The graph represents a network of 5,783 Twitter users whose tweets in the requested range contained "panamapapers", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 28 September 2020 at 18:06 UTC.
The requested start date was Monday, 28 September 2020 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, 22-hour, 3-minute period from Monday, 14 September 2020 at 01:37 UTC to Sunday, 27 September 2020 at 23:40 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 : 5783
Unique Edges : 3099
Edges With Duplicates : 10624
Total Edges : 13723
Number of Edge Types : 5
Retweet : 5001
MentionsInRetweet : 6747
Mentions : 993
Tweet : 529
Replies to : 453
Self-Loops : 608
Reciprocated Vertex Pair Ratio : 0.00572441052201172
Reciprocated Edge Ratio : 0.0113836563219948
Connected Components : 453
Single-Vertex Connected Components : 196
Maximum Vertices in a Connected Component : 4211
Maximum Edges in a Connected Component : 11123
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.691703
Graph Density : 0.000220681654197859
Modularity : 0.509962
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 5,783 Twitter users whose tweets in the requested range contained "panamapapers", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 28 September 2020 at 18:06 UTC.
The requested start date was Monday, 28 September 2020 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, 22-hour, 3-minute period from Monday, 14 September 2020 at 01:37 UTC to Sunday, 27 September 2020 at 23:40 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 : 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:
[718] #paradisepapers,2017 [718] #panamapapers,2016 [717] #fincen,leaks [717] 2017,#panamapapers [715] leaks,latest [715] latest,finance [715] finance,corruption [715] corruption,megaleak [715] megaleak,following [715] following,#paradisepapers Top Word Pairs in Tweet in G1:
[129] investigations,#fincenfiles [113] keith,schembri [104] special,thanks [104] thanks,icij [104] icij,insiders [104] insiders,community [104] community,readers [104] readers,support [104] support,investigations [103] icijorg,special Top Word Pairs in Tweet in G2:
[699] #fincen,leaks [697] leaks,latest [697] latest,finance [697] finance,corruption [697] corruption,megaleak [697] megaleak,following [697] following,#paradisepapers [697] #paradisepapers,2017 [697] 2017,#panamapapers [695] #panamapapers,2016 Top Word Pairs in Tweet in G3:
[448] allah's,support [448] support,pakistan [448] pakistan,imrankhanpti [448] imrankhanpti,within [448] within,few [448] few,hours [448] hours,speeches [448] speeches,members [448] members,#pdm [445] #pdm,icij Top Word Pairs in Tweet in G4:
[357] hablando,usd [357] usd,notas [357] notas,aún [357] aún,estamos [357] estamos,esperando [357] esperando,ex [357] ex,presidente [357] presidente,macri [357] macri,responda [357] responda,pasó Top Word Pairs in Tweet in G5:
[84] #panamapapers,#luandaleaks [83] come,#fincenfiles [76] #luandaleaks,#chinacables [76] #chinacables,come [76] #fincenfiles,stay [76] stay,tuned [76] tuned,sz [76] f_obermaier,#panamapapers [44] spent,hours [44] hours,phone Top Word Pairs in Tweet in G6:
[14] panama,papers [10] #panamapapers,#paradisepapers [8] ल,क [5] पन,म [5] swiss,leaks [5] leaks,panama [5] papers,sars [5] sars,bank [5] bank,reports [5] reports,alert Top Word Pairs in Tweet in G7:
[17] name,#panamapapers [14] #bachchan,family [14] family,traitor [14] traitor,family [14] family,family's [14] family's,name [12] ji,#panamapapers [12] officeofdgp,srbachchan [12] both,husband [12] husband,wife Top Word Pairs in Tweet in G8:
[170] compagne,#jadot [170] #jadot,isabelle [170] isabelle,#saporta [170] #saporta,vient [170] vient,d'être [170] d'être,embauchée [170] embauchée,par [170] par,#grandesgueules [170] #grandesgueules,dégommer [170] dégommer,#mélenchon Top Word Pairs in Tweet in G9:
[105] keith,schembri [100] rhpsia,icij [100] former,top [100] top,government [100] government,adviser [98] icij,police [98] police,arrest [98] arrest,keith [98] schembri,malta [98] malta,former Top Word Pairs in Tweet in G10:
[77] #panamapapers,llegan [77] llegan,#fincenfiles [77] #fincenfiles,primeras [77] primeras,entregas [61] entregas,reportajes [61] reportajes,comienzan [60] quintoelab,#panamapapers [46] creadores,#panamapapers [46] #panamapapers,espera [46] espera,domingo Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: