The graph represents a network of 9,206 Twitter users whose tweets in the requested range contained "(immigrant OR immigration) (COVID OR corona OR virus OR pandemic OR ill OR illness OR health OR doctor OR nurse)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 12 October 2022 at 23:01 UTC.
The requested start date was Wednesday, 12 October 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 8-day, 3-hour, 55-minute period from Monday, 03 October 2022 at 20:02 UTC to Tuesday, 11 October 2022 at 23:57 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 : 9206
Unique Edges : 5253
Edges With Duplicates : 10507
Total Edges : 15760
Number of Edge Types : 5
Retweet : 4963
MentionsInRetweet : 6372
Replies to : 1528
Mentions : 1921
Tweet : 976
Self-Loops : 1014
Reciprocated Vertex Pair Ratio : 0.00812579147319544
Reciprocated Edge Ratio : 0.0161205903904533
Connected Components : 1425
Single-Vertex Connected Components : 427
Maximum Vertices in a Connected Component : 2354
Maximum Edges in a Connected Component : 4836
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 7.371794
Graph Density : 0.000112731429553241
Modularity : 0.612528
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 9,206 Twitter users whose tweets in the requested range contained "(immigrant OR immigration) (COVID OR corona OR virus OR pandemic OR ill OR illness OR health OR doctor OR nurse)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 12 October 2022 at 23:01 UTC.
The requested start date was Wednesday, 12 October 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 8-day, 3-hour, 55-minute period from Monday, 03 October 2022 at 20:02 UTC to Tuesday, 11 October 2022 at 23:57 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 : (immigrant OR immigration) (COVID OR corona OR virus OR pandemic OR ill OR illness OR health OR doctor OR nurse)
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:
[767] greg,abbott [766] law,insufficient [766] oversight,ensure [766] federal,oversight [766] used,loopholes [766] loopholes,federal [766] federal,law [766] gov,greg [766] abbott,used [766] texas,gov Top Word Pairs in Tweet in G1:
[660] insufficient,federal [660] federal,law [660] federal,oversight [660] used,loopholes [660] abbott,used [660] ensure,billion [660] greg,abbott [660] oversight,ensure [660] gov,greg [660] law,insufficient Top Word Pairs in Tweet in G2:
[384] trump,heavily [384] heavily,reduce [384] reduce,immigration [384] need,reminded [384] well,before [384] reminded,trump [384] lines,well [384] immigration,lines [384] apparently,need [383] 17cshyteposter,apparently Top Word Pairs in Tweet in G3:
[55] health,care [38] covid,19 [38] mental,health [12] immigration,status [11] immigration,health [11] illegal,immigration [9] read,more [8] immigrant,became [8] meet,iranian [8] public,health Top Word Pairs in Tweet in G4:
[186] broken,immigration [186] immigration,system [185] visa,backlogs [185] family,visa [184] congress,clear [184] clear,family [184] system,recapture [179] begin,fixing [179] fixing,broken [177] backlogs,begin Top Word Pairs in Tweet in G5:
[36] world,moratorium [36] clown,world [35] moratorium,immigration [35] immigration,until [33] foreign,criminal [33] until,foreign [29] identified,detained [29] criminal,identified [28] someone,else's [28] continent,origin Top Word Pairs in Tweet in G6:
[295] migrant,flights [261] orange,county [260] health,human [260] secretive,migrant [260] human,services [260] landed,orange [260] behind,secretive [260] department,health [260] thread,biden's [260] biden's,department Top Word Pairs in Tweet in G7:
[113] drug,addiction [84] immigration,crisis [83] created,immigration [83] crisis,mark [83] mark,tseng [83] century,intervention [83] putterman,medium [83] tseng,putterman [83] intervention,created [80] corridors,methods Top Word Pairs in Tweet in G8:
[104] join,dr_raulruiz [104] progress,democrats [104] dr_raulruiz,#hispanicheritagemonth [104] #hispanicheritagemonth,celebrate [104] tonight,join [104] celebrate,progress [104] democrats,delivered [104] jobs,health [104] delivered,jobs [103] teampelosi,tonight Top Word Pairs in Tweet in G9:
[81] focus,needs [81] swartz,believes [81] communities,deserve [81] lawmakers,acknowledge [81] acknowledge,avoid [81] avoid,focus [81] needs,citizens [81] deserve,lawmakers [81] believes,communities [80] midwest_voter,swartz Top Word Pairs in Tweet in G10:
[4] illegal,immigration [2] weâ,re [2] over,million [2] health,care [2] non,affordable [2] more,people [2] million,use [2] realphillyp,joebiden [2] nappingnerd,realphillyp [2] record,inflation Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G7:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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: