The graph represents a network of 839 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, 02 July 2022 at 16:17 UTC.
The requested start date was Saturday, 02 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, 20-hour, 11-minute period from Saturday, 18 June 2022 at 02:03 UTC to Friday, 01 July 2022 at 22:15 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 : 839
Unique Edges : 584
Edges With Duplicates : 1381
Total Edges : 1965
Number of Edge Types : 5
Tweet : 185
Retweet : 604
MentionsInRetweet : 874
Mentions : 206
Replies to : 96
Self-Loops : 207
Reciprocated Vertex Pair Ratio : 0.00103305785123967
Reciprocated Edge Ratio : 0.00206398348813209
Connected Components : 152
Single-Vertex Connected Components : 85
Maximum Vertices in a Connected Component : 266
Maximum Edges in a Connected Component : 760
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.674859
Graph Density : 0.0013782176189975
Modularity : 0.48787
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 839 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, 02 July 2022 at 16:17 UTC.
The requested start date was Saturday, 02 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, 20-hour, 11-minute period from Saturday, 18 June 2022 at 02:03 UTC to Friday, 01 July 2022 at 22:15 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:
[141] immigrants,sudden [141] sudden,become [141] become,revolutionaries [141] revolutionaries,protest [141] protest,injustice [141] injustice,countries [141] countries,flee [140] adosempowering,immigrants [124] united,states [117] path,citizenship Top Word Pairs in Tweet in G1:
[138] immigrants,sudden [138] sudden,become [138] become,revolutionaries [138] revolutionaries,protest [138] protest,injustice [138] injustice,countries [138] countries,flee [137] adosempowering,immigrants [24] never,forgot [24] forgot,immigrant Top Word Pairs in Tweet in G2:
[10] #immigrationlaw,#immigrationreform [9] #immigration,#immigrationreform [9] #immigrationattorney,#immigration [9] #immigration,#immigrationlaw [8] san,antonio [7] #immigrationreform,#immigrationservices [6] minikon,law [5] found,dead [5] #immigrationservices,#callustoday [5] #callustoday,#immigration Top Word Pairs in Tweet in G3:
[116] united,states [116] path,citizenship [114] polls_unbiased,united [75] states,deport [75] deport,immigrants [75] immigrants,living [75] living,illegally [75] illegally,offer [75] offer,path [75] citizenship,follow Top Word Pairs in Tweet in G4:
[50] foreign,national [50] national,spouses [49] suffering,cruel [41] spouses,suffering [31] #waiverequality,#immigrationreform [28] whitehouse,president [28] president,biden [27] floridians,foreign [26] #uscitizenspouses,#waiverequality [25] johnewrightjr1,whitehouse Top Word Pairs in Tweet in G6:
[11] need,#immigrationreform [8] #immigrationreform,potus [8] potus,lm [4] potus,vp [4] #immigrationreform,lm [4] dreamers2gether,need [4] 35,years [4] years,congress [4] congress,passed [4] passed,meaningful Top Word Pairs in Tweet in G7:
[34] today,grieve [34] grieve,another [34] another,preventable [34] preventable,tragedy [34] tragedy,51 [34] 51,lives [34] lives,lost [34] lost,#tx23 [34] #tx23,epicenter [34] epicenter,ineffective Top Word Pairs in Tweet in G8:
[25] matthewjdowd,exec [25] exec,restaurant [25] restaurant,industry [25] industry,agriculture [25] agriculture,friends [25] friends,begging [25] begging,#immigrationreform [24] bidenwonthnkgod,matthewjdowd [3] title,42 [3] cross,border Top Word Pairs in Tweet in G9:
[5] republicans,help [5] help,democrats [5] democrats,create [5] create,#immigrationreform [5] #immigrationreform,republicans [5] republicans,solutions [5] solutions,problems [5] problems,republicans [5] republicans,entire [5] entire,campaign Top Word Pairs in Tweet in G10:
[2] #texas,#immigrationreform [2] happen,again [2] work,together Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
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:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: