The graph represents a network of 1,305 Twitter users whose tweets in the requested range contained "#ImmigrationReform", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 07 March 2021 at 17:04 UTC.
The requested start date was Saturday, 06 March 2021 at 01:01 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 13-day, 22-hour, 12-minute period from Saturday, 20 February 2021 at 02:40 UTC to Saturday, 06 March 2021 at 00:52 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 : 1305
Unique Edges : 1422
Edges With Duplicates : 1754
Total Edges : 3176
Number of Edge Types : 5
Mentions : 490
Tweet : 368
Replies to : 103
Retweet : 691
MentionsInRetweet : 1524
Self-Loops : 390
Reciprocated Vertex Pair Ratio : 0.00622083981337481
Reciprocated Edge Ratio : 0.0123647604327666
Connected Components : 295
Single-Vertex Connected Components : 166
Maximum Vertices in a Connected Component : 641
Maximum Edges in a Connected Component : 2116
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.78817
Graph Density : 0.00114061067625696
Modularity : 0.561294
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 1,305 Twitter users whose tweets in the requested range contained "#ImmigrationReform", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 07 March 2021 at 17:04 UTC.
The requested start date was Saturday, 06 March 2021 at 01:01 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 13-day, 22-hour, 12-minute period from Saturday, 20 February 2021 at 02:40 UTC to Saturday, 06 March 2021 at 00:52 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 : #ImmigrationReform
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:
[108] potus,vp [107] according,latimes [107] latimes,27 [107] 27,ppl [107] ppl,packed [107] packed,suv [107] suv,being [107] being,transported [107] transported,near [107] near,border Top Word Pairs in Tweet in G1:
[108] potus,vp [97] vp,senatedems [97] senatedems,housedemocrats [81] enough,enough [81] enough,potus [81] housedemocrats,put [81] put,political [81] political,game [81] game,legal [81] legal,immigration Top Word Pairs in Tweet in G2:
[27] immigration,reform [18] house,fire [18] fire,invite [18] invite,people [18] people,come [18] come,live [18] live,immigration [18] reform,important [18] important,let's [18] let's,see Top Word Pairs in Tweet in G3:
[107] according,latimes [107] latimes,27 [107] 27,ppl [107] ppl,packed [107] packed,suv [107] suv,being [107] being,transported [107] transported,near [107] near,border [107] border,crashed Top Word Pairs in Tweet in G4:
[5] sentoomey,senbobcasey [5] senbobcasey,repmeuser [5] joebiden's,#immigrationreform [5] #immigrationreform,raises [5] raises,eb [5] eb,#eb1 [5] #eb1,#eb2 [5] #eb2,etc [5] etc,#visa [5] #visa,cap Top Word Pairs in Tweet in G5:
[3] immigrant,success [3] success,story [3] story,core [3] core,element [3] element,future [3] future,immigration [3] immigration,policies [3] policies,immigrant [3] immigrant,story [2] faubush,realdonaldtrump Top Word Pairs in Tweet in G6:
[3] exactly,need [3] need,senatedems [3] senatedems,kill [3] kill,filibuster [3] filibuster,finally [3] finally,pass [3] pass,#immigrationreform [3] #immigrationreform,time [3] linda,brandmiller [2] skiefer11,exactly Top Word Pairs in Tweet in G7:
[57] united,states [57] path,citizenship [51] polls_unbiased,united [32] follow,polls_unbiased [32] polls_unbiased,more [32] more,polls [29] states,make [29] make,path [29] citizenship,easier [29] easier,harder Top Word Pairs in Tweet in G8:
[24] first,things [24] things,first [24] first,#immigrationreform [23] bmcarthur17,first Top Word Pairs in Tweet in G9:
[11] time,help [10] asking,senatorhassan [10] senatorhassan,senatorshaheen [10] senatorshaheen,support [10] support,immigration [10] immigration,reform [10] reform,time [10] help,those [10] those,help [10] help,build Top Word Pairs in Tweet in G10:
[7] haveaconcern,michellemalkin [7] michellemalkin,grindingdude [7] grindingdude,knkcattle [7] knkcattle,pkellyhardwa822 [7] pkellyhardwa822,mychalmassie [7] mychalmassie,fiverights [7] fiverights,rhowardbrowne [6] goldbaron08,haveaconcern [6] rhowardbrowne,jackbone Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: