The graph represents a network of 7,298 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, 25 January 2021 at 20:49 UTC.
The requested start date was Monday, 25 January 2021 at 01:01 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 2-day, 19-hour, 37-minute period from Wednesday, 20 January 2021 at 05:11 UTC to Saturday, 23 January 2021 at 00:48 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 : 7298
Unique Edges : 6225
Edges With Duplicates : 12136
Total Edges : 18361
Number of Edge Types : 5
Retweet : 5592
MentionsInRetweet : 9171
Mentions : 2003
Tweet : 1254
Replies to : 341
Self-Loops : 1337
Reciprocated Vertex Pair Ratio : 0.01261712589294
Reciprocated Edge Ratio : 0.0249198350893266
Connected Components : 978
Single-Vertex Connected Components : 605
Maximum Vertices in a Connected Component : 4759
Maximum Edges in a Connected Component : 14093
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 3.889011
Graph Density : 0.000204963030978655
Modularity : 0.522386
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 7,298 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, 25 January 2021 at 20:49 UTC.
The requested start date was Monday, 25 January 2021 at 01:01 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 2-day, 19-hour, 37-minute period from Wednesday, 20 January 2021 at 05:11 UTC to Saturday, 23 January 2021 at 00:48 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:
[1998] action,#immigration [1997] joebiden,administration [1994] taking,action [1993] won,tolerate [1993] tolerate,unlawful [1993] unlawful,acts [1993] acts,joebiden [1993] administration,today [1993] today,taking [1992] kenpaxtontx,won Top Word Pairs in Tweet in G1:
[1976] won,tolerate [1976] tolerate,unlawful [1976] unlawful,acts [1976] acts,joebiden [1976] joebiden,administration [1976] administration,today [1976] today,taking [1976] taking,action [1976] action,#immigration [1975] kenpaxtontx,won Top Word Pairs in Tweet in G2:
[641] green,cards [590] 100,days [571] biden,administration [569] employment,based [562] administration,100 [562] days,promise [562] eliminate,'per [562] 'per,country [562] country,caps' [562] caps',employment Top Word Pairs in Tweet in G3:
[25] joe,biden [22] executive,orders [21] express,entry [21] president,biden [20] biden,administration [20] search,law [20] law,firms [20] #divorce,#personalinjury [20] #personalinjury,#wills [20] #wills,#realestate Top Word Pairs in Tweet in G4:
[192] student,visa [186] #yaxis,#indianmigrants [185] #win,#immigration [184] #immigration,#visa [183] #yaxisquiz,#win [183] #visa,#yaxis [175] #indianmigrants,#migration [174] #quiz,#yaxisquiz [147] yaxis,student [146] #migration,#migrateabroad Top Word Pairs in Tweet in G5:
[236] marre,cet [236] cet,anti [236] anti,trumpisme [236] trumpisme,primaire [236] primaire,vérité [236] vérité,tous [236] tous,ces [236] ces,gens [236] gens,détestent [236] détestent,méprisent Top Word Pairs in Tweet in G6:
[121] l'#immigration,massive [120] tous,récents [120] récents,sondages [120] sondages,l'indiquent [120] l'indiquent,majorité [120] majorité,français [120] français,sont [120] sont,contre [120] contre,l'#immigration [120] massive,s'attaquant Top Word Pairs in Tweet in G7:
[21] biden,released [21] released,fact [21] fact,sheets [21] sheets,day [21] day,immigration [21] immigration,bill [21] bill,executive [21] executive,action [21] action,day [21] day,bill Top Word Pairs in Tweet in G8:
[44] interieur_gouv,publié [43] publié,stats [43] stats,#immigration [43] #immigration,#asile [43] #asile,effet [43] effet,conjugué [43] conjugué,#pandémie [42] lacimade,interieur_gouv [42] #pandémie,politiqu [19] joe,#biden Top Word Pairs in Tweet in G9:
[91] backlash,over [91] over,biden [91] biden,plan [91] plan,reverse [91] reverse,trump's [91] trump's,#immigration [91] #immigration,policies [90] ingrahamangle,backlash [6] kenpaxtontx,won [6] won,tolerate Top Word Pairs in Tweet in G10:
[50] deeply,troubling [50] troubling,joe [50] joe,biden [50] biden,first [50] first,acts [50] acts,president [50] president,protect [50] protect,illegal [50] illegal,immigrants [50] immigrants,encourage Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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Top Replied-To in G6:
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Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: