The graph represents a network of 917 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, 10 April 2021 at 15:43 UTC.
The requested start date was Saturday, 10 April 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, 23-hour, 9-minute period from Saturday, 27 March 2021 at 00:11 UTC to Friday, 09 April 2021 at 23:20 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 : 917
Unique Edges : 798
Edges With Duplicates : 903
Total Edges : 1701
Number of Edge Types : 5
Retweet : 307
MentionsInRetweet : 541
Mentions : 439
Replies to : 133
Tweet : 281
Self-Loops : 303
Reciprocated Vertex Pair Ratio : 0.0286624203821656
Reciprocated Edge Ratio : 0.0557275541795666
Connected Components : 243
Single-Vertex Connected Components : 132
Maximum Vertices in a Connected Component : 312
Maximum Edges in a Connected Component : 676
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.719629
Graph Density : 0.00115360988223417
Modularity : 0.568372
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 917 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, 10 April 2021 at 15:43 UTC.
The requested start date was Saturday, 10 April 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, 23-hour, 9-minute period from Saturday, 27 March 2021 at 00:11 UTC to Friday, 09 April 2021 at 23:20 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:
[105] #immigration,#immigrationreform [44] united,states [43] path,citizenship [39] polls_unbiased,united [36] #h4ead,#h4eaddelays [35] #greencardbacklog,#greencard [35] #greencard,#h1b [35] #h1b,#h1bvisa [35] #h1bvisa,#h4 [35] #h4,#h4ead Top Word Pairs in Tweet in G1:
[26] #stophumantrafficking,way [26] way,going [26] going,fix [26] fix,accept [26] accept,fact [26] fact,need [26] need,best [26] best,#immigrationreform [26] #immigrationreform,research [26] research,believe Top Word Pairs in Tweet in G2:
[7] really,need [6] mr,president [6] years,apply [6] vp,welcome [6] welcome,life [6] life,dignity [6] dignity,keep [6] keep,pushing [6] pushing,really [6] need,help Top Word Pairs in Tweet in G3:
[6] senschumer,senatedems [5] #immigration,#immigrationreform [5] #immigrationreform,#immigrationmatters [5] hiasrefugees,senschumer [5] senatedems,#migrantcrisis [4] #viewpoint,#immigration [4] #immigration,crisis [4] crisis,finally [4] finally,solved [4] #immigrationmatters,hiasrefugees Top Word Pairs in Tweet in G5:
[3] children,parents [2] #immigrationreform,help [2] go,dc [2] tedcruz,gee [2] gee,ted [2] ted,believe [2] believe,happened [2] happened,last [2] last,yrs [2] yrs,sessions Top Word Pairs in Tweet in G6:
[41] united,states [41] path,citizenship [39] polls_unbiased,united [24] states,deport [24] deport,immigrants [24] immigrants,living [24] living,illegally [24] illegally,offer [24] offer,path [24] citizenship,follow Top Word Pairs in Tweet in G7:
[14] extend,sincere [14] sincere,gratitude [14] ji,hope [11] saveh4eads,lalitkjha [11] lalitkjha,whitehouse [11] whitehouse,presssec [11] presssec,behalf [11] behalf,extend [11] gratitude,lalit [11] lalit,ji Top Word Pairs in Tweet in G8:
[30] #greencardbacklog,#greencard [30] #greencard,#h1b [30] #h1b,#h1bvisa [30] #h1bvisa,#h4 [30] #h4,#h4ead [30] #h4ead,#h4eaddelays [30] #h4eaddelays,#immigration [24] #immigration,#immigrationreform [15] #immigrationreform,#legalimmigration [11] wtlmemes,#greencardbacklog Top Word Pairs in Tweet in G9:
[19] nytimes,legal [19] legal,fair [19] fair,citizens [19] citizens,state [19] state,usa [19] usa,human [19] human,kindness [19] kindness,yes [18] bscottanner,nytimes Top Word Pairs in Tweet in G10:
[13] wttw,#chicagotonight [13] #chicagotonight,7p [13] 7p,illinois [13] illinois,congress [13] congress,members [13] members,reps [13] reps,jan [13] jan,schakowsky [13] schakowsky,jesús [13] jesús,chuy Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G9:
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: