The graph represents a network of 5,629 Twitter users whose recent tweets contained "Koch", 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 3/14/2023 5:00:36 PM. The network was obtained from Twitter on Wednesday, 15 March 2023 at 14:34 UTC.
The tweets in the network were tweeted over the 2923-day, 19-hour, 4-minute period from Friday, 13 March 2015 at 04:56 UTC to Wednesday, 15 March 2023 at 00:00 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 : 5629
Unique Edges : 2981
Edges With Duplicates : 11956
Total Edges : 14937
Number of Edge Types : 9
Replies to : 1666
MentionsInReplyTo : 3792
Retweet : 3307
MentionsInRetweet : 4730
Tweet : 798
Mentions : 315
Quote : 146
MentionsInQuote : 134
MentionsInQuoteReply : 49
Self-Loops : 1036
Reciprocated Vertex Pair Ratio : 0.037234854265222
Reciprocated Edge Ratio : 0.071796380756216
Connected Components : 835
Single-Vertex Connected Components : 211
Maximum Vertices in a Connected Component : 2283
Maximum Edges in a Connected Component : 7056
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4.719239
Graph Density : 0.000214551686407189
Modularity : 0.449868
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,629 Twitter users whose recent tweets contained "Koch", 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 3/14/2023 5:00:36 PM. The network was obtained from Twitter on Wednesday, 15 March 2023 at 14:34 UTC.
The tweets in the network were tweeted over the 2923-day, 19-hour, 4-minute period from Friday, 13 March 2015 at 04:56 UTC to Wednesday, 15 March 2023 at 00:00 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 : Koch
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:
[876] peter,thiel [833] rupert,murdoch [829] elon,musk [816] board,directors [816] musk,peter [816] james,murdoch [815] led,paypal [815] thiel,led [815] murdoch,rupert [815] musk,tesla Top Word Pairs in Tweet in G1:
[792] james,murdoch [791] musk,tesla [791] rupert,murdoch [791] musk,peter [791] led,paypal [791] thiel,led [791] murdoch,board [791] board,directors [791] elon,musk [791] tesla,musk Top Word Pairs in Tweet in G2:
[210] rail,safety [209] funded,norfolk [209] linked,groups [209] including,one [209] norfolk,southern [209] koch,linked [209] southern,line [209] line,against [209] groups,including [209] one,funded Top Word Pairs in Tweet in G3:
[763] juddlegum,sarahhuckabee [221] child,labor [200] sarahhuckabee,2016 [159] charles,koch [158] sarahhuckabee,conservative [158] late,brother [158] koch,late [158] pushed,lift [158] conservative,billionaire [158] lift,restrictions Top Word Pairs in Tweet in G4:
[213] alfred,koch [204] text,alfred [204] koch,ehemaliger [203] fünfzehn,tage [203] #russland,jahr [203] ministerpräsident,#russland [203] starker,text [203] ehemaliger,stelv [203] stelv,ministerpräsident [203] jahr,fünfzehn Top Word Pairs in Tweet in G5:
[16] robert,koch [12] robin,koch [10] leeds,united [9] norfolk,southern [9] koch,linked [9] funded,norfolk [7] southern,line [7] koch,brothers [7] one,funded [6] heckler,koch Top Word Pairs in Tweet in G6:
[17] peter,thiel [14] #fascism,#kochnetwork [13] disruptive,technologies [12] chr155y_333,spartan31722559 [12] greedy,fascist [11] crypto,banks [11] sbmccallister,chr155y_333 [11] musk,spacex [11] banks,silvergate [11] federalist,society Top Word Pairs in Tweet in G7:
[19] koch,brothers [16] moment,wait [16] prior,employment [16] version,russia [16] listening,moment [16] re,listening [16] yes,worked [16] eastern,europe [16] desantis,version [16] davidjollyfl,desantis Top Word Pairs in Tweet in G8:
[19] ko,koch [12] khan,ko [12] عمران,خان [8] koch,nahi [7] koch,howa [7] زمان,پارک [7] خان,صاحب [6] ka,koch [6] خان,کی [6] imran,khan Top Word Pairs in Tweet in G9:
[46] gop's,blood [46] society,lost [46] money,society [46] lost,goddamned [46] clip,society [46] blood,money [46] poisoned,nra [46] mind,poisoned [46] nra,gop's [46] goddamned,mind Top Word Pairs in Tweet in G10:
[34] dark,money [29] money,koch [28] beats,soros' [28] nobody,beats [28] soros',127 [28] 2022,teacher [28] spent,combined [28] bro's,28 [28] 127,mil [28] unions,spent Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G5:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: