The graph represents a network of 438 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, 09 April 2022 at 15:42 UTC.
The requested start date was Saturday, 09 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 11-day, 18-hour, 50-minute period from Saturday, 26 March 2022 at 03:41 UTC to Wednesday, 06 April 2022 at 22:32 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 : 438
Unique Edges : 383
Edges With Duplicates : 453
Total Edges : 836
Number of Edge Types : 5
Replies to : 135
MentionsInRetweet : 202
Retweet : 121
Mentions : 289
Tweet : 89
Self-Loops : 92
Reciprocated Vertex Pair Ratio : 0.0208768267223382
Reciprocated Edge Ratio : 0.0408997955010225
Connected Components : 72
Single-Vertex Connected Components : 30
Maximum Vertices in a Connected Component : 276
Maximum Edges in a Connected Component : 579
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.505235
Graph Density : 0.00255477884705809
Modularity : 0.52948
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 438 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, 09 April 2022 at 15:42 UTC.
The requested start date was Saturday, 09 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 11-day, 18-hour, 50-minute period from Saturday, 26 March 2022 at 03:41 UTC to Wednesday, 06 April 2022 at 22:32 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:
[54] #standupforukraine,#indicttrump [52] #gunreform,#immigrationreform [50] fail,fail [50] #immigrationreform,#gaygaygaygay [50] #gaygaygaygay,#lgbtqia [48] #lgbtqia,#womensrightsarehumanrights [47] #womensrightsarehumanrights,#indigenouspeoplesrights [39] #nojusticenopeace,#gunreform [38] #indicttrump,#votethemallout [38] #votethemallout,#nojusticenopeace Top Word Pairs in Tweet in G1:
[54] #standupforukraine,#indicttrump [52] #gunreform,#immigrationreform [50] #immigrationreform,#gaygaygaygay [50] #gaygaygaygay,#lgbtqia [48] #lgbtqia,#womensrightsarehumanrights [47] #womensrightsarehumanrights,#indigenouspeoplesrights [39] #nojusticenopeace,#gunreform [38] #indicttrump,#votethemallout [38] #votethemallout,#nojusticenopeace [25] #indigenouspeoplesrights,#climatecrisis Top Word Pairs in Tweet in G2:
[5] pass,#immigrationreform [5] immigration,reform [4] itâ,time [3] #daca,#tps [3] decades,working [3] criminal,background [3] better,#immigrationreform [3] wtf,parents [3] parents,came [3] came,illegally Top Word Pairs in Tweet in G3:
[50] fail,fail [30] create,#immigrationreform [30] central,american [30] american,humanitarian [29] humanitarian,crisis [26] republicans,help [26] help,democrats [26] democrats,create [26] #immigrationreform,bill [26] bill,central Top Word Pairs in Tweet in G4:
[24] markup,#hr2920 [22] #hr2920,american [22] american,families [22] families,united [22] united,act [21] time,markup [20] johnewrightjr1,repzoelofgren [19] repzoelofgren,time [19] act,marry [19] marry,live Top Word Pairs in Tweet in G5:
[14] #immigration,#immigrationreform [12] #daca,#immigration [12] #immigrationreform,#joebiden [12] #joebiden,#elsalvador [12] #elsalvador,#mexico [12] #mexico,#venezuela [12] #venezuela,#guatemala [12] #guatemala,#asylum [12] #asylum,#tps [12] #tps,#visas Top Word Pairs in Tweet in G7:
[4] speaksamuel,need [4] need,appointment [4] appointment,submit [4] submit,documents [4] documents,donâ [4] donâ,need [4] need,interview [3] andrewwilmoth3,speaksamuel [3] interview,usâ [3] h4,k2 Top Word Pairs in Tweet in G8:
[5] #sisepuede,#daca [5] #immigrationreform,year [4] #daca,#funfact [4] #funfact,need [4] need,#immigrationreform [4] year,make [4] make,happen [4] happen,#immigrationmatters [3] dreamers2gether,#sisepuede [3] #immigrationmatters,usprogress Top Word Pairs in Tweet in G9:
[12] go,wrong [12] wrong,everything [12] everything,#immigrationreform [12] #immigrationreform,#securetheborder [11] realdeancain,go Top Word Pairs in Tweet in G10:
[2] reset,immigration [2] immigration,#r21 [2] #r21,visa [2] visa,migrants [2] migrants,contributed [2] contributed,keep [2] keep,#newzealand [2] #newzealand,running [2] running,during [2] during,covid Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: