The graph represents a network of 6,497 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, 06 December 2021 at 22:26 UTC.
The requested start date was Monday, 06 December 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 7-day, 3-hour, 42-minute period from Sunday, 28 November 2021 at 18:50 UTC to Sunday, 05 December 2021 at 22:32 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 : 6497
Unique Edges : 4729
Edges With Duplicates : 10834
Total Edges : 15563
Number of Edge Types : 5
Retweet : 4506
MentionsInRetweet : 6267
Tweet : 2220
Replies to : 395
Mentions : 2175
Self-Loops : 2361
Reciprocated Vertex Pair Ratio : 0.0203686992393967
Reciprocated Edge Ratio : 0.0399241945672773
Connected Components : 1288
Single-Vertex Connected Components : 749
Maximum Vertices in a Connected Component : 3297
Maximum Edges in a Connected Component : 9720
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.611245
Graph Density : 0.000187539190122611
Modularity : 0.509249
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6,497 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, 06 December 2021 at 22:26 UTC.
The requested start date was Monday, 06 December 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 7-day, 3-hour, 42-minute period from Sunday, 28 November 2021 at 18:50 UTC to Sunday, 05 December 2021 at 22:32 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:
[218] éric,#zemmour [192] #zemmour,depuis [192] depuis,décennies [192] décennies,droite [192] droite,gauche [192] gauche,ont [192] ont,conduit [192] conduit,chemin [192] chemin,déclin [192] déclin,ont Top Word Pairs in Tweet in G1:
[45] #immigration,#canada [32] #canada,#immigration [31] read,more [30] #immigration,#immigrationlaw [28] search,law [28] law,firms [28] #divorce,#personalinjury [28] #personalinjury,#wills [28] #wills,#realestate [28] #realestate,#dui Top Word Pairs in Tweet in G2:
[192] éric,#zemmour [175] #zemmour,depuis [175] depuis,décennies [175] décennies,droite [175] droite,gauche [175] gauche,ont [175] ont,conduit [175] conduit,chemin [175] chemin,déclin [175] déclin,ont Top Word Pairs in Tweet in G3:
[125] #immigration,provisions [121] legal,#immigration [120] elonmusk,patrickc [120] patrickc,ashleevance [120] ashleevance,paraga [120] paraga,elonmusk [120] elonmusk,gt [120] gt,legal [120] provisions,help [120] help,indian Top Word Pairs in Tweet in G4:
[144] visit,visa [143] #yaxis,#indianmigrants [143] #indianmigrants,#migration [134] visa,#contestalert [127] #prvisa,#yaxis [126] #immigration,#prvisa [124] #migration,#migrateabroad [116] yaxis,visit [102] #migrateabroad,#overseascareer [81] #visa,yaxis Top Word Pairs in Tweet in G5:
[61] #daca,recipient [55] dear,twitter [55] twitter,helping [55] helping,friend [55] friend,kim [55] kim,#daca [55] recipient,california [55] california,raise [55] raise,apply [55] apply,advanced Top Word Pairs in Tweet in G6:
[39] aux,français [36] rendre,aux [36] français,leur [36] leur,argent [27] #lesjeunesavecmarine,l'#herault [27] l'#herault,sont [27] sont,venus [27] venus,porter [27] porter,solutions [27] solutions,#marine Top Word Pairs in Tweet in G7:
[47] #immigration,quelle [47] quelle,famille [47] famille,serait [47] serait,capable [47] capable,laisser [47] laisser,ses [47] ses,enfants [47] enfants,dormir [47] dormir,dehors [47] dehors,accueillir Top Word Pairs in Tweet in G8:
[64] #sécurité,#police [44] sécurité,intérieure [44] intérieure,grand [44] grand,défi [39] #justice,#terrorisme [37] mon,interview [37] interview,tour [37] tour,horizon [37] horizon,lyonmag [37] lyonmag,ce Top Word Pairs in Tweet in G9:
[85] étudiants,africains [55] bon,#ottawa [55] #ottawa,refuse [55] refuse,étudiants [55] africains,grand [55] grand,monde [55] monde,déchiré [55] déchiré,sa [55] sa,chemise [55] chemise,dire Top Word Pairs in Tweet in G10:
[66] #ciotti,#pécresse [66] #pécresse,portent [66] portent,discours [66] discours,#droite [66] #droite,dure [66] dure,proche [66] proche,celui [66] celui,#zemmour [66] #zemmour,#lepen [66] #lepen,l'immigration Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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 G10: