The graph represents a network of 4,559 Twitter users whose recent tweets contained "knightfdn", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/4/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 05 March 2023 at 22:09 UTC.
The tweets in the network were tweeted over the 3155-day, 17-hour, 50-minute period from Monday, 14 July 2014 at 05:39 UTC to Saturday, 04 March 2023 at 23:30 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 : 4559
Unique Edges : 6657
Edges With Duplicates : 15856
Total Edges : 22513
Number of Edge Types : 9
Quote : 295
MentionsInRetweet : 7293
Retweet : 3006
MentionsInReplyTo : 6547
Replies to : 1204
Mentions : 2906
MentionsInQuote : 790
MentionsInQuoteReply : 281
Tweet : 191
Self-Loops : 991
Reciprocated Vertex Pair Ratio : 0.0390317132670295
Reciprocated Edge Ratio : 0.0751309373306845
Connected Components : 7
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 4552
Maximum Edges in a Connected Component : 22503
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.089177
Graph Density : 0.000532918266006966
Modularity : 0.365797
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,559 Twitter users whose recent tweets contained "knightfdn", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/4/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 05 March 2023 at 22:09 UTC.
The tweets in the network were tweeted over the 3155-day, 17-hour, 50-minute period from Monday, 14 July 2014 at 05:39 UTC to Saturday, 04 March 2023 at 23:30 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 : TwitterSearch2
Graph Term : knightfdn
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:
[693] atrupar,karaswisher [572] still,feel [570] former,twitter [569] feel,way [568] under,elon [566] twitter,trust [566] way,former [566] actually,safer [566] twitter,actually [566] karaswisher,tweeted Top Word Pairs in Tweet in G1:
[152] media,forum [110] local,news [82] knight,media [68] knightfdn,media [49] knightfdn,#kmf23 [39] knight,foundation [35] signal,akron [30] knightfdn,knight [28] investment,signal [28] akron,nonprofit Top Word Pairs in Tweet in G2:
[689] atrupar,karaswisher [566] still,feel [564] under,elon [563] feel,way [562] twitter,trust [562] karaswisher,tweeted [562] actually,safer [562] tweeted,twitter [562] way,former [562] elon,still Top Word Pairs in Tweet in G3:
[48] knightfdn,#informed22 [43] carnegiecorp,knightfdn [42] cronkite_asu,carnegiecorp [41] knight,research [41] research,network [40] parrillaga,cronkite_asu [37] network,knightfdn [36] first,time [35] twitter,former [35] weeks,ago Top Word Pairs in Tweet in G4:
[113] thejpbfdn,knightfdn [112] knightfdn,kresgefdn [105] kresgefdn,williampennfdn [49] public,space [41] public,spaces [35] power,commons [26] report,power [22] akciviccommons,akronohiomayor [21] civic,commons [17] days,inspiration Top Word Pairs in Tweet in G5:
[56] gallup,knightfdn [37] knightfdn,gallup [31] national,news [29] americans,believe [24] believe,national [21] 50,americans [21] local,news [19] survey,conducted [19] knightfdn,found [19] #econwatch,survey Top Word Pairs in Tweet in G6:
[9] nano,robotics [7] miamiherald,knightfdn [6] funded,reporter [6] supreme,court [6] white,house [6] reporter,white [6] house,perhaps [6] disinformation,reporter [6] perhaps,miamiherald [6] knightfdn,funded Top Word Pairs in Tweet in G7:
[116] cjr,ifjglobal [116] ifjglobal,aibnews [116] aibnews,knightfdn [115] pressfreedom,cjr [105] insinews,frontlineclub [105] knightfdn,insinews [68] #protect_journalists_from_french_regime,pressfreedom [66] simo__ben,#protect_journalists_from_french_regime [39] frontlineclub,nujofficial [39] nujofficial,journalismnews Top Word Pairs in Tweet in G8:
[17] realchrisrufo,knightfdn [14] knight,foundation [14] knightfdn,manhattaninst [11] jaxchamber,orlandochamber [11] miamichamber,jaxchamber [8] trumpistheenemy,knightfdn [8] manhattaninst,realchrisrufo [7] miamichamber,caseydesantis [6] knightfdn,bankrolls [6] foundation,bankrolls Top Word Pairs in Tweet in G9:
[7] media,forensics [7] forensics,hub [6] proud,add [6] add,clemsonuniv's [6] hub,growing [6] centers,wor [6] knightfdn,proud [6] clemsonuniv's,media [6] research,centers [6] growing,community Top Word Pairs in Tweet in G10:
[25] using,trust [25] re,using [25] communities,re [25] america,#military [25] #veteran,communities [25] re,exploiting [25] #military,#veteran [25] trust,america [22] americanlegion,re [20] counter,disinformation Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: