The graph represents a network of 463 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 January 2022 at 16:42 UTC.
The requested start date was Saturday, 08 January 2022 at 01:01 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, 20-hour, 42-minute period from Saturday, 25 December 2021 at 01:34 UTC to Friday, 07 January 2022 at 22:16 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 : 463
Unique Edges : 352
Edges With Duplicates : 480
Total Edges : 832
Number of Edge Types : 5
Tweet : 120
Mentions : 186
Retweet : 194
MentionsInRetweet : 273
Replies to : 59
Self-Loops : 122
Reciprocated Vertex Pair Ratio : 0.0170940170940171
Reciprocated Edge Ratio : 0.0336134453781513
Connected Components : 111
Single-Vertex Connected Components : 58
Maximum Vertices in a Connected Component : 204
Maximum Edges in a Connected Component : 489
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.661887
Graph Density : 0.00222527652333268
Modularity : 0.565027
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 463 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 January 2022 at 16:42 UTC.
The requested start date was Saturday, 08 January 2022 at 01:01 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, 20-hour, 42-minute period from Saturday, 25 December 2021 at 01:34 UTC to Friday, 07 January 2022 at 22:16 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:
[39] #immigration,#immigrationreform [21] foreign,spouses [20] #congress,citizens [20] citizens,foreign [20] spouses,voted [20] voted,put [20] put,#democrats [20] #democrats,power [20] power,promise [20] promise,pass Top Word Pairs in Tweet in G1:
[9] #immigration,#immigrationreform [9] #immigrationattorney,#immigration [9] #immigration,#immigrationlaw [9] #immigrationlaw,#immigrationreform [8] #immigrationreform,#immigrationservices [5] immigration,reform [3] #immigrationreform,#immigrationmatters [3] #miamidadesheriff2024,#alexfornet [3] #alexfornet,#crimestoppers [3] #crimestoppers,#1stresponders Top Word Pairs in Tweet in G2:
[5] #immigrationreform,#immigrantsareessential [4] midterms,coming [4] potus,joebiden [3] senatedems,housedemocrats [3] housedemocrats,senatedems [3] vp,kamalaharris [3] #immigrationreform,#policereform [2] #election2022,midterms [2] maelvirasalazar,time [2] time,planning Top Word Pairs in Tweet in G3:
[18] #congress,citizens [18] citizens,foreign [18] foreign,spouses [18] spouses,voted [18] voted,put [18] put,#democrats [18] #democrats,power [18] power,promise [18] promise,pass [17] progjective,#congress Top Word Pairs in Tweet in G4:
[15] 2022,libertarians [15] libertarians,still [15] still,firmly [15] firmly,believe [15] believe,#openimmigration [15] #openimmigration,#immigrationreform [15] #immigrationreform,#immigrantswelcome [15] #immigrantswelcome,#immigrants [13] 86rajani,2022 [13] #immigrants,#refuge Top Word Pairs in Tweet in G5:
[12] canada,meets [12] meets,2021 [12] 2021,immigration [12] immigration,target [12] target,401 [12] 401,000 [12] 000,prs [12] prs,meanwhile [12] meanwhile,immigration [12] immigration,excuses Top Word Pairs in Tweet in G6:
[8] #india,#hongkong [8] davidghfrost,people [8] people,man [8] man,aren [8] aren,going [8] going,happy [8] happy,lied [8] lied,mugged [7] barnsley,man [7] man,see Top Word Pairs in Tweet in G7:
[2] small1ldy1,xrgroningen [2] xrgroningen,amrakunj [2] amrakunj,plamen_neykov [2] plamen_neykov,rawsunlight [2] rawsunlight,charlot2409 [2] charlot2409,tarotray [2] tarotray,circleoneearth [2] circleoneearth,analisa_swan Top Word Pairs in Tweet in G8:
[11] pass,#immigrationreform [10] #daca,#immigration [9] few,weeks [9] weeks,before [9] before,passing [9] passing,senharryreid [9] senharryreid,urged [9] urged,senatedems [9] senatedems,pass [9] #immigrationreform,year Top Word Pairs in Tweet in G9:
[10] time,#increaseminimumwage [10] #increaseminimumwage,#paidfamilyleave [10] #paidfamilyleave,#universalprek [10] #universalprek,#reducedrugprices [10] #reducedrugprices,#climateaction [7] immigration,reform [7] #climateaction,#healthcare [6] latest,piece [6] piece,medium [6] medium,includes Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Mentioned in Entire Graph:
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:
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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: