds Top Word Pairs in Tweet in G9:
[59] pew,research [10] york,times [10] research,york [10] quite,literally [10] according,pew [10] research,center [9] social,media [9] calltoactivism,pew [8] maga,social [7] diminished,maga Top Word Pairs in Tweet in G10:
[54] pew,research [25] media,polled [25] recently,found [25] gallup,recently [25] trust,media [25] polled,11 [25] found,trust [24] vote,republican [23] survey,found [23] found,media 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 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: