The graph represents a network of 983 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 Friday, 25 October 2019 at 14:35 UTC.
The requested start date was Wednesday, 23 October 2019 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 82-day, 18-hour, 44-minute period from Thursday, 01 August 2019 at 00:17 UTC to Tuesday, 22 October 2019 at 19:01 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 : 983
Unique Edges : 1157
Edges With Duplicates : 450
Total Edges : 1607
Number of Edge Types : 3
Mentions : 1264
Tweet : 223
Replies to : 120
Self-Loops : 223
Reciprocated Vertex Pair Ratio : 0.0119352088661552
Reciprocated Edge Ratio : 0.0235888795282224
Connected Components : 183
Single-Vertex Connected Components : 84
Maximum Vertices in a Connected Component : 322
Maximum Edges in a Connected Component : 512
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.672067
Graph Density : 0.0012296618895977
Modularity : 0.655214
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 983 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 Friday, 25 October 2019 at 14:35 UTC.
The requested start date was Wednesday, 23 October 2019 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 82-day, 18-hour, 44-minute period from Thursday, 01 August 2019 at 00:17 UTC to Tuesday, 22 October 2019 at 19:01 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:
[238] antipiracy,aiplex [237] aiplex,com [231] pirated,links [229] #realpailwaan,one [229] one,stops [229] stops,piracy [229] piracy,come [229] come,guys [229] guys,pirated [229] links,noticed Top Word Pairs in Tweet in G1:
[201] antipiracy,aiplex [201] aiplex,com [199] #realpailwaan,one [199] one,stops [199] stops,piracy [199] piracy,come [199] come,guys [199] guys,pirated [199] pirated,links [199] links,noticed Top Word Pairs in Tweet in G2:
[59] piracy,links [54] links,antipiracy [54] antipiracy,massbunk [46] bakrid,piracy [44] report,bakrid [44] massbunk,#bakrid_from_aug_23 [44] #bakrid_from_aug_23,#say_no_to_movie_piracy [37] mb_antipiracy,report [36] #say_no_to_movie_piracy,#m10_productions [13] tfpc_antipiracy,boneykapoor Top Word Pairs in Tweet in G3:
[26] anti,piracy [14] pace,anti [14] piracy,inc [13] 20,20 [11] inc,announces [11] announces,support [11] support,apple [11] apple,notarization [11] notarization,required [11] required,macos Top Word Pairs in Tweet in G4:
[73] stop,antipiracy [73] antipiracy,#reportpailwaanpiracy [73] #reportpailwaanpiracy,8978560014 [73] 8978560014,spread [60] spread,word [43] #pailwaan,stop [43] word,sudeepians [42] pailwaanmovie,#pailwaan [30] #pailwaan,requesting [30] requesting,beloved Top Word Pairs in Tweet in G5:
[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 G6:
[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 G7:
[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 G8:
[11] anti,piracy [9] piracy,services [5] vo's,expert [5] expert,team [5] team,uses [5] uses,proven [5] proven,anti [5] services,incorporate [5] incorporate,#ai [5] #ai,#machinelearning Top Word Pairs in Tweet in G9:
[10] ragul_kl,ashokroy12 [10] ashokroy12,hvinothfansclub [10] hvinothfansclub,thisisysr [10] thisisysr,sureshchandraa [10] sureshchandraa,dayanthanthala [10] dayanthanthala,nazriya4u_ [10] nazriya4u_,nayantharau [7] chikadhee,ragul_kl [7] nayantharau,report [6] report,tfpâ Top Word Pairs in Tweet in G10:
[2] fbi,#antipiracy [2] fbi,antipiracy 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 G6:
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:
Top Mentioned in G6:
Top Mentioned in G7:
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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: