The graph represents a network of 5,099 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 Wednesday, 13 November 2019 at 03:32 UTC.
The requested start date was Monday, 11 November 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 2-day, 2-hour, 39-minute period from Friday, 08 November 2019 at 22:21 UTC to Monday, 11 November 2019 at 01:00 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 : 5099
Unique Edges : 5843
Edges With Duplicates : 1076
Total Edges : 6919
Number of Edge Types : 3
Tweet : 1123
Mentions : 5642
Replies to : 154
Self-Loops : 1123
Reciprocated Vertex Pair Ratio : 0.00735429306857878
Reciprocated Edge Ratio : 0.0146012045993794
Connected Components : 751
Single-Vertex Connected Components : 363
Maximum Vertices in a Connected Component : 3309
Maximum Edges in a Connected Component : 4771
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 7.508535
Graph Density : 0.00021077371842924
Modularity : 0.796432
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 5,099 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 Wednesday, 13 November 2019 at 03:32 UTC.
The requested start date was Monday, 11 November 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 2-day, 2-hour, 39-minute period from Friday, 08 November 2019 at 22:21 UTC to Monday, 11 November 2019 at 01:00 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[479] #tory,minister [474] clueless,#tory [474] minister,claiming [474] claiming,t [474] t,control [474] control,#immigration [474] #immigration,eu [474] eu,fact [474] fact,#migration [474] #migration,uk Top Word Pairs in Tweet in G1:
[262] pour,une [260] fameuse,carte [260] carte,paiement [260] paiement,pour [260] pour,demandeurs [260] demandeurs,d'asiles [260] d'asiles,entre [260] entre,service [260] service,aujourd'hui [260] aujourd'hui,pour Top Word Pairs in Tweet in G2:
[460] clueless,#tory [460] #tory,minister [460] minister,claiming [460] claiming,t [460] t,control [460] control,#immigration [460] #immigration,eu [460] eu,fact [460] fact,#migration [460] #migration,uk Top Word Pairs in Tweet in G3:
[9] https,t [9] t,co [8] #immigration,#attorney [6] know,more [6] #polqc,#immigration [6] united,states [5] u,s [5] find,out [5] #immigration,plan [5] #immigration,#visa Top Word Pairs in Tweet in G4:
[229] public,service [229] service,announcement [229] announcement,trump [229] trump,supporters [229] supporters,#sundaythoughts [229] #sundaythoughts,#immigration [229] #immigration,#resist [229] #resist,#trump [229] #trump,#1u [229] #1u,#tcot Top Word Pairs in Tweet in G5:
[218] #berniesanders,vows [218] vows,stop [218] stop,#deportations [218] #deportations,thousands [218] thousands,convicted [218] convicted,murderers [218] murderers,sex [218] sex,offenders [218] offenders,jumping [218] jumping,2 Top Word Pairs in Tweet in G6:
[138] #macron,source [138] source,pour [138] pour,financer [138] financer,lutte [138] lutte,dessinée [137] quotas,pêche [137] pêche,#quotas [137] #quotas,#immigration [137] #immigration,#macron [136] allanbarte,quotas Top Word Pairs in Tweet in G7:
[35] quotas,d'#immigration [33] ont,été [32] les,quotas [32] d'#immigration,ont [32] été,mis [32] mis,place [32] place,2008 [32] 2008,qu'y [32] qu'y,t [32] t,il Top Word Pairs in Tweet in G8:
[39] #blog,#essay [26] pensignal,#blog [25] christopher,oldcorn [24] #essay,#news [24] #news,#politics [24] #politics,#government [24] #government,#capitalism [24] #capitalism,#socialism [18] oldcorn,pensignal [17] #gop,#maga Top Word Pairs in Tweet in G9:
[19] avant,tout [17] avant,vous [17] vous,remettre [17] remettre,à [17] à,planche [17] planche,à [17] à,dessin [17] dessin,sjb_caq [17] sjb_caq,une [17] une,lecture Top Word Pairs in Tweet in G10:
[28] sur,l [27] l,#immigration [17] les,citoyens [17] citoyens,étrangers [15] plan,#immigration [14] implementing,e [14] e,verify [14] verify,make [14] make,florida [14] florida,leaders Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G7:
Top Replied-To in G8:
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: