The graph represents a network of 617 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, 23 April 2022 at 16:17 UTC.
The requested start date was Saturday, 23 April 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, 11-hour, 52-minute period from Saturday, 09 April 2022 at 04:53 UTC to Friday, 22 April 2022 at 16:46 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 : 617
Unique Edges : 413
Edges With Duplicates : 842
Total Edges : 1255
Number of Edge Types : 5
Tweet : 138
Replies to : 168
Mentions : 219
Retweet : 302
MentionsInRetweet : 428
Self-Loops : 142
Reciprocated Vertex Pair Ratio : 0.00579710144927536
Reciprocated Edge Ratio : 0.0115273775216138
Connected Components : 99
Single-Vertex Connected Components : 45
Maximum Vertices in a Connected Component : 212
Maximum Edges in a Connected Component : 544
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.351854
Graph Density : 0.00182596981624534
Modularity : 0.535339
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 617 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, 23 April 2022 at 16:17 UTC.
The requested start date was Saturday, 23 April 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, 11-hour, 52-minute period from Saturday, 09 April 2022 at 04:53 UTC to Friday, 22 April 2022 at 16:46 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:
[76] retweet,believe [76] believe,#immigrationreform [76] #immigrationreform,#resistanceunited [76] #resistanceunited,#nhpolitics [75] nhcardona603,retweet [62] #daca,recipients [62] #immigration,#immigrationreform [54] #immigrationreform,#immigrationmatters [50] long,enough [49] waited,long Top Word Pairs in Tweet in G1:
[62] #daca,recipients [52] #immigrationreform,#immigrationmatters [50] long,enough [49] waited,long [49] give,#immigrationreform [48] recipients,we've [48] we've,waited [48] enough,give [16] country,takes [16] takes,labor Top Word Pairs in Tweet in G2:
[76] retweet,believe [76] believe,#immigrationreform [76] #immigrationreform,#resistanceunited [76] #resistanceunited,#nhpolitics [75] nhcardona603,retweet [2] kenastruck1,martelsa868 [2] martelsa868,exactly [2] exactly,fault [2] fault,decades [2] decades,inaction Top Word Pairs in Tweet in G3:
[16] #immigration,#immigrationreform [12] #canadaimmigration,#canadalife [12] #canadalife,#canadagram [12] #canadagram,#canadaswonderland [12] #canadaswonderland,#canadatrip [12] #canadatrip,#immigrationprogram [12] #immigrationprogram,#immigration [10] #immigrationattorney,#immigration [10] #immigration,#immigrationlaw [10] #immigrationlaw,#immigrationreform Top Word Pairs in Tweet in G4:
[39] never,hear [39] hear,again [39] again,immigrants [39] immigrants,taking [39] taking,jobs [39] jobs,away [39] away,hardest [39] hardest,loyal [38] customcore7,never [38] loyal,worke Top Word Pairs in Tweet in G5:
[19] join,along [19] along,familia [19] familia,vota [19] vota,unite [19] unite,florida [19] florida,rising [19] rising,hope [19] hope,community [19] community,center [19] center,many Top Word Pairs in Tweet in G6:
[24] repdlesko,all435reps [24] all435reps,being [24] being,apprehended [24] apprehended,stop [24] stop,spewing [24] spewing,talking [24] talking,points [24] points,try [24] try,upset [24] upset,people Top Word Pairs in Tweet in G7:
[4] pass,#immigrationreform [2] old,born [2] born,1986 [2] 1986,many [2] many,years [2] years,congress [2] congress,invested [2] potus,thedemocrats [2] #immigrationreform,#immigration [2] senatedems,housedemocrats Top Word Pairs in Tweet in G8:
[14] create,#immigrationreform [12] meet,democrats [12] democrats,create [11] republicans,refuse [11] central,american [11] american,humanitarian [11] humanitarian,crisis [10] refuse,meet [10] #immigrationreform,central [10] crisis,solving Top Word Pairs in Tweet in G9:
[22] black,american [9] kevin,errol [9] errol,lewis [9] lewis,black [9] caribbean,black [9] american,native [9] native,black [8] american,freedmen [6] black,mmigrant [6] mmigrant,caribbean Top Word Pairs in Tweet in G10:
[19] opposition,partys [19] partys,today [19] today,shown [19] shown,touch [19] touch,continue [19] continue,fail [19] fail,read [19] read,mood [19] mood,majority [18] short2cjs,opposition Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: