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 Tuesday, 26 March 2019 at 13:50 UTC.
The requested start date was Tuesday, 26 March 2019 at 00:01 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, 5-hour, 58-minute period from Friday, 22 March 2019 at 15:26 UTC to Monday, 25 March 2019 at 21:24 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 : 6077
Edges With Duplicates : 1672
Total Edges : 7749
Number of Edge Types : 3
Tweet : 1292
Mentions : 6272
Replies to : 185
Self-Loops : 1292
Reciprocated Vertex Pair Ratio : 0.0153007386563489
Reciprocated Edge Ratio : 0.0301403083318898
Connected Components : 969
Single-Vertex Connected Components : 505
Maximum Vertices in a Connected Component : 2667
Maximum Edges in a Connected Component : 4846
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.580291
Graph Density : 0.000230136871841548
Modularity : 0.749044
NodeXL Version : 1.0.1.409
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[360] flight,attendant [295] u,s [234] emolclause,breaking [216] attendant,daca [208] safe,fly [208] fly,mexico [206] airline,assured [206] assured,flight [206] daca,d [206] d,safe Top Word Pairs in Tweet in G1:
[20] green,card [15] u,s [15] immigration,attorney [13] investor,visa [10] don,t [10] united,states [10] immigration,policy [10] immigration,lawyer [10] marriage,greencard [9] immigration,immigrants Top Word Pairs in Tweet in G2:
[107] trump,gop [106] smartdissent,database [106] database,450 [106] 450,actions [106] actions,trump [106] gop,sorted [106] sorted,topic [106] topic,pages [106] pages,education [106] education,healthcare Top Word Pairs in Tweet in G3:
[299] flight,attendant [204] airline,assured [204] assured,flight [204] attendant,daca [204] daca,d [204] d,safe [204] safe,fly [204] fly,mexico [204] mexico,returned [204] returned,ice Top Word Pairs in Tweet in G4:
[227] emolclause,breaking [151] dhs,ice [137] breaking,same [137] same,secnielsen's [137] secnielsen's,dhs [137] ice,responsible [137] responsible,evil [137] evil,familyseparation [137] familyseparation,policy [137] policy,now Top Word Pairs in Tweet in G5:
[114] seine,st [114] st,denis [114] denis,antisémitisme [114] antisémitisme,homophobie [114] homophobie,femmes [114] femmes,voilées [114] voilées,armes [114] armes,guerre [114] guerre,trouvées [114] trouvées,lycéen Top Word Pairs in Tweet in G6:
[129] david,watkins [129] watkins,told [129] told,wife [129] wife,released [129] released,ice [129] ice,called [129] called,crying [129] crying,come [128] byjenemily,david [29] flight,attendant Top Word Pairs in Tweet in G7:
[78] au,québec [74] sur,l [67] cafouillage,au [67] québec,sur [67] l,accueil [67] accueil,des [67] des,étrangers [67] étrangers,québec [67] québec,continue [67] continue,faire Top Word Pairs in Tweet in G8:
[66] immigration,judges [64] new,immigration [63] eoir,swore [63] swore,31 [63] 31,new [63] judges,three [63] three,arguably [63] arguably,private [63] private,bar [63] bar,one Top Word Pairs in Tweet in G9:
[102] u,s [51] another,u [51] s,citizen [51] citizen,dead [51] dead,bc [51] bc,illegalalien [51] illegalalien,entered [51] entered,u [51] s,illegally [51] illegally,illegals Top Word Pairs in Tweet in G10:
[56] islam,islamisation [51] islamisation,migrants [48] migrants,immigration [31] alex451618,bng2617 [28] bataille,verdun [28] verdun,n [28] n,apparaît [28] apparaît,plus [28] plus,dans [28] dans,les Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
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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 G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: