The graph represents a network of 4,019 Twitter users whose recent tweets contained "veteran benefits", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 10/20/2023 12:00:00 AM and 10/27/2023 6:27:46 AM. The network was obtained from Twitter on Friday, 27 October 2023 at 14:11 UTC.
The tweets in the network were tweeted over the 2715-day, 14-hour, 2-minute period from Friday, 20 May 2016 at 23:19 UTC to Friday, 27 October 2023 at 13:22 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 4019
Unique Edges : 4536
Edges With Duplicates : 913
Total Edges : 5449
Number of Edge Types : 9
Retweet : 1864
Replies to : 875
MentionsInReplyTo : 731
Tweet : 521
MentionsInRetweet : 1071
Quote : 121
Mentions : 210
MentionsInQuote : 47
MentionsInQuoteReply : 9
Self-Loops : 702
Reciprocated Vertex Pair Ratio : 0.0149812734082397
Reciprocated Edge Ratio : 0.029520295202952
Connected Components : 782
Single-Vertex Connected Components : 264
Maximum Vertices in a Connected Component : 1432
Maximum Edges in a Connected Component : 2303
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 8.79025
Graph Density : 0.000268510538109733
Modularity : 0.809641
NodeXL Version : 1.0.1.523
Data Import : The graph represents a network of 4,019 Twitter users whose recent tweets contained "veteran benefits", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 10/20/2023 12:00:00 AM and 10/27/2023 6:27:46 AM. The network was obtained from Twitter on Friday, 27 October 2023 at 14:11 UTC.
The tweets in the network were tweeted over the 2715-day, 14-hour, 2-minute period from Friday, 20 May 2016 at 23:19 UTC to Friday, 27 October 2023 at 13:22 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch3
Graph Term : veteran benefits
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:
[383] veteran,benefits [258] veterans,benefits [215] pact,act [189] having,fight [162] voted,against [149] benefits,veterans [144] social,security [124] health,care [119] votes,against [117] combat,veterans Top Word Pairs in Tweet in G1:
[28] veterans,benefits [19] veteran,benefits [15] learn,more [13] benefits,veterans [11] disability,benefits [11] social,security [10] pact,act [8] savi,dual [8] military,veterans [8] proceeds,benefit Top Word Pairs in Tweet in G2:
[85] orange,toxic [85] agent,orange [85] eligible,expanded [85] exposed,burn [85] pits,agent [85] burn,pits [85] toxic,substances [85] expanded,care [85] substances,eligible [85] veterans,exposed Top Word Pairs in Tweet in G3:
[108] party,votes [108] moronic,low [108] life,votes [108] during,shortage [108] against,baby [108] formula,during [108] baby,formula [108] votes,party [108] shortage,veteran [108] veteran,benefits Top Word Pairs in Tweet in G4:
[95] soc,sec [81] wep,gpo [66] paid,soc [62] sec,benefits [52] benefits,veterans [46] veterans,police [44] teachers,firefighters [36] dems,gop [34] firefighters,others [34] 40,years Top Word Pairs in Tweet in G5:
[95] larrydjonesjr,libsoftiktok [94] benefits,person [94] many,veterans [94] person,full [94] veterans,homeless [94] homeless,benefits [94] libsoftiktok,okay [94] okay,many [93] full,bl [5] veterans,benefits Top Word Pairs in Tweet in G6:
[110] hell,veteran [110] fight,hell [110] combat,veterans [110] veteran,benefits [110] having,fight [110] veterans,over [110] over,country [110] hear,combat [110] country,having [109] infantry_bucky,hear Top Word Pairs in Tweet in G7:
[42] veteran,benefits [32] social,security [20] security,medicare [15] entitlements,including [10] including,veteran [9] cuts,entitlements [9] veterans,benefits [7] taxpayer,funded [7] sooner,expected [7] cuts,taxpayer Top Word Pairs in Tweet in G8:
[25] veteran,benefits [18] veterans,benefits [14] service,connection [14] crap,lejeune [14] screwed,nam [14] frauds,screwed [14] stop,posting [14] approve,crap [14] lejeune,claim [14] presumptive,disease Top Word Pairs in Tweet in G9:
[63] pact,act [57] act,largest [57] families,history [57] benefits,toxic [57] exposed,veterans [57] toxic,exposed [57] largest,expansion [57] expansion,benefits [57] veterans,families [56] history,vetera Top Word Pairs in Tweet in G10:
[50] excellent,programs [50] gone,above [50] created,excellent [50] florida,created [50] programs,hometown [50] desantis,gone [50] beyond,veterans [50] veterans,florida [50] above,beyond [49] swisswatchguy,desantis Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: