The graph represents a network of 19,355 Twitter users whose recent tweets contained "Censorship", 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 Wednesday, 29 September 2021 at 20:38 UTC.
The tweets in the network were tweeted over the 23-hour, 33-minute period from Tuesday, 28 September 2021 at 19:48 UTC to Wednesday, 29 September 2021 at 19:21 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 : 19355
Unique Edges : 22569
Edges With Duplicates : 2344
Total Edges : 24913
Number of Edge Types : 5
Retweet : 13059
Replies to : 3067
Mentions : 3708
Tweet : 2330
MentionsInRetweet : 2749
Self-Loops : 2414
Reciprocated Vertex Pair Ratio : 0.00903571932796838
Reciprocated Edge Ratio : 0.0179096124247936
Connected Components : 2694
Single-Vertex Connected Components : 1220
Maximum Vertices in a Connected Component : 10926
Maximum Edges in a Connected Component : 15448
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 6.670623
Graph Density : 5.72375616686609E-05
Modularity : 0.839873
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 19,355 Twitter users whose recent tweets contained "Censorship", 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 Wednesday, 29 September 2021 at 20:38 UTC.
The tweets in the network were tweeted over the 23-hour, 33-minute period from Tuesday, 28 September 2021 at 19:48 UTC to Wednesday, 29 September 2021 at 19:21 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 : TwitterSearch
Graph Term : Censorship
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:
[1624] pervasive,institutionalized [1618] becomes,more [1618] more,pervasive [1616] censorship,becomes [1333] growth,censorship [1332] don,tweet [1332] tweet,90 [1332] 90,shit [1332] shit,think [1332] think,anymore Top Word Pairs in Tweet in G1:
[1429] more,pervasive [1427] censorship,becomes [1427] becomes,more [1427] pervasive,institutionalized [225] seeking,make [225] make,contact [225] contact,reporters [225] reporters,without [225] without,borders [225] borders,regarding Top Word Pairs in Tweet in G2:
[571] first,amendment [474] federal,government [398] vaccine,misinformation [374] public,health [369] misinformation,censorship [366] cracking,down [365] down,vaccine [364] youtube,cracking [364] censorship,matter [364] matter,public Top Word Pairs in Tweet in G3:
[1333] growth,censorship [1332] don,tweet [1332] tweet,90 [1332] 90,shit [1332] shit,think [1332] think,anymore [1332] anymore,growth [1332] censorship,ask [7] censorship,sure [7] sure,account Top Word Pairs in Tweet in G4:
[43] banned,books [38] social,media [35] anti,vax [34] free,speech [34] books,week [32] youtube,bans [32] bans,anti [31] censorship,campaign [28] covid,censorship [27] language,channels Top Word Pairs in Tweet in G5:
[1071] censorship,bans [1068] current,situation [1068] situation,genshin [1068] genshin,community [1068] community,shown [1068] shown,players [1068] players,discontent [1068] discontent,worldwide [1068] worldwide,mihoyo [1068] mihoyo,shown Top Word Pairs in Tweet in G6:
[104] social,media [85] against,censorship [83] language,channels [82] german,language [81] twitter,accounts [80] fight,against [79] heard,#dogestogetherstrong [79] #dogestogetherstrong,movement [79] movement,#nanodogecoin [79] #nanodogecoin,#daddydogecoin Top Word Pairs in Tweet in G7:
[292] censorship,information [291] information,first [291] first,alarm [291] alarm,powerful [291] powerful,nefarious [291] nefarious,actors [291] actors,planning [291] planning,something [291] something,bad [80] trying,discredit Top Word Pairs in Tweet in G8:
[269] coercive,force [269] force,people [269] truly,creepy [269] creepy,raises [269] questions,efficacy [267] censorship,dissent [267] dissent,truly [267] raises,ton [267] ton,questions [264] pushed,hard Top Word Pairs in Tweet in G9:
[217] private,companies [216] seeing,emergence [216] emergence,type [216] type,state [216] state,media [216] media,private [216] companies,conduct [216] conduct,censorship [216] censorship,operations [216] operations,barred Top Word Pairs in Tweet in G10:
[233] more,online [233] online,censorship [231] employees,media [231] media,corporations [231] corporations,job [231] job,title [231] title,journalist [231] journalist,desperately [231] desperately,agitate [231] agitate,more Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: