The graph represents a network of 5,013 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 2/12/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 13 February 2023 at 23:20 UTC.
The tweets in the network were tweeted over the 1691-day, 19-hour, 50-minute period from Wednesday, 27 June 2018 at 05:08 UTC to Monday, 13 February 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 : 5013
Unique Edges : 2490
Edges With Duplicates : 8769
Total Edges : 11259
Number of Edge Types : 9
Retweet : 3031
MentionsInRetweet : 4422
Tweet : 1567
MentionsInReplyTo : 717
Replies to : 416
Mentions : 689
Quote : 252
MentionsInQuote : 153
MentionsInQuoteReply : 12
Self-Loops : 1855
Reciprocated Vertex Pair Ratio : 0.0123691722169363
Reciprocated Edge Ratio : 0.0244360902255639
Connected Components : 1018
Single-Vertex Connected Components : 613
Maximum Vertices in a Connected Component : 1653
Maximum Edges in a Connected Component : 4045
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 8.149191
Graph Density : 0.000211739978848291
Modularity : 0.494909
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,013 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 2/12/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 13 February 2023 at 23:20 UTC.
The tweets in the network were tweeted over the 1691-day, 19-hour, 50-minute period from Wednesday, 27 June 2018 at 05:08 UTC to Monday, 13 February 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:
[461] #criminalité,#délinquance [461] champs,mars [461] #saleté,#toureiffel [461] #délinquance,#saleté [461] excellents,#bourgeoisie [461] mars,sont [461] sont,excellents [461] #toureiffel,champs [460] #bourgeoisie,vot [460] jeanmessiha,#criminalité Top Word Pairs in Tweet in G1:
[39] #canada,#immigration [29] #immigration,#canada [24] #personalinjury,#wills [24] #realestate,#dui [24] #divorce,#personalinjury [24] search,law [24] #wills,#realestate [24] #commerciallaw,more [24] #immigration,#commerciallaw [24] law,firms Top Word Pairs in Tweet in G2:
[427] #saleté,#toureiffel [427] #délinquance,#saleté [427] champs,mars [427] sont,excellents [427] #toureiffel,champs [427] excellents,#bourgeoisie [427] #criminalité,#délinquance [427] mars,sont [426] #bourgeoisie,vot [426] jeanmessiha,#criminalité Top Word Pairs in Tweet in G3:
[395] #immigration,let's [395] peterstefanovi2,peterstefanovi2 [395] facts,truth [395] truth,#immigration [395] thatginamiller,peterstefanovi2 [395] spells,facts [395] precise,spells [395] peterstefanovi2,precise [393] let's,absolut [21] boat,crossings Top Word Pairs in Tweet in G4:
[59] american,#freedmen [58] #freedmen,ethnic [58] ethnic,lineage [57] share,property [57] lineage,women [57] property,american [57] visa,renewals [57] women,saved [57] #gop,#dems4usa [57] saved,humanity Top Word Pairs in Tweet in G5:
[24] far,right [18] breaking,#immigration [18] record,breaking [15] illegal,#immigration [14] #conservatives,record [13] small,boats [13] #immigration,#wef [12] sites,sewage [12] giving,planning [12] enforcing,warped Top Word Pairs in Tweet in G6:
[231] rise,small [231] small,boat [231] steepest,rise [231] crossings,dunkirk [231] policies,caused [231] boat,crossings [231] caused,steepest [230] dunkirk,human [227] brexit,tory [227] tory,policies Top Word Pairs in Tweet in G7:
[116] #cdnimm,#immigration [112] #immigration,#canada [94] #canada,#ircc [82] #ircc,#canadavisa [65] #canadavisa,#cicnews [27] doubled,productivity [27] productivity,ve [27] minister,seanfrasermp [27] ircc,minister [26] express,entry Top Word Pairs in Tweet in G8:
[6] avoir,aidé [6] condamnées,avoir [6] depuis,2019 [6] #immigration,trois [6] mayotte,depuis [6] illégalement,mayotte [6] aidé,40000 [6] trois,personnes [6] entrer,illégalement [6] 40000,migrants Top Word Pairs in Tweet in G9:
[40] stop,l'immigration [40] l'immigration,massive [39] perd,contrôle [39] clairement,gouvernement [39] croo,decrooalexander [39] contrôle,accueil [39] massive,clairement [39] decrooalexander,perd [39] gouvernement,croo [38] cheznousoff,stop Top Word Pairs in Tweet in G10:
[36] pourtant,#fraude [36] réforme,#retraites [36] vides,pourtant [36] caisses,sont [36] #macron,veut [36] #fraude,sociale [36] imposer,réforme [36] #retraites,prétend [36] veut,imposer [36] sont,vides 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: