The graph represents a network of 1,000 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, 31 July 2021 at 15:43 UTC.
The requested start date was Saturday, 31 July 2021 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, 22-hour, 55-minute period from Saturday, 17 July 2021 at 00:01 UTC to Friday, 30 July 2021 at 22:56 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 : 1000
Unique Edges : 843
Edges With Duplicates : 1758
Total Edges : 2601
Number of Edge Types : 5
Tweet : 239
Retweet : 673
MentionsInRetweet : 1221
Mentions : 395
Replies to : 73
Self-Loops : 254
Reciprocated Vertex Pair Ratio : 0.0192444761225944
Reciprocated Edge Ratio : 0.0377622377622378
Connected Components : 176
Single-Vertex Connected Components : 97
Maximum Vertices in a Connected Component : 531
Maximum Edges in a Connected Component : 1765
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.495533
Graph Density : 0.00143143143143143
Modularity : 0.490119
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,000 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, 31 July 2021 at 15:43 UTC.
The requested start date was Saturday, 31 July 2021 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, 22-hour, 55-minute period from Saturday, 17 July 2021 at 00:01 UTC to Friday, 30 July 2021 at 22:56 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:
[99] modern,concentration [99] concentration,camps [99] camps,work [99] work,multi [99] multi,billion [99] billion,dollar [99] dollar,industry [99] industry,drives [99] drives,#abolishice [97] youranoncentral,modern Top Word Pairs in Tweet in G1:
[83] potus,vp [70] senatedems,housedemocrats [69] housedemocrats,potus [61] zoetillman,senatedems [60] gcbcoalition,zoetillman [51] vp,time [46] time,#congress [46] #congress,act [46] act,#immigrationreform [46] #immigrationreform,give Top Word Pairs in Tweet in G2:
[97] modern,concentration [97] concentration,camps [97] camps,work [97] work,multi [97] multi,billion [97] billion,dollar [97] dollar,industry [97] industry,drives [97] drives,#abolishice [96] youranoncentral,modern Top Word Pairs in Tweet in G3:
[12] support,#immigrationreform [11] #immigrationreform,#noamnesty [11] #noamnesty,#securetheborder [11] #securetheborder,#immigration [11] #immigration,#makedclisten [11] #makedclisten,#pjnet [11] #pjnet,#redmeat [11] #redmeat,#tcot [8] #immigration,#immigrationreform [7] immigration,reform Top Word Pairs in Tweet in G4:
[30] press,conference [28] americanbic,press [22] immigration,reform [13] comprehensive,immigration [12] 11,million [10] spoke,americanbic [10] joined,americanbic [10] reform,11 [9] many,thanks [9] join,americanbic Top Word Pairs in Tweet in G5:
[64] time,democrat [64] democrat,leadership [64] leadership,put [64] put,bipartisan [64] bipartisan,bill [64] bill,floor [64] floor,vote [64] vote,#immigrationreform [64] #immigrationreform,#hr3648 [63] wjraghu,time Top Word Pairs in Tweet in G6:
[5] insult,injury [5] injury,top [5] top,system [5] system,made [5] made,wait [5] wait,longer [5] longer,others [5] others,pr [5] short,story [5] story,eb Top Word Pairs in Tweet in G7:
[3] tarikcyrilamar,briebriejoy [3] briebriejoy,many [3] many,campaign [3] campaign,promises [3] promises,actually [3] actually,fought [3] fought,#medicareforall [3] outrage,joebiden [3] joebiden,fate [3] fate,immigration Top Word Pairs in Tweet in G8:
[28] mexicans,hardest [28] hardest,working [28] working,people [28] people,planet [28] planet,hence [28] hence,value [28] value,success [28] success,come [28] come,over [28] over,border Top Word Pairs in Tweet in G9:
[15] nice,members [13] downtown,#manhattan [13] immigrants,essential [12] today,12pm [12] 12pm,re [12] re,rallying [12] rallying,downtown [12] #manhattan,demand [12] demand,#immigrationreform [12] #immigrationreform,immigrants Top Word Pairs in Tweet in G10:
[30] united,states [30] path,citizenship [28] polls_unbiased,united [16] states,deport [16] deport,immigrants [16] immigrants,living [16] living,illegally [16] illegally,offer [16] offer,path [16] citizenship,follow Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
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 G9:
Top Tweeters in G10: