The graph represents a network of 6,651 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, 03 January 2022 at 22:29 UTC.
The requested start date was Monday, 03 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 9-day, 12-hour, 2-minute period from Wednesday, 22 December 2021 at 09:51 UTC to Friday, 31 December 2021 at 21:54 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 : 6651
Unique Edges : 4086
Edges With Duplicates : 11425
Total Edges : 15511
Number of Edge Types : 5
Retweet : 4580
MentionsInRetweet : 5971
Tweet : 2283
Mentions : 2274
Replies to : 403
Self-Loops : 2416
Reciprocated Vertex Pair Ratio : 0.0192812172088143
Reciprocated Edge Ratio : 0.0378329687298932
Connected Components : 1206
Single-Vertex Connected Components : 751
Maximum Vertices in a Connected Component : 3517
Maximum Edges in a Connected Component : 9283
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.275309
Graph Density : 0.000175698606009837
Modularity : 0.505269
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6,651 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, 03 January 2022 at 22:29 UTC.
The requested start date was Monday, 03 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 9-day, 12-hour, 2-minute period from Wednesday, 22 December 2021 at 09:51 UTC to Friday, 31 December 2021 at 21:54 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:
[490] biden,administration [480] today,marks [480] marks,150th [480] 150th,deportation [480] deportation,flight [480] flight,#haiti [480] #haiti,year [480] year,very [480] very,shameful [480] shameful,milestone Top Word Pairs in Tweet in G1:
[49] #immigration,#canada [47] #immigration,#citizenship [41] #canada,#immigration [36] #canadavisa,#expressentry [35] #citizenship,#newjersey [35] #nonprofitorganization,#community [34] #newjersey,#nuevajersey [32] #immigration,#visa [31] #inmigracion,#ciudadania [31] #goals,#nonprofitorganization Top Word Pairs in Tweet in G2:
[472] today,marks [472] marks,150th [472] 150th,deportation [472] deportation,flight [472] flight,#haiti [472] #haiti,year [472] year,very [472] very,shameful [472] shameful,milestone [472] milestone,biden Top Word Pairs in Tweet in G3:
[216] #immigration,#visa [214] #yaxis,#indianmigrants [210] #quiz,#yaxisquiz [210] #yaxisquiz,#win [210] #win,#immigration [208] #indianmigrants,#migration [177] #migration,#migrateabroad [171] #contestalert,#quiz [156] visa,#contestalert [130] work,visa Top Word Pairs in Tweet in G4:
[55] #daca,folks [55] folks,deserve [55] deserve,protected [55] protected,fault [55] fault,children [55] children,living [55] living,legally [55] legally,facing [55] facing,deportation [54] sanjeev93882222,#daca Top Word Pairs in Tweet in G5:
[48] #immigration,constats [48] constats,solutions [48] solutions,#reconquete [48] #reconquete,zemmoureric [48] zemmoureric,#zemmourpourtous [47] ari268748566,#immigration [38] mlp_officiel,porte [38] porte,projet [38] projet,politique [38] politique,plus Top Word Pairs in Tweet in G6:
[236] somewhere,christmas [236] christmas,night [236] night,#migrants [236] #migrants,#immigration [236] #immigration,#immigrationmatters [236] #immigrationmatters,#refugees [236] #refugees,#refugeeswelcome [236] #refugeeswelcome,#refugeesneedhelp [235] rodriguezmonos,somewhere Top Word Pairs in Tweet in G7:
[50] ceux,ceux [50] ceux,parlent [50] parlent,#immigration [50] #immigration,ceux [50] ceux,proposent [50] proposent,solutions [50] solutions,concrètes [50] concrètes,#programmezemmour [45] #programmezemmour,#immigration [40] generationz_01,ceux Top Word Pairs in Tweet in G8:
[71] gather,#nochebuena [71] #nochebuena,quarantine [71] quarantine,due [71] due,#covid19 [71] #covid19,remind [71] remind,everyone [71] everyone,families [70] juansaaa,gather [30] december,7th [30] 7th,thousands Top Word Pairs in Tweet in G9:
[94] 12000,afghans [94] afghans,already [94] already,another [94] another,20000 [94] 20000,come [94] come,apparently [94] apparently,nearly [94] nearly,30000 [94] 30000,illegals [94] illegals,boats Top Word Pairs in Tweet in G10:
[156] years,constant [156] constant,struggle [156] struggle,last [156] last,week [156] week,wife [156] wife,became [156] became,permanent [156] permanent,residents [156] residents,#immigration [156] #immigration,process Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G9:
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:
Top Tweeters in G2:
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Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: