The graph represents a network of 17,451 Twitter users whose recent tweets contained "Article 13", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 25 March 2019 at 18:51 UTC.
The tweets in the network were tweeted over the 3-day, 16-hour, 29-minute period from Thursday, 21 March 2019 at 23:34 UTC to Monday, 25 March 2019 at 16:03 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 : 17451
Unique Edges : 21960
Edges With Duplicates : 4625
Total Edges : 26585
Self-Loops : 4260
Reciprocated Vertex Pair Ratio : 0.0104955690875786
Reciprocated Edge Ratio : 0.0207731125373573
Connected Components : 3500
Single-Vertex Connected Components : 2068
Maximum Vertices in a Connected Component : 8414
Maximum Edges in a Connected Component : 15718
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.239099
Graph Density : 6.702680727486E-05
Modularity : 0.73086
NodeXL Version : 1.0.1.410
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[8028] article,13 [1424] 13,rap [1297] against,article [1219] grandayy,article [1216] need,hear [1207] robocopyright,grandayy [1207] rap,need [1207] hear,weekend [1205] ytcreators,robocopyright [871] copyright,directive Top Word Pairs in Tweet in G1:
[2534] article,13 [1342] 13,rap [1192] grandayy,article [1182] robocopyright,grandayy [1182] rap,need [1182] need,hear [1182] hear,weekend [1181] ytcreators,robocopyright [663] against,article [645] people,protesting Top Word Pairs in Tweet in G2:
[941] article,13 [165] against,article [90] t,co [77] https,t [71] political,party [70] out,against [69] key,polish [69] polish,political [69] party,comes [69] comes,out Top Word Pairs in Tweet in G3:
[2274] article,13 [494] copyright,directive [303] against,article [217] political,party [196] 13,come [195] bots,opposition [195] opposition,article [195] come,automated [195] automated,bots [195] bots,real Top Word Pairs in Tweet in G4:
[548] article,13 [430] eu,copyright [406] know,article [405] 13,proposed [404] proposed,eu [404] copyright,rule [404] rule,forces [404] forces,platforms [404] platforms,police [404] police,uploads Top Word Pairs in Tweet in G5:
[283] l'article,13 [277] mentre,milers [277] milers,joves [277] joves,alemanys [277] alemanys,prenen [277] prenen,els [277] els,carrers [277] carrers,per [277] per,protestar [277] protestar,contra Top Word Pairs in Tweet in G6:
[242] 13,299 [242] general,election [241] received,13 [241] 299,votes [240] 2017,general [239] emma,little [239] little,pengelly [239] pengelly,little_pengelly [239] little_pengelly,dup [239] dup,received Top Word Pairs in Tweet in G7:
[291] 総理大臣がウソをつき放題で,東京の大手メディアがそれを批判せずウソに寄り添い [291] 東京の大手メディアがそれを批判せずウソに寄り添い,各大臣や官僚もそれに倣ってウソを垂れ流す状況は [291] 各大臣や官僚もそれに倣ってウソを垂れ流す状況は,もう終わりにしないとだめだろう [291] もう終わりにしないとだめだろう,ウソを事実のようにメディアが報じ [291] ウソを事実のようにメディアが報じ,国策を援護した時代が80年前にあったが [290] mas__yamazaki,総理大臣がウソをつき放題で [290] 国策を援護した時代が80年前にあったが,それで国 [7] マイナンバーカード,全病院で保険証に [7] 全病院で保険証に,21年3月から [7] 21年3月から,日本経済新聞 Top Word Pairs in Tweet in G8:
[269] germany,against [265] merkel,s [265] s,party [265] party,blames [265] blames,usa [265] usa,nationwide [265] nationwide,protests [265] against,internet [265] internet,censorship [260] protests,germany Top Word Pairs in Tweet in G9:
[280] article,13 [243] copyright,reform [240] everyday,creators [240] creators,viewers [240] viewers,come [240] come,together [240] together,amazing [240] amazing,things [240] things,twitch [240] twitch,article Top Word Pairs in Tweet in G10:
[82] 5,things [82] things,delighted [82] delighted,episodes [82] episodes,13 [82] 13,14 [82] 14,#touchyourheart [81] soompi,5 [63] https,t [63] t,co [48] many,good Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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