The graph represents a network of 6,492 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, 24 January 2022 at 22:25 UTC.
The requested start date was Monday, 24 January 2022 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 5-day, 11-hour, 46-minute period from Sunday, 16 January 2022 at 10:57 UTC to Friday, 21 January 2022 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 : 6492
Unique Edges : 4201
Edges With Duplicates : 11382
Total Edges : 15583
Number of Edge Types : 5
Mentions : 2162
Retweet : 4875
MentionsInRetweet : 6294
Tweet : 1850
Replies to : 402
Self-Loops : 1937
Reciprocated Vertex Pair Ratio : 0.0192503824579296
Reciprocated Edge Ratio : 0.0377736085053158
Connected Components : 1085
Single-Vertex Connected Components : 658
Maximum Vertices in a Connected Component : 3734
Maximum Edges in a Connected Component : 10749
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 5.649269
Graph Density : 0.000189726654081821
Modularity : 0.491943
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6,492 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, 24 January 2022 at 22:25 UTC.
The requested start date was Monday, 24 January 2022 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 5-day, 11-hour, 46-minute period from Sunday, 16 January 2022 at 10:57 UTC to Friday, 21 January 2022 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:
[590] regroupement,familial [540] #immigration,éric [516] #pecresse,favorable [516] favorable,regroupement [516] familial,loin [516] loin,#immigration [516] éric,zemmour [515] sandrafellous_,#pecresse [515] zemmour,#lafrancedansl [266] army,border Top Word Pairs in Tweet in G1:
[44] #canada,#immigration [33] express,entry [29] pnp,draw [28] search,law [28] law,firms [28] #divorce,#personalinjury [28] #personalinjury,#wills [28] #wills,#realestate [28] #realestate,#dui [28] #dui,#immigration Top Word Pairs in Tweet in G2:
[497] regroupement,familial [462] #immigration,éric [461] #pecresse,favorable [461] favorable,regroupement [461] familial,loin [461] loin,#immigration [461] éric,zemmour [460] sandrafellous_,#pecresse [460] zemmour,#lafrancedansl [68] 90000,concernant Top Word Pairs in Tweet in G3:
[80] nationalité,française [79] expulsions,#clandestins [78] explosion,acquistions [78] acquistions,nationalité [78] française,visas [78] visas,long [78] long,séjour [78] séjour,expulsions [78] #clandestins,berne [78] berne,tout Top Word Pairs in Tweet in G4:
[185] sont,tombés [180] titres,séjour [178] #immigration,chiffres [178] chiffres,2021 [178] 2021,sont [178] tombés,record [178] record,titres [178] séjour,effondrement [178] effondrement,éloignements [178] éloignements,clandestins Top Word Pairs in Tweet in G5:
[56] #immigration,policies [49] biden,delivered [49] delivered,worst [49] worst,worlds [49] worlds,inhumane [48] green,card [45] #visadreamer,story [45] story,green [45] card,many [45] many,don Top Word Pairs in Tweet in G6:
[141] #yaxis,#indianmigrants [140] #immigration,#visa [138] five,years [105] #yaxisquiz,#win [105] #win,#immigration [104] #quiz,#yaxisquiz [103] #visa,#prvisa [100] years,#contestalert [98] yaxis,five [93] #indianmigrants,#migration Top Word Pairs in Tweet in G7:
[141] gauchemafia,zemmoureric [138] mais,peuple [136] zemmoureric,démocratie [136] démocratie,ce [136] ce,juge [136] juge,gouverne [136] gouverne,mais [136] peuple,#immigration [136] #immigration,ferai [136] ferai,donc Top Word Pairs in Tweet in G8:
[264] army,border [264] border,forces [144] intercepting,illegal [143] covid,19 [142] forces,intercepting [142] illegal,immigration [142] immigration,ongoing [142] ongoing,spread [142] spread,covid [142] 19,continuously Top Word Pairs in Tweet in G9:
[23] illegal,#immigration [15] uk's,home [15] home,secretary [15] secretary,foreign [15] foreign,secretary [15] secretary,talks [15] talks,outsourcing [15] outsourcing,uk [15] uk,#asylum [15] #asylum,claims Top Word Pairs in Tweet in G10:
[14] #canada,#immigration [9] #immigration,#cdnimm [7] 19,20 [7] 20,01 [6] #update,#canada [6] #cilavoice,congratulates [6] congratulates,alberta [6] alberta,launching [6] launching,innovative [6] innovative,tech Top Replied-To in Entire Graph:
Top Replied-To in G2:
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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:
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Top Tweeters in G10: