The graph represents a network of 6,849 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, 10 August 2020 at 19:46 UTC.
The requested start date was Monday, 10 August 2020 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 5-day, 7-hour, 42-minute period from Tuesday, 04 August 2020 at 16:18 UTC to Monday, 10 August 2020 at 00:00 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 : 6849
Unique Edges : 4900
Edges With Duplicates : 12704
Total Edges : 17604
Number of Edge Types : 5
Tweet : 1256
Retweet : 5686
MentionsInRetweet : 7937
Mentions : 2292
Replies to : 433
Self-Loops : 1356
Reciprocated Vertex Pair Ratio : 0.0179878686467266
Reciprocated Edge Ratio : 0.0353400452023834
Connected Components : 935
Single-Vertex Connected Components : 570
Maximum Vertices in a Connected Component : 4169
Maximum Edges in a Connected Component : 12702
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.337425
Graph Density : 0.000207539336529106
Modularity : 0.499946
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 6,849 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, 10 August 2020 at 19:46 UTC.
The requested start date was Monday, 10 August 2020 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 5-day, 7-hour, 42-minute period from Tuesday, 04 August 2020 at 16:18 UTC to Monday, 10 August 2020 at 00:00 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:
[1027] vérité,eric [1027] eric,#zemmour [1027] #zemmour,autant [1027] autant,conspué [1027] conspué,qu [1027] qu,ose [1027] ose,#islam [1027] #islam,encore [1027] encore,#immigration [1027] #immigration,dire Top Word Pairs in Tweet in G1:
[751] vérité,eric [751] eric,#zemmour [751] #zemmour,autant [751] autant,conspué [751] conspué,qu [751] qu,ose [751] ose,#islam [751] #islam,encore [751] encore,#immigration [751] #immigration,dire Top Word Pairs in Tweet in G2:
[336] 90,personnes [336] personnes,condamnés [336] condamnés,fusillades [336] fusillades,soupçonnées [336] soupçonnées,avoir [336] avoir,participé [336] participé,avaient [336] avaient,origine [336] origine,étrangère [336] étrangère,#suède Top Word Pairs in Tweet in G3:
[323] #immigration,#visa [304] #win,#immigration [299] #yaxisquiz,#win [290] #visa,#yaxis [271] #quiz,#yaxisquiz [265] #contestalert,#quiz [255] #canadapnp,#canadaexpressentry [231] #yaxis,#canadapnp [161] yaxis,#contestalert [153] #canadaimmigration,#canadapr Top Word Pairs in Tweet in G4:
[20] #canada,#immigration [19] #immigration,#visa [16] #immigration,#canada [14] united,states [13] read,more [13] #immigration,#learningenglish [13] #learningenglish,#healthy [13] #healthy,#reading [12] #immigration,#immigrationlawyer [12] covid,19 Top Word Pairs in Tweet in G5:
[267] personnes,âgées [267] #laracailletue,#immigration [266] n'y,dire [266] dire,#racaille [266] #racaille,beaucoup [266] beaucoup,courage [266] courage,attaquer [266] attaquer,personnes [266] âgées,#laracailletue [265] alaincassetete,n'y Top Word Pairs in Tweet in G6:
[221] cnews,amezianerose [221] amezianerose,voit [221] voit,aucun [221] aucun,lien [221] lien,#immigration [221] #immigration,#ensauvagement [221] #ensauvagement,seuls [221] seuls,20 [221] 20,prisonniers [221] prisonniers,sont Top Word Pairs in Tweet in G7:
[68] #s386,#hr1044 [66] #hr1044,#yess386 [63] senatordurbin,bring [63] bring,notice [63] notice,well [63] well,meaning [63] meaning,folks [63] folks,roozbehp [63] roozbehp,saharhoosh [62] common,manâ Top Word Pairs in Tweet in G8:
[151] 000,year [151] year,alone [151] alone,remember [151] remember,conservatives [151] conservatives,told [151] told,#immigration [136] #immigration,reduced [64] gt,gt [59] borisjohnson,000 [53] nigel_farage,000 Top Word Pairs in Tweet in G9:
[47] official,joe [47] joe,arpaio [47] arpaio,loses [47] loses,election [47] election,public [47] public,office [47] office,again [47] again,#immigration [46] juansaaa,official [24] joebidenâ,plan Top Word Pairs in Tweet in G10:
[98] wasn,sure [98] sure,expect [98] expect,awesome [98] awesome,#anamericanpickle [98] #anamericanpickle,hbo [98] hbo,max [98] max,seth [98] seth,rogen [98] rogen,thank [98] thank,making Top Replied-To in Entire Graph:
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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: