The graph represents a network of 2,143 Twitter users whose tweets in the requested range contained "antipiracy", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 06 November 2019 at 15:35 UTC.
The requested start date was Wednesday, 06 November 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 96-day, 16-hour, 21-minute period from Thursday, 01 August 2019 at 00:17 UTC to Tuesday, 05 November 2019 at 16:39 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 : 2143
Unique Edges : 2517
Edges With Duplicates : 569
Total Edges : 3086
Number of Edge Types : 3
Mentions : 2662
Tweet : 274
Replies to : 150
Self-Loops : 274
Reciprocated Vertex Pair Ratio : 0.00667976424361493
Reciprocated Edge Ratio : 0.0132708821233411
Connected Components : 210
Single-Vertex Connected Components : 100
Maximum Vertices in a Connected Component : 1286
Maximum Edges in a Connected Component : 1924
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.884267
Graph Density : 0.000558132725792137
Modularity : 0.664666
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 2,143 Twitter users whose tweets in the requested range contained "antipiracy", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 06 November 2019 at 15:35 UTC.
The requested start date was Wednesday, 06 November 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 96-day, 16-hour, 21-minute period from Thursday, 01 August 2019 at 00:17 UTC to Tuesday, 05 November 2019 at 16:39 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 : antipiracy
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:
[1307] anti,piracy [1239] piracy,team [1239] team,e [1239] e,mailing [1238] mailing,links [1238] links,#bigil [1238] #bigil,movie [1238] movie,uploaded [1238] uploaded,antipiracy [1197] part,anti Top Word Pairs in Tweet in G1:
[840] part,anti [840] anti,piracy [840] piracy,team [840] team,e [840] e,mailing [840] mailing,links [840] links,#bigil [840] #bigil,movie [840] movie,uploaded [840] uploaded,antipiracy Top Word Pairs in Tweet in G2:
[234] antipiracy,aiplex [234] aiplex,com [226] #realpailwaan,one [226] one,stops [226] stops,piracy [226] piracy,come [226] come,guys [226] guys,pirated [226] pirated,links [226] links,noticed Top Word Pairs in Tweet in G3:
[375] anti,piracy [375] piracy,team [375] team,e [375] e,mailing [375] mailing,links [375] links,#bigil [375] #bigil,movie [375] movie,uploaded [374] uploaded,antipiracy [334] part,anti Top Word Pairs in Tweet in G4:
[65] piracy,links [58] antipiracy,massbunk [55] links,antipiracy [47] bakrid,piracy [45] report,bakrid [45] massbunk,#bakrid_from_aug_23 [45] #bakrid_from_aug_23,#say_no_to_movie_piracy [39] mb_antipiracy,report [37] #say_no_to_movie_piracy,#m10_productions [13] tfpc_antipiracy,boneykapoor Top Word Pairs in Tweet in G5:
[34] anti,piracy [15] 20,20 [14] pace,anti [14] piracy,inc [11] inc,announces [11] announces,support [11] support,apple [11] apple,notarization [11] notarization,required [11] required,macos Top Word Pairs in Tweet in G6:
[44] government,fund [44] fund,nigerian [44] nigerian,cloud [44] cloud,store [44] store,ll [44] ll,distribute [44] distribute,archive [44] archive,catalogues [44] catalogues,antipiracy [44] antipiracy,laws Top Word Pairs in Tweet in G7:
[3] ags_production,archanakalpathi [3] antipiracy,agscinemas [3] dinu_ajith57,maams [3] maams,na [3] na,live [3] live,stream [3] stream,panren [3] panren,join [3] join,pannirungoo [3] pannirungoo,intha Top Word Pairs in Tweet in G8:
[18] latest,tool [18] tool,#antipiracy [18] #antipiracy,toolkit [18] toolkit,mediastalker1 [18] mediastalker1,read [18] piracy,antidote [18] antidote,dimdrandakis [17] license,compliance [15] jaypalter,latest [15] compliance,summit Top Word Pairs in Tweet in G9:
[13] anti,piracy [11] piracy,services [7] proven,anti [7] services,incorporate [7] incorporate,#ai [7] #ai,#machinelearning [7] #machinelearning,combat [7] combat,video [7] video,piracy [5] vo's,expert Top Word Pairs in Tweet in G10:
[2] fbi,#antipiracy [2] fbi,antipiracy Top Replied-To in Entire Graph:
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 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: