The graph represents a network of 4,046 Twitter users whose recent tweets contained "#Immigration", 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 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 23:19 UTC.
The tweets in the network were tweeted over the 1019-day, 3-hour, 13-minute period from Wednesday, 01 April 2020 at 21:45 UTC to Monday, 16 January 2023 at 00:58 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 : 4046
Unique Edges : 2894
Edges With Duplicates : 13899
Total Edges : 16793
Number of Edge Types : 9
Retweet : 3165
MentionsInRetweet : 4939
Tweet : 940
Quote : 157
Replies to : 930
MentionsInReplyTo : 5968
Mentions : 517
MentionsInQuoteReply : 22
MentionsInQuote : 155
Self-Loops : 1122
Reciprocated Vertex Pair Ratio : 0.00583515681983953
Reciprocated Edge Ratio : 0.0116026105873822
Connected Components : 654
Single-Vertex Connected Components : 381
Maximum Vertices in a Connected Component : 2343
Maximum Edges in a Connected Component : 13761
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 6.389583
Graph Density : 0.000337038763734971
Modularity : 0.309383
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,046 Twitter users whose recent tweets contained "#Immigration", 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 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 23:19 UTC.
The tweets in the network were tweeted over the 1019-day, 3-hour, 13-minute period from Wednesday, 01 April 2020 at 21:45 UTC to Monday, 16 January 2023 at 00:58 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 : #Immigration
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:
[697] visa,decision [687] student,visa [686] bias,visa [664] getting,visa [664] visa,refused [664] visa,bias [664] narendramodi,sbs [664] sbs,abc [664] partial,loan [664] case,getting Top Word Pairs in Tweet in G1:
[443] je_puig,gwgoldnadel [428] avis,#cohnbendit [428] éloge,pédophilie [428] fait,éloge [428] quelqu,fait [428] gwgoldnadel,avis [428] #cohnbendit,provocation [428] provocation,quelqu [380] je_puig,gabriellecluzel [334] pédophilie,pardonnez Top Word Pairs in Tweet in G2:
[25] #canada,#immigration [24] #personalinjury,#wills [24] #realestate,#dui [24] #divorce,#personalinjury [24] search,law [24] #wills,#realestate [24] #commerciallaw,more [24] #immigration,#commerciallaw [24] law,firms [24] #dui,#immigration Top Word Pairs in Tweet in G3:
[319] vtremolet,très [319] gouvernemental,#natalité [319] très,bien [319] dernier,vtremolet [319] bien,défini [319] éditorial,mardi [319] mardi,dernier [319] projet,gouvernemental [319] défini,failles [319] failles,projet Top Word Pairs in Tweet in G4:
[45] qu,ils [42] expliquent,qu [42] notre,boulanger [42] ils,vivent [42] boulanger,agriculteurs [42] vivent,mieux [42] pendant,notre [42] papiers,expliquent [42] mieux,pendant [42] sans,papiers Top Word Pairs in Tweet in G5:
[60] indian,americans [59] americans,advocate [59] awareness,fear [59] talks,lack [59] lack,awareness [59] anangbhai,talks [59] advocate,#immigration [59] fear,indian [59] issues,#eagleact [59] #immigration,issues Top Word Pairs in Tweet in G6:
[65] #cdnimm,#immigration [60] #immigration,#canada [49] #canada,#ircc [48] 000,immigrants [45] country,thrives [45] thrives,#immigration [45] canada,set [45] 500,000 [45] immigrants,year [45] welcome,500 Top Word Pairs in Tweet in G7:
[117] n'est,content [117] content,ce [117] hallucinant,d'entendre [117] d'entendre,c'est [117] ce,l'#immigration [117] c'est,#francais [117] lui,n'est [117] chez,lui [117] partir,chez [117] #francais,partir Top Word Pairs in Tweet in G8:
[47] already,let's [47] told,long [47] come,together [47] shankill,went [47] happen,shankill [47] went,far [47] long,happen [47] far,already [47] let's,come [46] jolenebuntinguk,told Top Word Pairs in Tweet in G9:
[697] visa,decision [686] student,visa [686] bias,visa [664] sbs,abc [664] getting,visa [664] visa,refused [664] case,getting [664] visa,bias [664] narendramodi,sbs [664] partial,loan Top Word Pairs in Tweet in G10:
[23] suella,braverman [21] braverman,claim [21] invasion,uk [21] experts,dubious [21] uk,experts [21] dubious,suella [21] #suellabraverman,#immigration [21] claim,#suellabraverman [20] labisiffre,invasion [13] leave,folks 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 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: