The graph represents a network of 5,009 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 Thursday, 05 December 2019 at 04:17 UTC.
The requested start date was Monday, 02 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 3-day, 3-hour, 34-minute period from Thursday, 28 November 2019 at 21:24 UTC to Monday, 02 December 2019 at 00:58 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 : 5009
Unique Edges : 5830
Edges With Duplicates : 818
Total Edges : 6648
Number of Edge Types : 3
Mentions : 5728
Replies to : 147
Tweet : 773
Self-Loops : 773
Reciprocated Vertex Pair Ratio : 0.0066534795900018
Reciprocated Edge Ratio : 0.0132190067881386
Connected Components : 610
Single-Vertex Connected Components : 317
Maximum Vertices in a Connected Component : 3532
Maximum Edges in a Connected Component : 4851
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 5.018397
Graph Density : 0.000223160611219294
Modularity : 0.80844
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 5,009 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 Thursday, 05 December 2019 at 04:17 UTC.
The requested start date was Monday, 02 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 3-day, 3-hour, 34-minute period from Thursday, 28 November 2019 at 21:24 UTC to Monday, 02 December 2019 at 00:58 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:
[645] urge,both [645] both,reconsider [645] reconsider,dangerous [645] dangerous,unlawful [645] unlawful,course [645] course,action [645] action,#agbarr [645] #agbarr,denounced [641] epochtimes,urge [621] denounced,#oregon Top Word Pairs in Tweet in G1:
[637] urge,both [637] both,reconsider [637] reconsider,dangerous [637] dangerous,unlawful [637] unlawful,course [637] course,action [637] action,#agbarr [637] #agbarr,denounced [633] epochtimes,urge [613] denounced,#oregon Top Word Pairs in Tweet in G2:
[468] lieu,relancer [468] relancer,démographie [468] démographie,nationale [468] nationale,ces [468] ces,fous [468] fous,veulent [468] veulent,vider [468] vider,afrique [468] afrique,sa [468] sa,population Top Word Pairs in Tweet in G3:
[8] #canada,#immigration [8] #immigration,#brexit [6] #immigration,#immigrants [6] #immigration,#canada [6] read,more [5] call,91 [5] apply,canada [5] #immigration,#ice [5] eb5,visa [5] visa,program Top Word Pairs in Tweet in G4:
[202] nephew,ideas [202] ideas,immigration [202] immigration,force [202] force,century [202] century,ago [202] ago,family [202] family,wiped [202] wiped,stephen [201] millercrime,nephew [201] stephen,mil Top Word Pairs in Tweet in G5:
[269] jean,paul [269] paul,#delevoye [269] #delevoye,fait [269] fait,trucider [269] trucider,chez [269] chez,#cnews [269] #cnews,par [269] par,politologue [269] politologue,guillaume [269] guillaume,bigot Top Word Pairs in Tweet in G6:
[17] priorités,projet [17] projet,d'#objectiffrance [17] d'#objectiffrance,l'#immigration [17] l'#immigration,conditionner [17] conditionner,l'immigration [17] l'immigration,capacités [17] capacités,d'accueil [16] pensez,printemps [16] printemps,comme [16] comme,dirait Top Word Pairs in Tweet in G7:
[46] #blog,#essay [39] stabbing,raping [39] raping,self [39] self,detonating [39] detonating,child [39] child,abusing [39] abusing,types [39] types,housedemocrats [39] housedemocrats,senategop [38] termc1,stabbing Top Word Pairs in Tweet in G8:
[127] open,borders [127] borders,lobbying [127] lobbying,group [127] group,partially [127] partially,funded [127] funded,billionaire [127] billionaire,george [127] george,#soros [127] #soros,need [127] need,abolish Top Word Pairs in Tweet in G9:
[67] article,loi [66] bonjour,stanguerini [66] stanguerini,souvenez [66] souvenez,article [66] loi,asile [66] asile,#immigration [66] #immigration,voté [66] voté,par [66] par,enmarchefr [66] enmarchefr,rnational_off Top Word Pairs in Tweet in G10:
[77] sick,tired [77] tired,being [77] being,talked [77] talked,numbers [77] numbers,spreadsheet [77] spreadsheet,actually [72] actually,people [72] people,loved [70] inlimbobrexit,sick [70] loved,fam Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
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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: