The graph represents a network of 6,646 Twitter users whose tweets in the requested range contained "#Immigration", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 20 September 2021 at 21:26 UTC.
The requested start date was Monday, 20 September 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 5-day, 19-hour, 42-minute period from Tuesday, 14 September 2021 at 03:00 UTC to Sunday, 19 September 2021 at 22:43 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 6646
Unique Edges : 5491
Edges With Duplicates : 11144
Total Edges : 16635
Number of Edge Types : 5
Tweet : 2042
Retweet : 4575
MentionsInRetweet : 7256
Mentions : 2289
Replies to : 473
Self-Loops : 2155
Reciprocated Vertex Pair Ratio : 0.0139923267885353
Reciprocated Edge Ratio : 0.0275984865346094
Connected Components : 1318
Single-Vertex Connected Components : 792
Maximum Vertices in a Connected Component : 3463
Maximum Edges in a Connected Component : 11150
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.15919
Graph Density : 0.000203475016342988
Modularity : 0.539166
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6,646 Twitter users whose tweets in the requested range contained "#Immigration", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 20 September 2021 at 21:26 UTC.
The requested start date was Monday, 20 September 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 5-day, 19-hour, 42-minute period from Tuesday, 14 September 2021 at 03:00 UTC to Sunday, 19 September 2021 at 22:43 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
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:
[321] thank,signing [321] signing,onto [321] onto,#eagleact [321] #eagleact,#hr3648 [321] #hr3648,wholeheartedly [321] wholeheartedly,welcome [321] welcome,support [321] support,seek [278] budget,reconciliation [274] illegal,immigrants Top Word Pairs in Tweet in G1:
[46] #canada,#immigration [45] express,entry [37] #immigration,#visa [36] #immigration,#canada [36] #immigration,#immigrants [36] law,firms [35] search,law [35] #divorce,#personalinjury [35] #personalinjury,#wills [35] #wills,#realestate Top Word Pairs in Tweet in G2:
[153] 65,points [153] #yaxisquiz,#win [153] #win,#immigration [153] #immigration,#visa [150] #quiz,#yaxisquiz [147] #yaxis,#indianmigrants [143] #indianmigrants,#migration [127] points,#contestalert [124] #migration,#migrateabroad [120] #contestalert,#quiz Top Word Pairs in Tweet in G3:
[321] thank,signing [321] signing,onto [321] onto,#eagleact [321] #eagleact,#hr3648 [321] #hr3648,wholeheartedly [321] wholeheartedly,welcome [321] welcome,support [321] support,seek [160] urge,senatordurbin [160] senatordurbin,ensure Top Word Pairs in Tweet in G4:
[57] keep,doing [57] doing,everything [57] everything,protect [57] protect,#dreamers [52] wait,senate [52] senate,parliamentiarian [52] parliamentiarian,decision [52] decision,know [52] know,keep [51] dickdurbin,wait Top Word Pairs in Tweet in G5:
[260] budget,reconciliation [246] watch,gregchenaila [244] gregchenaila,break [244] break,down [239] reconciliation,process [236] take,action [226] senalexpadilla,talks [226] talks,impact [226] impact,immigrants [226] immigrants,california Top Word Pairs in Tweet in G6:
[71] politique,d'immigration [71] d'immigration,fonctionne [70] fonctionne,seulement [70] seulement,mal [62] ses,propositions [62] propositions,chocs [62] chocs,l'#immigration [62] l'#immigration,michelbarnier [62] michelbarnier,politique [59] lci,ses Top Word Pairs in Tweet in G7:
[184] hungary's,pm [184] pm,viktor [184] viktor,orban [184] orban,handed [184] handed,pope [184] pope,provocative [184] provocative,gift [184] gift,copy [184] copy,letter [184] letter,13th Top Word Pairs in Tweet in G8:
[256] forces,arrested [249] illegal,immigrants [247] armyspoke_news,surasi [237] surasi,forces [237] arrested,11 [237] 11,illegal [237] immigrants,edge [237] edge,forest [237] forest,bongti [237] bongti,subdistrict Top Word Pairs in Tweet in G9:
[130] mlp_officiel,n'ai [130] n'ai,sentiment [130] sentiment,négatif [130] négatif,l'égard [130] l'égard,étrangers [130] étrangers,n'ai [130] n'ai,aucune [130] aucune,haine [130] haine,bfmtv [130] bfmtv,vois Top Word Pairs in Tweet in G10:
[69] ça,fait [68] eric,zemmour [68] zemmour,estime [68] estime,l'élection [68] l'élection,#présidentielle2022 [68] #présidentielle2022,jouerait [68] jouerait,thème [68] thème,l'#immigration [68] l'#immigration,ça [68] fait,20 Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: