The graph represents a network of 4,949 Twitter users whose recent tweets contained "panamapapers", 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 3/12/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 13 March 2023 at 22:06 UTC.
The tweets in the network were tweeted over the 2534-day, 2-hour, 29-minute period from Sunday, 03 April 2016 at 20:38 UTC to Sunday, 12 March 2023 at 23:08 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 : 4949
Unique Edges : 3096
Edges With Duplicates : 12385
Total Edges : 15481
Number of Edge Types : 9
Retweet : 3360
MentionsInRetweet : 5226
Quote : 167
Replies to : 1511
MentionsInReplyTo : 3619
Tweet : 609
Mentions : 533
MentionsInQuoteReply : 96
MentionsInQuote : 360
Self-Loops : 1454
Reciprocated Vertex Pair Ratio : 0.0204019488428745
Reciprocated Edge Ratio : 0.0399880632646971
Connected Components : 431
Single-Vertex Connected Components : 120
Maximum Vertices in a Connected Component : 3145
Maximum Edges in a Connected Component : 11783
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.286836
Graph Density : 0.000273688959643824
Modularity : 0.427176
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,949 Twitter users whose recent tweets contained "panamapapers", 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 3/12/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 13 March 2023 at 22:06 UTC.
The tweets in the network were tweeted over the 2534-day, 2-hour, 29-minute period from Sunday, 03 April 2016 at 20:38 UTC to Sunday, 12 March 2023 at 23:08 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 : panamapapers
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:
[503] #panamaleaks,#panamapapers [475] #mazahirnaqvi,#panamaleaks [423] charged,allegedly [420] icijorg,four [327] guillermo,lasso [318] #umaratabandial,#memogate [316] abogado,guillermo [316] #alerta,abogado [316] lasso,#panamapapers [316] #panamapapers,abogado Top Word Pairs in Tweet in G1:
[417] charged,allegedly [414] icijorg,four [244] four,banking [244] move,millions [244] banking,executives [239] millions,dollars [238] gazprombank's,swiss [238] helping,move [238] arm,charged [238] allegedly,helping Top Word Pairs in Tweet in G2:
[314] guillermo,lasso [313] abogado,cuñado [313] #panamapapers,abogado [313] #alerta,abogado [313] abogado,guillermo [313] cuñado,lasso [313] lasso,#danilocarrera [313] lasso,#panamapapers [312] #danilocarrera,ecarmigni [312] tiemporealec,#alerta Top Word Pairs in Tweet in G3:
[501] #panamaleaks,#panamapapers [473] #mazahirnaqvi,#panamaleaks [316] #umaratabandial,#memogate [310] #damfund,#ijazulahsan [306] #judicialoverreach,#mazahirnaqvi [249] #saqibnisar,#damfund [204] #asifsaeedkhosa,#audioleaks [204] #panamapapers,#saqibnisar [196] #judicialcorruption,#pco [188] #memogate,#asifsaeedkhosa Top Word Pairs in Tweet in G4:
[86] #pandorapapers,#casodanubio [86] #panamápapers,#pandorapapers [80] #narcotráfico,#narcopolíticos [80] #ecuador,#narcotráfico [80] #narcopolíticos,#narcogobierno [79] #corrupción,#panamápapers [79] #narcogobierno,#narcobanquero [79] #narcobanquero,#corrupción [77] #casoencuentro,#elgranpadrino [77] #casodanubio,#casoencuentro Top Word Pairs in Tweet in G5:
[180] بھی,کوئی [150] پورے,پاکستان [150] نوازکی,شکل [150] آرگنائزر,مریم [150] سے,ملتی [150] چیف,آرگنائزر [150] کوئی,پراپرٹی [150] شکل,چورنی [150] میں,تو [150] اپکی,چیف Top Word Pairs in Tweet in G6:
[63] anticorruption,panamapapers [62] julianassange_,wikileaks [62] wikileaks,anticorruption [62] panamapapers,eu_anti_corrupt [62] snowden,julianassange_ [61] eu_anti_corrupt,euantifraud [59] euantifraud,euaci_ukraine [14] euaci_ukraine,aamadamiparty [13] prakash53640534,joinprakashraj [8] euaci_ukraine,snowden Top Word Pairs in Tweet in G7:
[40] panama,papers [35] #corruption,#پاکستان_دشمن_پانچ_کردار [35] #nawazsharif,#corruption [35] political,scandal [35] sharif,major [35] #panamapapers,#nawazsharif [35] nawaz,sharif [35] against,nawaz [35] charges,against [35] corruption,charges Top Word Pairs in Tweet in G8:
[32] geschäften,panamapapers [32] selenskyi,illegalen [32] die,armee [32] illegalen,geschäften [32] ukrainische,medien [31] erkennt,man [31] opferte,wundert [31] krieg,kokainkonsum [31] millionär,krieg [31] panamapapers,mehrfacher Top Word Pairs in Tweet in G9:
[99] synesyfe,one [91] deal,article [91] mates,asked [91] below,ramifications [91] article,below [91] one,mates [91] asked,whole [91] whole,big [91] big,deal [33] #sars,#panamapapers Top Word Pairs in Tweet in G10:
[15] viennent,pleurer [15] #francetelevision,surtout [15] tous,ses [15] tv,#francetelevision [15] pleurer,plateaux [15] #lci,#ukraine [15] plateaux,tv [15] marre,tous [15] #ukrainiens,viennent [15] surtout,#lci Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G10:
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: