The graph represents a network of 360 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, 08 August 2020 at 16:46 UTC.
The requested start date was Saturday, 08 August 2020 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, 19-hour, 16-minute period from Saturday, 25 July 2020 at 01:04 UTC to Wednesday, 05 August 2020 at 20:20 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 : 360
Unique Edges : 207
Edges With Duplicates : 531
Total Edges : 738
Number of Edge Types : 5
Retweet : 240
MentionsInRetweet : 334
Mentions : 60
Replies to : 18
Tweet : 86
Self-Loops : 92
Reciprocated Vertex Pair Ratio : 0.00266666666666667
Reciprocated Edge Ratio : 0.00531914893617021
Connected Components : 82
Single-Vertex Connected Components : 33
Maximum Vertices in a Connected Component : 100
Maximum Edges in a Connected Component : 306
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.085598
Graph Density : 0.00290931600123801
Modularity : 0.491852
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 360 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, 08 August 2020 at 16:46 UTC.
The requested start date was Saturday, 08 August 2020 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, 19-hour, 16-minute period from Saturday, 25 July 2020 at 01:04 UTC to Wednesday, 05 August 2020 at 20:20 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:
[73] good,news [73] news,need [73] need,re [73] re,elect [73] elect,realdonaldtrump [73] realdonaldtrump,finish [73] finish,wall [73] wall,reform [73] reform,immigration [73] immigration,laws Top Word Pairs in Tweet in G1:
[73] good,news [73] news,need [73] need,re [73] re,elect [73] elect,realdonaldtrump [73] realdonaldtrump,finish [73] finish,wall [73] wall,reform [73] reform,immigration [73] immigration,laws Top Word Pairs in Tweet in G2:
[42] oskar1schindler,#immileaks [25] #immileaks,#1 [25] #1,immigration [25] immigration,lawyers [25] lawyers,under [25] under,#aila [25] #aila,against [25] against,#immigrationreform [25] #immigrationreform,reason [24] reason,#dac Top Word Pairs in Tweet in G3:
[6] #immigration,#immigrationreform [6] #immigrationattorney,#immigrationservices [5] #diasporalaw,#immigration [5] #immigration,#inmigracion [5] #inmigracion,#immigrationreform [5] #immigrationreform,#immigrationlawyer [5] #immigrationlawyer,#immigrationattorney [5] #immigrationservices,#immigrationstories [5] #immigrationstories,#immigrationrights [4] #immigrationrights,#latism Top Word Pairs in Tweet in G4:
[22] going,sign [22] sign,health [22] health,care [22] care,plan [22] plan,immigration [22] immigration,plan [22] plan,very [22] very,soon [22] soon,bills [22] bills,desk Top Word Pairs in Tweet in G5:
[10] immigration,reform [10] reform,news [10] news,gab [9] re,tweet [7] orig,fascist [7] fascist,news [7] news,paper [7] paper,arnold [7] arnold,leese [7] leese,1937 Top Word Pairs in Tweet in G6:
[10] txcivilrights,reminder [10] reminder,people [10] people,children [10] children,adults [10] adults,died [10] died,result [10] result,internationally [10] internationally,recognized [9] jamesmwilliam18,txcivilrights Top Word Pairs in Tweet in G7:
[3] x_mr202,kanenfodder [3] kanenfodder,yovince [3] yovince,mistertoybear [3] mistertoybear,stankuba [3] dnc,gop [2] stankuba,dnc [2] gop,daca [2] daca,settled [2] settled,2017 [2] 2017,#congress Top Word Pairs in Tweet in G8:
[2] project,project Top Word Pairs in Tweet in G9:
[4] immigration,nation [4] nation,given [4] given,drive [4] drive,passion [4] passion,more [4] more,elect [4] elect,officials [4] officials,corrupt [4] corrupt,base [3] hiring,immigrants Top Word Pairs in Tweet in G10:
[6] really,pretend [6] pretend,undocumented [6] undocumented,folks [6] folks,don [6] don,pay [6] pay,taxes [6] taxes,huh [6] huh,#medicareforall [6] #medicareforall,#immigrationreform [5] ourrev305,really Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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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:
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Top Tweeters in G5:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: