The graph represents a network of 4,380 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 Tuesday, 12 November 2019 at 01:56 UTC.
The requested start date was Monday, 11 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 11-day, 3-hour, 40-minute period from Wednesday, 30 October 2019 at 21:20 UTC to Monday, 11 November 2019 at 01:00 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 : 4380
Unique Edges : 5195
Edges With Duplicates : 2859
Total Edges : 8054
Number of Edge Types : 3
Replies to : 404
Tweet : 498
Mentions : 7152
Self-Loops : 498
Reciprocated Vertex Pair Ratio : 0.00839875844440387
Reciprocated Edge Ratio : 0.0166576136157885
Connected Components : 445
Single-Vertex Connected Components : 174
Maximum Vertices in a Connected Component : 2362
Maximum Edges in a Connected Component : 3865
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.760461
Graph Density : 0.000287955904112717
Modularity : 0.663136
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,380 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 Tuesday, 12 November 2019 at 01:56 UTC.
The requested start date was Monday, 11 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 11-day, 3-hour, 40-minute period from Wednesday, 30 October 2019 at 21:20 UTC to Monday, 11 November 2019 at 01:00 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[487] island,near [486] geography,#pakistan [486] #pakistan,style [486] style,tv [486] tv,commentator [486] commentator,explains [486] explains,#panamapapers [486] #panamapapers,claims [486] claims,panama [486] panama,island Top Word Pairs in Tweet in G1:
[483] geography,#pakistan [483] #pakistan,style [483] style,tv [483] tv,commentator [483] commentator,explains [483] explains,#panamapapers [483] #panamapapers,claims [483] claims,panama [483] panama,island [483] island,near Top Word Pairs in Tweet in G2:
[419] planes,tienen [419] tienen,fin [419] fin,semana [419] semana,les [419] les,recomiendo [419] sobre,#panamapapers [419] #panamapapers,espectacular [264] cmonterooficial,quã [264] quã,planes [264] recomiendo,pelã Top Word Pairs in Tweet in G3:
[97] ðÿ,ðÿ [15] sadietnresist,denisedarrer [15] denisedarrer,kodiak149 [15] kodiak149,rhymesradical [15] rhymesradical,scottaeckert [15] scottaeckert,madelanestander [12] madelanestander,rollbarann [11] dellaslongbrown,sadietnresist [9] ð,ð [9] pauldereume,petramccarron2 Top Word Pairs in Tweet in G4:
[291] good,morning [291] morning,new [291] new,york [291] york,another [291] another,international [291] international,money [291] money,laundering [291] laundering,case [291] case,comes [291] comes,southern Top Word Pairs in Tweet in G5:
[92] u,s [55] s,prosecutors [36] #panamapapers,#paradisepapers [34] #offshoreleaks,#panamapapers [34] #paradisepapers,put [34] put,pressure [34] pressure,tax [34] tax,havens [34] havens,update [34] update,policies Top Word Pairs in Tweet in G6:
[104] #varelaleaks,han [104] han,recibido [104] recibido,tanto [104] tanto,despliegue [104] porque,filtraciones [104] filtraciones,fueron [103] xsaezll,#varelaleaks [90] 2010,wikileaks [90] wikileaks,2016 [90] 2016,panamapapers Top Word Pairs in Tweet in G7:
[65] à,à [21] ø,ù [20] ø,ø [12] #panamapapers,#probeijing [11] ù,ø [11] #probeijing,#teresachengyeukwah [11] #teresachengyeukwah,#fugitiveoffendersordinance [11] #fugitiveoffendersordinance,#hongkong [11] #hongkong,#antiusa [11] #antiusa,#taxavoidance Top Word Pairs in Tweet in G8:
[122] email,referred [122] referred,corsi [122] corsi,article [122] article,always [122] always,good [122] good,remind [122] remind,people [122] people,podesta [122] podesta,putin [122] putin,partnership Top Word Pairs in Tweet in G9:
[137] minutes,back [135] #panamapapers,indian [101] #panamapapers,tdk [95] indian,context [84] 1,#panamapapers [84] indian,effect [84] effect,info [84] info,right [84] right,manishtewari [84] manishtewari,20 Top Word Pairs in Tweet in G10:
[107] #lulalivremoropreso,basta [107] basta,lawfare [107] lawfare,américa [107] américa,latina [107] latina,basta [107] basta,periodistas [107] periodistas,medios [107] medios,prensa [107] prensa,cómplice [106] greta_romario,#lulalivremoropreso Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: