The graph represents a network of 5,724 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, 28 November 2022 at 23:22 UTC.
The requested start date was Monday, 28 November 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, 6-hour, 1-minute period from Tuesday, 22 November 2022 at 18:53 UTC to Monday, 28 November 2022 at 00:54 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 : 5724
Unique Edges : 3133
Edges With Duplicates : 12625
Total Edges : 15758
Number of Edge Types : 5
Retweet : 5448
MentionsInRetweet : 6791
Replies to : 436
Tweet : 1482
Mentions : 1601
Self-Loops : 1561
Reciprocated Vertex Pair Ratio : 0.0104290822407628
Reciprocated Edge Ratio : 0.0206428782070186
Connected Components : 972
Single-Vertex Connected Components : 625
Maximum Vertices in a Connected Component : 3416
Maximum Edges in a Connected Component : 11363
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.074776
Graph Density : 0.000207030539782527
Modularity : 0.403457
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,724 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, 28 November 2022 at 23:22 UTC.
The requested start date was Monday, 28 November 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, 6-hour, 1-minute period from Tuesday, 22 November 2022 at 18:53 UTC to Monday, 28 November 2022 at 00:54 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:
[702] sénégal,#immigration [702] palais,sénégal [702] crack,gagné [702] france,dealers [702] gagné,france [702] construisent,palais [702] l'argent,crack [702] #immigration,#senegal [702] dealers,construisent [701] #senegal,#fran Top Word Pairs in Tweet in G1:
[543] gagné,france [543] france,dealers [543] palais,sénégal [543] crack,gagné [543] construisent,palais [543] dealers,construisent [543] l'argent,crack [543] sénégal,#immigration [543] #immigration,#senegal [542] #senegal,#fran Top Word Pairs in Tweet in G2:
[34] #canada,#immigration [32] #usa,#love [28] #immigration,#holiday [27] #miami,#christmas [27] #florida,#fashion [27] #visa,#gift [27] #venezuela,#giftideas [26] #immigration,#canada [24] #immigration,#visa [24] #personalinjury,#wills Top Word Pairs in Tweet in G3:
[110] #france,touché [110] expulsables,230 [110] dont,#france [110] expulsés,expulsables [110] flop,fin [110] acceptés,#europe [110] coulé,mr [110] #oceanviking,flop [110] 230,acceptés [110] #europe,dont Top Word Pairs in Tweet in G4:
[43] year,close [43] total,immigration [43] close,million [43] immigration,past [43] million,ons [43] past,year [43] suellabraverman,#immigration [43] 600,000 [43] ons,600 [39] rishisunak,suellabraverman Top Word Pairs in Tweet in G5:
[48] ce,vendredi [44] jean,messiha [43] messiha,invité [43] institut,apollon [43] président,institut [43] novembre,22h [43] invité,débattre [43] débattre,cnews [43] apollon,jean [43] cnews,ce Top Word Pairs in Tweet in G6:
[84] guerre,civile [73] bord,guerre [73] mayotte,bord [70] civile,ce [70] demain,#immigration [70] france,métropolitaine [70] attend,france [70] métropolitaine,demain [70] ce,attend [70] #immigration,#violences Top Word Pairs in Tweet in G7:
[66] #prvisa,#yaxis [65] #yaxis,#indianmigrants [64] #win,#immigration [64] #yaxisquiz,#win [64] #indianmigrants,#migration [64] #quiz,#yaxisquiz [64] #contestalert,#quiz [56] uk,#contestalert [55] #visa,#prvisa [55] #immigration,#visa Top Word Pairs in Tweet in G8:
[116] #ngos,start [116] #immigration,industry [116] reaching,record [116] highs,#eu [116] immigration,europe [116] europe,reaching [116] record,highs [116] obeying,#immigration [116] #eu,stop [116] industry,#ngos Top Word Pairs in Tweet in G9:
[94] #immigration,#immigrantvisabacklog_islamabad [93] ivapplicantsus,#immigration [88] #immigrantvisabacklog_islamabad,#familyaffair [87] usembislamabad,ivapplicantsus [76] #familyaffair,#familysecrets [72] #familysecrets,hrw [56] ahmadkamal_08,usembislamabad [43] hrw,#unbeliev [23] #unbelievable,#unbelievableloss [23] hrw,#unbelievable Top Word Pairs in Tweet in G10:
[41] aux,urgences [40] situation,irrégulière [39] par,jordanien [39] jordanien,situation [39] urgences,hôpital [39] viol,vol [39] vol,aux [39] 13,fausses [39] cochin,paris [39] hôpital,cochin 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 G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: