The graph represents a network of 1,865 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 Saturday, 09 November 2019 at 15:37 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 65-day, 7-hour, 13-minute period from Sunday, 01 September 2019 at 09:25 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 : 1865
Unique Edges : 2033
Edges With Duplicates : 368
Total Edges : 2401
Number of Edge Types : 3
Mentions : 2111
Tweet : 194
Replies to : 96
Self-Loops : 194
Reciprocated Vertex Pair Ratio : 0.00439024390243902
Reciprocated Edge Ratio : 0.00874210781932977
Connected Components : 160
Single-Vertex Connected Components : 79
Maximum Vertices in a Connected Component : 1147
Maximum Edges in a Connected Component : 1476
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.505815
Graph Density : 0.000592286184399774
Modularity : 0.631884
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,865 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 Saturday, 09 November 2019 at 15:37 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 65-day, 7-hour, 13-minute period from Sunday, 01 September 2019 at 09:25 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:
[1287] 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:
[224] antipiracy,aiplex [224] aiplex,com [222] #realpailwaan,one [222] one,stops [222] stops,piracy [222] piracy,come [222] come,guys [222] guys,pirated [222] pirated,links [222] links,noticed Top Word Pairs in Tweet in G3:
[373] anti,piracy [373] piracy,team [373] team,e [373] e,mailing [373] mailing,links [373] links,#bigil [373] #bigil,movie [373] movie,uploaded [372] uploaded,antipiracy [332] part,anti Top Word Pairs in Tweet in G4:
[15] piracy,links [13] antipiracy,massbunk [10] report,sivappu [10] sivappu,manjal [10] manjal,pachai [10] pachai,piracy [10] links,antipiracy [10] massbunk,#smp_from_sep_6 [10] #smp_from_sep_6,#say_no_to_movie_piracy [10] mb_antipiracy,report Top Word Pairs in Tweet in G5:
[31] anti,piracy [14] pace,anti [14] piracy,inc [11] inc,announces [11] announces,support [11] support,apple [11] apple,notarization [11] notarization,required [11] required,macos [11] macos,catalina 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:
[10] antipiracy,aiplex [10] aiplex,com [6] antipiracy,team [4] kicchasudeep,krisshdop [4] iswapnakrishna,#realpailwaan [4] #realpailwaan,one [4] one,stops [4] stops,piracy [4] piracy,come [4] come,guys Top Word Pairs in Tweet in G8:
[12] latest,tool [12] tool,#antipiracy [12] #antipiracy,toolkit [12] toolkit,mediastalker1 [12] mediastalker1,read [12] piracy,antidote [12] antidote,dimdrandakis [11] license,compliance [10] jaypalter,latest [10] 6th,annual Top Word Pairs in Tweet in G9:
[2] fbi,#antipiracy [2] fbi,antipiracy Top Word Pairs in Tweet in G10:
[7] passionate,innovation [7] innovation,technology [7] technology,growing [7] growing,fast [7] fast,looking [7] looking,tech [7] tech,profiles [7] profiles,join [6] assetssafe,passionate [6] join,team 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 G7:
Top Replied-To in G9:
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: