The graph represents a network of 6,185 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, 11 July 2022 at 22:27 UTC.
The requested start date was Monday, 11 July 2022 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 7-day, 13-hour, 37-minute period from Sunday, 03 July 2022 at 09:03 UTC to Sunday, 10 July 2022 at 22:41 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 : 6185
Unique Edges : 3370
Edges With Duplicates : 11080
Total Edges : 14450
Number of Edge Types : 5
Retweet : 4521
MentionsInRetweet : 5728
Mentions : 1516
Tweet : 2337
Replies to : 348
Self-Loops : 2436
Reciprocated Vertex Pair Ratio : 0.0126582278481013
Reciprocated Edge Ratio : 0.025
Connected Components : 1273
Single-Vertex Connected Components : 777
Maximum Vertices in a Connected Component : 3489
Maximum Edges in a Connected Component : 9346
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 5.202448
Graph Density : 0.000177786887903276
Modularity : 0.463837
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,185 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, 11 July 2022 at 22:27 UTC.
The requested start date was Monday, 11 July 2022 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 7-day, 13-hour, 37-minute period from Sunday, 03 July 2022 at 09:03 UTC to Sunday, 10 July 2022 at 22:41 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:
[353] l'#immigration,fais [353] fais,courte [353] courte,tradition [353] tradition,d'asile [353] traitement,demandes [353] demandes,droits [353] droits,devoirs [352] jwaintraub,l'#immigration [346] accã,lã [345] d'asile,accã Top Word Pairs in Tweet in G1:
[48] #canada,#immigration [46] express,entry [39] #immigration,#canada [33] àª,ઠ[32] search,law [32] law,firms [32] #divorce,#personalinjury [32] #personalinjury,#wills [32] #wills,#realestate [32] #realestate,#dui Top Word Pairs in Tweet in G2:
[267] 5th,circuit [265] circuit,court [224] united,states [217] texas,united [191] outside,5th [190] #daca,recipients [185] recipients,#immigration [185] #immigration,advocates [118] dreamers,#daca [117] oral,arguments Top Word Pairs in Tweet in G3:
[74] scoop,whitehouse [74] whitehouse,considering [74] #immigration,senate [74] senate,leadership [74] leadership,asked [74] asked,wh [74] wh,stall [74] stall,dems [74] dems,senate [73] considering,eoâ Top Word Pairs in Tweet in G4:
[234] france,n'a [234] n'a,plus [234] plus,d'argent [234] d'argent,dette [234] dette,augmente [234] augmente,proportions [234] proportions,folles [234] folles,mais [234] mais,toujours [234] toujours,moyens Top Word Pairs in Tweet in G5:
[304] l'#immigration,fais [304] fais,courte [304] courte,tradition [304] tradition,d'asile [304] traitement,demandes [304] demandes,droits [304] droits,devoirs [303] jwaintraub,l'#immigration [297] d'asile,accã [297] accã,lã Top Word Pairs in Tweet in G6:
[259] eric,#zemmour [259] #zemmour,face [259] info,faut [259] ces,droits [259] droits,aux [258] bactualites,eric [255] face,lâ [255] lâ,info [255] faut,ter [255] ter,ces Top Word Pairs in Tweet in G7:
[173] gabriellecluzel,ubuesque [173] avoir,15 [173] 15,ans [170] ubuesque,arrãªtã [170] arrãªtã,dã [170] dã,linquantes [170] linquantes,bosniaques [170] prã,tendait [170] tendait,avoir [97] ans,avait Top Word Pairs in Tweet in G8:
[36] #sã,paratisme [34] #immigration,#islamisation [28] #islamisation,#communautarisme [28] #insã,curitã [26] tribundanton,#immigration [26] caste,people [25] #communautarisme,#sã [25] #député,#européen [25] #européen,polonais [25] polonais,répond Top Word Pairs in Tweet in G9:
[27] gave,#brexit [27] #brexit,#furlough [25] #furlough,vaccine [21] #backboris,gave [18] vaccine,roll [18] roll,agreement [18] agreement,#eu [18] #eu,lowest [12] #unemployment,good [12] good,#economy Top Word Pairs in Tweet in G10:
[29] story,aoc [29] aoc,#aoc [29] #aoc,#aoc2024 [29] #aoc2024,#congress [29] #congress,#immigration [6] border,agents [5] billfoxla,foxnews [5] foxnews,border [5] agents,told [5] told,stop Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: