The graph represents a network of 6,044 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, 23 May 2022 at 22:28 UTC.
The requested start date was Monday, 23 May 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, 7-hour, 52-minute period from Sunday, 15 May 2022 at 14:49 UTC to Sunday, 22 May 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 : 6044
Unique Edges : 4133
Edges With Duplicates : 13232
Total Edges : 17365
Number of Edge Types : 5
Tweet : 2210
Retweet : 4333
MentionsInRetweet : 7563
Mentions : 2696
Replies to : 563
Self-Loops : 2340
Reciprocated Vertex Pair Ratio : 0.0222684085510689
Reciprocated Edge Ratio : 0.0435666569851873
Connected Components : 1359
Single-Vertex Connected Components : 812
Maximum Vertices in a Connected Component : 2643
Maximum Edges in a Connected Component : 7424
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.696297
Graph Density : 0.000188534124457492
Modularity : 0.409164
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,044 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, 23 May 2022 at 22:28 UTC.
The requested start date was Monday, 23 May 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, 7-hour, 52-minute period from Sunday, 15 May 2022 at 14:49 UTC to Sunday, 22 May 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:
[973] gouvernement,#trudeau [928] milliards,ds [837] ds,budget [793] budget,2022 [736] 2022,pr [703] #trudeau,mis [676] mis,milliards [665] pr,moderniser [590] moderniser,système [519] système,traitement Top Word Pairs in Tweet in G1:
[58] #canada,#immigration [30] express,entry [30] #immigration,#canadavisa [26] visit,website [24] title,42 [23] #immigration,#visa [23] #immigration,#rudenimmanado [22] #canadaimmigration,#canada [22] #imigrasi,#immigration [21] #rudenimmanado,#rudenimmanadopastiwbbm Top Word Pairs in Tweet in G2:
[115] #allemagne,lycée [115] lycée,#bavière [115] #bavière,directeur [115] directeur,interdit [115] interdit,aux [115] aux,#filles [115] #filles,porter [115] porter,#robes [115] #robes,courtes [115] courtes,après Top Word Pairs in Tweet in G3:
[108] #prvisa,#yaxis [108] #yaxis,#indianmigrants [107] #contestalert,#quiz [107] #quiz,#yaxisquiz [107] #yaxisquiz,#win [107] #win,#immigration [106] #indianmigrants,#migration [105] work,visa [103] yaxis,work [98] #migration,#migrateabroad Top Word Pairs in Tweet in G4:
[61] documented,dreamers [61] dreamers,capitol [61] capitol,hill [61] hill,week [61] week,learn [61] learn,unique [61] unique,#immigration [61] #immigration,problems [61] problems,fix [60] nfapresearch,documented Top Word Pairs in Tweet in G5:
[109] rwanda,flights [109] flights,until [109] until,6th [109] 6th,june [109] june,anyone [109] anyone,surprised [109] surprised,few [109] few,more [109] more,thousand [109] thousand,arriving Top Word Pairs in Tweet in G6:
[46] voici,communiqué [46] communiqué,14 [46] 14,candidats [46] candidats,reconquete_off [46] reconquete_off,concernant [46] concernant,faux [46] faux,mineur [46] mineur,isolé [46] isolé,congolais [46] congolais,condamné Top Word Pairs in Tweet in G7:
[973] gouvernement,#trudeau [928] milliards,ds [837] ds,budget [793] budget,2022 [736] 2022,pr [703] #trudeau,mis [676] mis,milliards [665] pr,moderniser [590] moderniser,système [519] système,traitement Top Word Pairs in Tweet in G8:
[123] geertwilderspvv,allowed [123] allowed,see [123] see,#jihad [123] #jihad,capital [123] capital,#europe [123] #europe,#brussels [123] #brussels,weekly [123] weekly,market [123] market,brussels [121] fdw_vb,geertwilderspvv Top Word Pairs in Tweet in G9:
[6] #unitedkingdom,#pritipatel [6] #deportation,#immigration [5] #tuesday,#tuesdaybookblog [5] #tuesdaybookblog,#tuesdayblue [5] #tuesdayblue,#homeoffice [5] #homeoffice,#deportation [5] #immigration,#removal [5] #removal,#flights [5] #flights,#charterflights [5] #charterflights,#unitedkingdom Top Word Pairs in Tweet in G10:
[29] many,struggling [29] struggling,pay [29] pay,fee [29] fee,five [29] five,times [29] times,higher [29] higher,administrative [29] administrative,cost [29] cost,face [29] face,destitution Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: