The graph represents a network of 456 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, 30 January 2022 at 16:42 UTC.
The requested start date was Saturday, 29 January 2022 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, 21-hour, 16-minute period from Saturday, 15 January 2022 at 01:09 UTC to Friday, 28 January 2022 at 22:25 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 : 456
Unique Edges : 364
Edges With Duplicates : 649
Total Edges : 1013
Number of Edge Types : 5
Mentions : 251
Replies to : 73
Tweet : 91
Retweet : 223
MentionsInRetweet : 375
Self-Loops : 99
Reciprocated Vertex Pair Ratio : 0.00716845878136201
Reciprocated Edge Ratio : 0.0142348754448399
Connected Components : 79
Single-Vertex Connected Components : 30
Maximum Vertices in a Connected Component : 182
Maximum Edges in a Connected Component : 558
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.870748
Graph Density : 0.00270869481395797
Modularity : 0.514605
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 456 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, 30 January 2022 at 16:42 UTC.
The requested start date was Saturday, 29 January 2022 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, 21-hour, 16-minute period from Saturday, 15 January 2022 at 01:09 UTC to Friday, 28 January 2022 at 22:25 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:
[35] #farmworkers,michigan [35] michigan,work [35] work,10 [35] 10,degree [35] degree,weather [35] weather,feed [35] feed,baby [35] baby,cows [35] cows,nation [35] nation,milk Top Word Pairs in Tweet in G1:
[35] #farmworkers,michigan [35] michigan,work [35] work,10 [35] 10,degree [35] degree,weather [35] weather,feed [35] feed,baby [35] baby,cows [35] cows,nation [35] nation,milk Top Word Pairs in Tweet in G2:
[20] housedemocrats,senatedems [14] senatedems,americans [14] americans,first [14] first,comes [14] comes,#immigrationreform [14] #immigrationreform,million [13] an_americant,housedemocrats [8] potus,vp [7] human,personality [6] vp,housedemocrats Top Word Pairs in Tweet in G3:
[10] immigration,fairness [7] #immigrationmatters,#immigrationreform [5] #immigrantsareessential,#immigrationmatters [5] fairness,america [5] america,competes [5] competes,act [5] act,2022 [5] 2022,national [5] national,defense [5] defense,authorization Top Word Pairs in Tweet in G4:
[4] housedemocrats,senatedems [3] spouses,citizens [3] senamyklobuchar,senatorbaldwin [3] senatorbaldwin,need [3] need,#uscitizenspouses [3] #uscitizenspouses,#waiverequality [3] #waiverequality,#immigrationreform [3] reichlinmelnick,right [3] right,reichlinmelnick [3] reichlinmelnick,time Top Word Pairs in Tweet in G5:
[3] #votingrights,#immigrationreform [2] need,#immigrationreform [2] #immigrationreform,murders [2] murders,name [2] #immigrants,#immigrationreform [2] crisis,#immigrationreform [2] #immigrationreform,#immigration [2] immigration,reform Top Word Pairs in Tweet in G6:
[15] senategop,housegop [11] border,crisis [11] crisis,central [11] central,american [11] american,humanitarian [11] humanitarian,crisis [11] crisis,senategop [11] housegop,come [11] come,table [11] table,work Top Word Pairs in Tweet in G7:
[21] #daca,#immigration [18] #immigration,#immigrationreform [17] #immigrationreform,#joebiden [15] #joebiden,#elsalvador [14] #elsalvador,#mexico [14] #mexico,#venezuela [14] #venezuela,#guatemala [14] #guatemala,#haiti [14] #haiti,#asylum [14] #asylum,#tps Top Word Pairs in Tweet in G8:
[18] artwork,published [18] published,today [18] today,latimes [18] latimes,sunday [18] sunday,paper [18] paper,dedicated [18] dedicated,fellow [18] fellow,#parentsinstem [18] #parentsinstem,#healthcareworkers [18] #healthcareworkers,see Top Word Pairs in Tweet in G9:
[22] united,states [22] path,citizenship [20] polls_unbiased,united [12] states,deport [12] deport,immigrants [12] immigrants,living [12] living,illegally [12] illegally,offer [12] offer,path [12] citizenship,follow Top Word Pairs in Tweet in G10:
[7] ensure,hits [7] hits,zero [7] zero,india [7] india,more [7] more,enrollment [7] enrollment,#india [7] #india,uscis [7] uscis,uscisdirector [7] uscisdirector,usandindia [7] usandindia,2024 Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: