The graph represents a network of 1,964 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, 25 December 2019 at 18:36 UTC.
The requested start date was Wednesday, 25 December 2019 at 13:27 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 84-day, 8-hour, 42-minute period from Tuesday, 01 October 2019 at 17:28 UTC to Wednesday, 25 December 2019 at 02:11 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 : 1964
Unique Edges : 2298
Edges With Duplicates : 329
Total Edges : 2627
Number of Edge Types : 4
Mentions : 311
Replies to : 103
Tweet : 247
MentionsInRetweet : 1966
Self-Loops : 247
Reciprocated Vertex Pair Ratio : 0.00354452813469207
Reciprocated Edge Ratio : 0.00706401766004415
Connected Components : 197
Single-Vertex Connected Components : 94
Maximum Vertices in a Connected Component : 1324
Maximum Edges in a Connected Component : 1790
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.045027
Graph Density : 0.000587498041673194
Modularity : 0.681664
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 1,964 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, 25 December 2019 at 18:36 UTC.
The requested start date was Wednesday, 25 December 2019 at 13:27 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 84-day, 8-hour, 42-minute period from Tuesday, 01 October 2019 at 17:28 UTC to Wednesday, 25 December 2019 at 02:11 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1293] anti,piracy [1248] piracy,team [1248] team,mailing [1247] mailing,links [1247] links,#bigil [1247] #bigil,movie [1247] movie,uploaded [1247] uploaded,antipiracy [1206] part,anti [1058] antipiracy,agscinemas Top Word Pairs in Tweet in G1:
[849] part,anti [849] anti,piracy [849] piracy,team [849] team,mailing [849] mailing,links [849] links,#bigil [849] #bigil,movie [849] movie,uploaded [849] uploaded,antipiracy [844] antipiracy,agscinemas Top Word Pairs in Tweet in G2:
[373] anti,piracy [373] piracy,team [373] team,mailing [373] mailing,links [373] links,#bigil [373] #bigil,movie [373] movie,uploaded [372] uploaded,antipiracy [332] part,anti [193] antipiracy,agscinemas Top Word Pairs in Tweet in G3:
[268] piracy,let's [268] let's,fight [268] fight,against [268] against,piracy [268] piracy,report [268] report,pirated [268] pirated,contents [195] contents,#mamangam [175] #mamangam,email [104] email,reportmamangampi Top Word Pairs in Tweet in G4:
[11] vishalkofficial,tamannaahspeaks [11] tamannaahspeaks,hiphoptamizha [11] galattadotcom,behindwoods [10] antipiracy,agscinemas [10] hiphoptamizha,galattadotcom [7] க,க [6] part,anti [6] anti,piracy [6] piracy,team [6] team,mailing Top Word Pairs in Tweet in G5:
[33] anti,piracy [11] pace,anti [11] 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:
[46] camp_lemonnier,djibouti [46] djibouti,military [46] military,base [46] base,africa [46] africa,vital [46] vital,counterterrorism [46] counterterrorism,antipiracy [45] marshablackburn,camp_lemonnier [45] antipiracy,regi Top Word Pairs in Tweet in G7:
[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 G8:
[14] improved,360 [14] 360,degree [14] degree,vessel [14] vessel,protection [14] protection,talos [14] talos,system [14] system,combines [14] combines,suite [14] suite,bespoke [14] bespoke,security Top Word Pairs in Tweet in G9:
[33] combined,#indiannavy [33] #indiannavy,#rufn [33] #rufn,#boarding [33] #boarding,team [33] team,conducted [33] conducted,boarding [33] boarding,exercise [33] exercise,train [33] train,#antipiracy [33] #antipiracy,operations Top Word Pairs in Tweet in G10:
[2] dear,fbi [2] fbi,#antipiracy Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G5:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: