The graph represents a network of 4,472 Twitter users whose recent tweets contained "#ImmigrationReform", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 March 2023 at 16:22 UTC.
The tweets in the network were tweeted over the 3684-day, 19-hour, 29-minute period from Wednesday, 13 February 2013 at 02:49 UTC to Friday, 17 March 2023 at 22:19 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 4472
Unique Edges : 2890
Edges With Duplicates : 9527
Total Edges : 12417
Number of Edge Types : 9
Replies to : 1102
MentionsInReplyTo : 1858
Retweet : 2824
MentionsInRetweet : 3729
Mentions : 800
Tweet : 1408
Quote : 407
MentionsInQuote : 268
MentionsInQuoteReply : 21
Self-Loops : 1651
Reciprocated Vertex Pair Ratio : 0.010458427749695
Reciprocated Edge Ratio : 0.0207003622563395
Connected Components : 468
Single-Vertex Connected Components : 258
Maximum Vertices in a Connected Component : 3445
Maximum Edges in a Connected Component : 10589
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.44967
Graph Density : 0.000289932456790711
Modularity : 0.43866
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,472 Twitter users whose recent tweets contained "#ImmigrationReform", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 March 2023 at 16:22 UTC.
The tweets in the network were tweeted over the 3684-day, 19-hour, 29-minute period from Wednesday, 13 February 2013 at 02:49 UTC to Friday, 17 March 2023 at 22:19 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[546] manage,fine [546] seem,manage [546] echr,comes [546] apparently,restricted [546] austria,seem [546] restricted,echr [546] immigrants,austria [546] deporting,immigrants [546] comes,deporting [545] fine,wha Top Word Pairs in Tweet in G1:
[541] apparently,restricted [541] austria,seem [541] seem,manage [541] comes,deporting [541] immigrants,austria [541] manage,fine [541] restricted,echr [541] deporting,immigrants [541] echr,comes [540] fine,wha Top Word Pairs in Tweet in G2:
[394] create,#immigrationreform [307] democrats,create [302] help,democrats [222] refuse,help [189] humanitarian,crisis [153] republicans,refuse [133] crisis,affecting [132] republicans,ran [132] affecting,border [128] central,american Top Word Pairs in Tweet in G3:
[97] need,reform [97] country,birth [96] differently,merely [96] treating,people [96] birth,wrong [96] wrong,need [96] reform,immigration [96] merely,country [96] people,differently [95] immigration,syst Top Word Pairs in Tweet in G4:
[277] ysidro,one [277] entries,migrants [277] migrants,ask [277] top,entries [277] yourself,don [277] hear,gavin [277] one,top [277] diego,san [277] ask,yourself [277] don,hear Top Word Pairs in Tweet in G5:
[49] #immigration,#immigrationreform [17] #immigrants,#immigrationreform [15] migrant,workers [14] immigration,reform [14] allowing,more [14] fed,report [14] report,recommends [14] more,migrant [14] workers,restaurants [14] construction,trades Top Word Pairs in Tweet in G6:
[53] southern,border [53] senator,chris [53] chris,murphy [52] still,affected [52] positioned,far [52] far,southern [52] border,connecticut [52] acknowledged,despite [52] despite,being [52] connecticut,still Top Word Pairs in Tweet in G7:
[26] allenorresq,immigration [24] potential,limited [24] sum,zero [24] zero,discussion [24] immigration,sum [24] see,immigrants [24] immigrants,workers [24] until,see [24] discussion,potential [24] limited,until Top Word Pairs in Tweet in G8:
[40] american,flag [40] stabbed,woman [40] flag,shirt [40] woman,wearing [40] wearing,american [40] paul,peter [40] beat,stabbed [40] peter,jal [39] jal,beat [39] immigrant,paul Top Word Pairs in Tweet in G9:
[18] votes,#immigrationreform [18] exactly,party [18] obstruction,always [18] party,obstruction [18] always,votes [17] brianradfordaz,exactly [14] break,gop [14] #immigrationreform,bill [14] senatorsinema,trump [14] majority,elected Top Word Pairs in Tweet in G10:
[71] truth,comes [70] throughout,year [70] free,ticks [70] more,truths [70] truths,throughout [70] free,follow [70] year,free [70] follow,more [70] feel,free [70] comes,feel 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: