The graph represents a network of 313 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 Saturday, 30 July 2022 at 16:17 UTC.
The requested start date was Saturday, 30 July 2022 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 13-day, 19-hour, 5-minute period from Saturday, 16 July 2022 at 00:09 UTC to Friday, 29 July 2022 at 19:15 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 : 313
Unique Edges : 226
Edges With Duplicates : 390
Total Edges : 616
Number of Edge Types : 5
Tweet : 89
Retweet : 130
MentionsInRetweet : 206
Replies to : 70
Mentions : 121
Self-Loops : 93
Reciprocated Vertex Pair Ratio : 0.00890207715133531
Reciprocated Edge Ratio : 0.0176470588235294
Connected Components : 57
Single-Vertex Connected Components : 29
Maximum Vertices in a Connected Component : 141
Maximum Edges in a Connected Component : 301
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 5.544515
Graph Density : 0.00348160891291882
Modularity : 0.539458
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 313 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 Saturday, 30 July 2022 at 16:17 UTC.
The requested start date was Saturday, 30 July 2022 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 13-day, 19-hour, 5-minute period from Saturday, 16 July 2022 at 00:09 UTC to Friday, 29 July 2022 at 19:15 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:
[43] undocumented,immigrants [42] crime,committed [42] committed,undocumented [42] immigrants,fleeing [42] fleeing,violence [42] violence,poverty [42] poverty,wanting [42] wanting,stay [42] stay,alive [41] #immigration,#immigrationreform Top Word Pairs in Tweet in G1:
[42] crime,committed [42] committed,undocumented [42] undocumented,immigrants [42] immigrants,fleeing [42] fleeing,violence [42] violence,poverty [42] poverty,wanting [42] wanting,stay [42] stay,alive [41] bmcarthur17,crime Top Word Pairs in Tweet in G2:
[7] use,without [7] without,senate [5] repzoelofgren,normajtorres [5] normajtorres,repgracemeng [5] repgracemeng,reploucorrea [5] reploucorrea,repespaillat [5] repespaillat,repchuygarcia [5] repchuygarcia,use [4] potus,joebiden [4] joebiden,executive Top Word Pairs in Tweet in G3:
[7] sask,party [7] party,controversial [7] controversial,past [7] past,family [7] family,immigration [7] #immigrationreform,#sask [7] #sk,#economy [7] #economy,#business [7] #business,#politics [7] #politics,#government Top Word Pairs in Tweet in G4:
[11] #immigration,#immigrationreform [10] #freedmen,#fba [8] tariqnasheed,another [8] another,one [8] one,caribbean [8] caribbean,sexually [8] sexually,assaulted [8] assaulted,12 [8] 12,year [8] year,old Top Word Pairs in Tweet in G5:
[9] inside,usa [8] 11m,living [7] living,inside [5] usa,without [4] border,11m [4] papers,#slavery [4] close,borders [4] stop,ilegal [4] legal,papers [4] sure,seems Top Word Pairs in Tweet in G6:
[12] before,august [12] august,recess [12] recess,anyone [12] anyone,surprised [12] surprised,dems [12] dems,waste [12] waste,important [12] important,months [12] months,before [12] before,midterms Top Word Pairs in Tweet in G7:
[7] support,rights [7] rights,citizens [6] citizens,america [5] immigration,reform [4] miamiherald,pbpost [4] 35,years [4] years,congress [4] congress,passed [4] passed,meaningful [4] meaningful,immigration Top Word Pairs in Tweet in G9:
[5] create,#immigrationreform [4] republicans,help [4] help,democrats [4] democrats,create [4] #immigrationreform,republicans [3] republicans,solutions [3] solutions,problems [3] problems,republicans [3] republicans,entire [3] entire,campaign Top Word Pairs in Tweet in G10:
[9] daca,recipients [9] recipients,part [9] part,community [9] community,thank [9] thank,contributions [9] contributions,make [9] make,day [9] day,day [9] day,lives [9] lives,source Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G8:
Top Replied-To in G9:
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 G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: