The graph represents a network of 4,949 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 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 23:20 UTC.
The tweets in the network were tweeted over the 1891-day, 18-hour, 24-minute period from Saturday, 04 November 2017 at 06:34 UTC to Monday, 09 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 : 4949
Unique Edges : 3079
Edges With Duplicates : 8060
Total Edges : 11139
Number of Edge Types : 9
Retweet : 2906
MentionsInRetweet : 3998
MentionsInQuote : 156
Tweet : 1602
Replies to : 449
MentionsInReplyTo : 854
Mentions : 830
Quote : 254
MentionsInQuoteReply : 90
Self-Loops : 1928
Reciprocated Vertex Pair Ratio : 0.00948660714285714
Reciprocated Edge Ratio : 0.0187949143173024
Connected Components : 1006
Single-Vertex Connected Components : 588
Maximum Vertices in a Connected Component : 2700
Maximum Edges in a Connected Component : 7287
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 8.970369
Graph Density : 0.000221621901519999
Modularity : 0.508539
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,949 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 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 23:20 UTC.
The tweets in the network were tweeted over the 1891-day, 18-hour, 24-minute period from Saturday, 04 November 2017 at 06:34 UTC to Monday, 09 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:
[275] #immigration,#franceendanger [274] majocoxi,#immigration [216] tells,stories [215] immigrants,suffering [215] documentary,tells [215] brings,movie [215] vidyut13,brings [215] stories,high [215] #greencardbacklog,documentary [215] suffering,#greencardbacklog Top Word Pairs in Tweet in G1:
[30] #canada,#brampton [30] ਆ,#canada [30] #punjabi,#immigration [30] ਡ,ਆ [30] ਢ,ਡ [29] #brampton,#student [29] #student,#punjabi [28] #ਜ,ਸ [28] ਸ,ਢ [27] #immigration,#canada Top Word Pairs in Tweet in G2:
[262] #immigration,#franceendanger [261] majocoxi,#immigration [102] #penuries,#inflation [102] rien,fonctionne [102] fonctionne,france [102] #hopital,#servicespublics [102] #electricité,#dette [102] #dette,#penuries [102] plus,rien [102] #inflation,#hopital Top Word Pairs in Tweet in G3:
[214] #greencardbacklog,documentary [214] movie,immigrants [214] brings,movie [214] documentary,tells [214] stories,high [214] tells,stories [214] immigrants,suffering [214] suffering,#greencardbacklog [214] vidyut13,brings [213] dcwaladesi,vidyut13 Top Word Pairs in Tweet in G4:
[16] seems,awfully [16] mckinsey,demands [16] awfully,cozy [16] government,seems [16] demands,scrutiny [16] trudeau,government [16] justintrudeau,mckinsey [16] scrutiny,justintrudeau [16] cozy,mckinsey [15] konradyakabuski,trudeau Top Word Pairs in Tweet in G5:
[122] tellement,devrait [122] devrait,accueillir [122] #gauchisme,#immigr [122] davantage,serait [122] aiment,tellement [122] enrichir,#gauchisme [122] flasholl1,ils [122] dommage,enrichir [122] serait,dommage [122] accueillir,davantage Top Word Pairs in Tweet in G6:
[45] biden,administration [44] gop,please [44] tweets,giving [44] apprehended,immigrants [44] administration,credit [44] read,tweets [44] immigrants,during [44] please,read [44] credit,apprehended [44] giving,biden Top Word Pairs in Tweet in G7:
[21] made,worse [21] #global,#migration [20] ignoring,#global [20] created,#bordercrisis [20] #population,grows [20] gop,created [20] grows,unsustainably [20] #women,nonabortive [20] republican,#globalgagrule [20] increases,#population Top Word Pairs in Tweet in G8:
[86] mass,immigration [86] laura_n_rod,mass [86] americans,everyone [86] immigration,hurts [86] black,americans [86] look,angeles [86] hurts,black [86] everyone,knows [86] knows,look [86] angeles,blacks Top Word Pairs in Tweet in G9:
[70] took,place [63] express,entry [61] canadian,government [60] entry,draw [60] conducts,express [60] toronto,canadian [60] protest,took [60] government,conducts [60] place,toronto [60] #resumececdraw,protest Top Word Pairs in Tweet in G10:
[10] immigration,policy [10] year,bars [10] 10,year [10] things,know [10] know,10 [9] bars,updating [9] president,biden [9] overly,punitive [9] updating,overly [9] punitive,immigration 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 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: