The graph represents a network of 281 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, 13 August 2022 at 16:17 UTC.
The requested start date was Saturday, 13 August 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, 19-hour, 56-minute period from Saturday, 30 July 2022 at 00:01 UTC to Friday, 12 August 2022 at 19:57 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 : 281
Unique Edges : 207
Edges With Duplicates : 310
Total Edges : 517
Number of Edge Types : 5
Retweet : 116
MentionsInRetweet : 176
Replies to : 32
Tweet : 89
Mentions : 104
Self-Loops : 91
Reciprocated Vertex Pair Ratio : 0.00357142857142857
Reciprocated Edge Ratio : 0.00711743772241993
Connected Components : 70
Single-Vertex Connected Components : 35
Maximum Vertices in a Connected Component : 55
Maximum Edges in a Connected Component : 120
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.625328
Graph Density : 0.00357142857142857
Modularity : 0.548643
NodeXL Version : 1.0.1.502
Data Import : The graph represents a network of 281 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, 13 August 2022 at 16:17 UTC.
The requested start date was Saturday, 13 August 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, 19-hour, 56-minute period from Saturday, 30 July 2022 at 00:01 UTC to Friday, 12 August 2022 at 19:57 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:
[30] well,planned [30] planned,offensive [30] offensive,disastrous [30] disastrous,retreat [30] retreat,finally [30] finally,glorious [30] glorious,victory [30] victory,thank [30] thank,fake [30] fake,immigration Top Word Pairs in Tweet in G1:
[30] well,planned [30] planned,offensive [30] offensive,disastrous [30] disastrous,retreat [30] retreat,finally [30] finally,glorious [30] glorious,victory [30] victory,thank [30] thank,fake [30] fake,immigration Top Word Pairs in Tweet in G2:
[10] #immigration,#immigrationreform [7] #daca,#immigration [7] #immigrationreform,#joebiden [7] #joebiden,#elsalvador [7] #elsalvador,#mexico [7] #mexico,#venezuela [7] #venezuela,#guatemala [7] #guatemala,#asylum [7] #asylum,#tps [7] #tps,#visas Top Word Pairs in Tweet in G3:
[9] let's,talk [9] talk,next [9] next,achievement [9] achievement,mr [9] mr,president [9] president,#immigrationreform [9] #immigrationreform,put [9] put,#hr2920 [9] #hr2920,#americanfamiliesunitedact [8] xmarksthespot35,let's Top Word Pairs in Tweet in G4:
[22] reminder,#title42 [22] #title42,goldmine [22] goldmine,republicans [22] republicans,opponent [22] opponent,dan [22] dan,crenshaw [22] crenshaw,knowingly [22] knowingly,uses [21] robinfulfordtx,reminder [20] uses,resultingâ Top Word Pairs in Tweet in G5:
[15] howdy,folks [15] folks,icymi [15] icymi,honored [15] honored,share [15] share,stance [15] stance,#immigrationreform [15] #immigrationreform,#gunsafetyleg [15] #gunsafetyleg,ktabtv's [15] ktabtv's,manny [15] manny,diaz Top Word Pairs in Tweet in G6:
[2] trussliz,rishisunak Top Word Pairs in Tweet in G7:
[9] speaking,#immigrationreform [9] #immigrationreform,easy [9] easy,forget [9] forget,#stress [9] #stress,#trauma [9] #trauma,#immigrants [9] #immigrants,endure [8] maryland_ppc,speaking [8] endure,beforeâ [4] 2021,deadliest Top Word Pairs in Tweet in G8:
[2] #medicareforall,#cancelstudentdebt [2] #cancelstudentdebt,#15hr Top Word Pairs in Tweet in G9:
[8] republicans,help [8] help,democrats [8] democrats,create [8] create,#immigrationreform [7] photo,ops [5] #immigrationreform,hanging [5] hanging,border [5] border,useless [5] useless,inaction [5] inaction,we've Top Word Pairs in Tweet in G10:
[2] #immigrationreform,#freedmen Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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: