The graph represents a network of 5,349 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, 05 October 2020 at 18:06 UTC.
The requested start date was Monday, 05 October 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, 20-hour, 53-minute period from Monday, 21 September 2020 at 00:15 UTC to Sunday, 04 October 2020 at 21:08 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 : 5349
Unique Edges : 3164
Edges With Duplicates : 9419
Total Edges : 12583
Number of Edge Types : 5
Retweet : 4411
MentionsInRetweet : 6147
Replies to : 451
Mentions : 1032
Tweet : 542
Self-Loops : 606
Reciprocated Vertex Pair Ratio : 0.00562879573396534
Reciprocated Edge Ratio : 0.0111945794667845
Connected Components : 530
Single-Vertex Connected Components : 244
Maximum Vertices in a Connected Component : 3640
Maximum Edges in a Connected Component : 9712
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.472514
Graph Density : 0.000237324083392096
Modularity : 0.51167
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 5,349 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, 05 October 2020 at 18:06 UTC.
The requested start date was Monday, 05 October 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, 20-hour, 53-minute period from Monday, 21 September 2020 at 00:15 UTC to Sunday, 04 October 2020 at 21:08 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:
[726] #panamapapers,2016 [722] #paradisepapers,2017 [721] 2017,#panamapapers [719] #fincen,leaks [719] leaks,latest [719] latest,finance [719] finance,corruption [719] corruption,megaleak [719] megaleak,following [719] following,#paradisepapers Top Word Pairs in Tweet in G1:
[122] keith,schembri [85] harald,joachim [84] chief,staff [74] money,laundering [69] foolish,pay [69] pay,taxes [69] taxes,especially [69] especially,impacting [68] icijorg,foolish [64] investigations,#fincenfiles Top Word Pairs in Tweet in G2:
[699] #fincen,leaks [699] leaks,latest [699] latest,finance [699] finance,corruption [699] corruption,megaleak [699] megaleak,following [699] following,#paradisepapers [699] #paradisepapers,2017 [699] 2017,#panamapapers [697] doctorow,#fincen Top Word Pairs in Tweet in G3:
[378] hablando,usd [378] usd,notas [378] notas,aún [378] aún,estamos [378] estamos,esperando [378] esperando,ex [378] ex,presidente [378] presidente,macri [378] macri,responda [378] responda,pasó Top Word Pairs in Tweet in G4:
[47] illicit,financial [47] financial,flows [44] spent,hours [44] hours,phone [44] phone,getting [44] getting,sore [44] sore,neck [44] neck,listening [44] listening,latest [44] latest,#panamapapers Top Word Pairs in Tweet in G5:
[276] allah's,support [276] support,pakistan [276] pakistan,imrankhanpti [276] imrankhanpti,within [276] within,few [276] few,hours [276] hours,speeches [276] speeches,members [276] members,#pdm [274] #pdm,icij Top Word Pairs in Tweet in G6:
[21] panama,papers [7] investigation,sentenced [6] #panamapapers,#paradisepapers [6] sentenced,prison [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:
[28] cuatro,#panamapapers [28] #panamapapers,icijorg [28] icijorg,difunde [28] difunde,#fincenfiles [28] #fincenfiles,nuevo [28] nuevo,trabajo [28] trabajo,colaborativo [28] colaborativo,global [27] halconada,cuatro [27] global,filtra Top Word Pairs in Tweet in G8:
[101] keith,schembri [97] former,top [97] top,government [97] government,adviser [97] rhpsia,icij [96] icij,police [96] police,arrest [96] arrest,keith [96] schembri,malta [96] malta,former Top Word Pairs in Tweet in G9:
[8] fvallejoss,gracias [8] gracias,análisis [8] análisis,thank [8] thank,salhaj [8] salhaj,interesante [8] interesante,very [8] very,interesting [8] interesting,#panamapapers [8] #panamapapers,argentina [8] argentina,sa Top Word Pairs in Tweet in G10:
[28] care,#trumptaxreturns [28] #trumptaxreturns,clintons [28] clintons,bidens [28] bidens,pelosis [28] pelosis,reveal [28] reveal,offshore [19] offshore,assets [12] tadpr0le,nightprowlkitty [12] nightprowlkitty,govpritzker [12] govpritzker,family Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G5:
Top Replied-To in G7:
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:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
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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:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: