The graph represents a network of 1,795 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 November 2022 at 22:01 UTC.
The requested start date was Monday, 28 November 2022 at 01:01 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 11-day, 14-hour, 20-minute period from Monday, 14 November 2022 at 07:13 UTC to Friday, 25 November 2022 at 21:33 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 : 1795
Unique Edges : 1048
Edges With Duplicates : 3012
Total Edges : 4060
Number of Edge Types : 5
Retweet : 1058
MentionsInRetweet : 1647
Replies to : 324
Mentions : 917
Tweet : 114
Self-Loops : 191
Reciprocated Vertex Pair Ratio : 0.012518054886856
Reciprocated Edge Ratio : 0.0247265810746553
Connected Components : 181
Single-Vertex Connected Components : 51
Maximum Vertices in a Connected Component : 415
Maximum Edges in a Connected Component : 1172
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 2.435688
Graph Density : 0.000653058942994755
Modularity : 0.494258
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,795 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 November 2022 at 22:01 UTC.
The requested start date was Monday, 28 November 2022 at 01:01 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 11-day, 14-hour, 20-minute period from Monday, 14 November 2022 at 07:13 UTC to Friday, 25 November 2022 at 21:33 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:
[412] panamá,lavan [412] probaron,#panamápapers [412] impuestos,muchos [412] evaden,impuestos [412] lavan,dólares [412] colombianos,quejan [412] muchos,colombianos [412] dólares,evaden [412] #panamápapers,panamá [411] gustavobolivar,probaron Top Word Pairs in Tweet in G1:
[412] lavan,dólares [412] colombianos,quejan [412] panamá,lavan [412] evaden,impuestos [412] dólares,evaden [412] impuestos,muchos [412] probaron,#panamápapers [412] #panamápapers,panamá [412] muchos,colombianos [411] gustavobolivar,probaron Top Word Pairs in Tweet in G2:
[274] #bolivianos,#lapaz [274] #santacruzbo,#bolivianos [270] #elalto,#racismo [270] #lapaz,#elalto [258] #racismo,#corrupcion [249] #bolivia,#santacruzbo [244] #corrupcion,#panamapapers [227] #panamapapers,#itemsfantasmas [216] #itemsfantasmas,#beni [194] #beni,#cobija Top Word Pairs in Tweet in G3:
[59] #panamapapers,knox [56] 200,million [54] tory,donor [54] exposed,part [54] part,#panamapapers [53] donor,companies [53] million,tory [53] companies,exposed [53] david__osland,200 [52] tweetforthemany,david__osland Top Word Pairs in Tweet in G4:
[11] government,appointing [11] education,sindh [11] policy,instead [11] recruitment,policy [11] sindh,government [11] minister,education [11] candidates,revising [11] fail,candidates [11] appointing,fail [11] revising,recruitment Top Word Pairs in Tweet in G5:
[73] #pakistan,#parklaneflats [73] #panamapapers,#pakistan [72] کے,فلیٹس [72] ب,کے [72] گئے,کب [72] لندن,کے [72] خریدے,گئے [72] کب,خریدے [72] فلیٹس,کب [72] کے,#panamapapers Top Word Pairs in Tweet in G6:
[67] word,gefinancierd [67] vanaf,zuidas [67] door,igor [67] dam,kolomoisky [67] #azov,nazi [67] igor,kolomoisky [67] 24,14 [67] zuidas,dam [67] 14,#azov [67] bataljon,word Top Word Pairs in Tweet in G7:
[5] cameroon,vs [5] vs,panama [4] money,laundering [4] #panamapapers,#pandorapapers [3] wib,link [3] friendly,match [3] #qatar,#qatarworldcup2022 [3] #qatar2022,#qatar [3] match,cameroon [3] aux,#panamapapers Top Word Pairs in Tweet in G8:
[3] billions,wasted [3] oil,giants [3] cat,bankers [3] panama,#panamapapers [3] wasted,fat [3] fat,cat [3] clear,affordable [3] bonusses,oil [3] let's,clear [3] skynews,let's Top Word Pairs in Tweet in G9:
[34] worlds,largest [34] sharif's,corruption [34] corruption,scandal [34] govt,accept [34] oppositions,tors [34] exposed,sharif's [34] scandal,exposed [34] #panamapapers,worlds [34] largest,corruption [34] accept,oppositions Top Word Pairs in Tweet in G10:
[25] réagis,lobs [25] braquaient,hôpitaux [25] ils,braquaient [25] lobs,procès [25] comme,ils [25] fiscale,comme [25] hôpitaux,réagis [25] pratiquent,évasion [25] ceux,pratiquent [25] évasion,fiscale 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 G8:
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: