The graph represents a network of 3,376 Twitter users whose recent tweets contained "auspol", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/15/2023 5:00:35 PM. The network was obtained from Twitter on Thursday, 16 February 2023 at 15:45 UTC.
The tweets in the network were tweeted over the 2472-day, 17-hour, 44-minute period from Tuesday, 10 May 2016 at 07:15 UTC to Thursday, 16 February 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 3376
Unique Edges : 2805
Edges With Duplicates : 10869
Total Edges : 13674
Number of Edge Types : 9
MentionsInReplyTo : 1720
Replies to : 480
Retweet : 3848
MentionsInRetweet : 5348
Tweet : 874
Quote : 346
Mentions : 649
MentionsInQuote : 248
MentionsInQuoteReply : 161
Self-Loops : 1101
Reciprocated Vertex Pair Ratio : 0.00921867915974006
Reciprocated Edge Ratio : 0.0182689427972447
Connected Components : 194
Single-Vertex Connected Components : 90
Maximum Vertices in a Connected Component : 2974
Maximum Edges in a Connected Component : 13038
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.42431
Graph Density : 0.00058609794628752
Modularity : 0.352485
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,376 Twitter users whose recent tweets contained "auspol", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/15/2023 5:00:35 PM. The network was obtained from Twitter on Thursday, 16 February 2023 at 15:45 UTC.
The tweets in the network were tweeted over the 2472-day, 17-hour, 44-minute period from Tuesday, 10 May 2016 at 07:15 UTC to Thursday, 16 February 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : auspol
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:
[235] affordable,housing [226] greens,party [111] billshortenmp,lindareynoldswa [107] lindareynoldswa,seriously [107] seriously,suggesting [107] providers,defrauding [107] deal,doesn [107] dodgy,ndis [107] big,deal [107] ndis,providers Top Word Pairs in Tweet in G1:
[198] affordable,housing [189] greens,party [101] billshortenmp,lindareynoldswa [99] defrauding,participants [99] deal,doesn [99] providers,defrauding [99] participants,big [99] suggesting,dodgy [99] seriously,suggesting [99] dodgy,ndis Top Word Pairs in Tweet in G2:
[52] terrible,greens [52] vote,coalition [51] greens,vote [51] tanya_plibersek,pontificate [51] pontificate,terrible [51] hypocritical,tanya_plibersek [50] christinemilne,hypocritical [50] coal,gas [34] emissions,reduction [32] greens,adambandt Top Word Pairs in Tweet in G3:
[27] #lnpcorruptionparty,#lnpneveragain [26] #nswpol,#nswvotes [24] #nswvotes,#nsw [24] #lnpneveragain,#nswpol [24] insidersabc,abcnews [24] #auspol,#lnpcorruptionparty [24] #nsw,#murdochroyalcommission [23] twitter,account [19] #nswpol,#auspol [15] breakfastnews,abcnews Top Word Pairs in Tweet in G4:
[22] matt,canavan [22] feb,2023 [20] 45,aedst [20] 23,10 [20] morning,australia [20] needs,23 [20] courtesy,coal [20] 21,current [20] 2023,75 [20] australia,45 Top Word Pairs in Tweet in G5:
[42] methods,those [42] pwc,working [42] methods,leaked [42] tax,avoidance [42] leaked,companies [42] those,methods [42] working,ato [42] avoidance,methods [42] ato,tax [42] companies,interested Top Word Pairs in Tweet in G6:
[38] political,commentary [37] public,holiday [37] anzac,day [36] kicks,goal [36] house,workplace [36] goal,over [36] barnaby,joyce [36] holiday,tony [36] explains,house [36] burke,explains Top Word Pairs in Tweet in G7:
[27] targeted,ads [27] erase,data [27] under,proposed [27] opt,targeted [27] proposed,privacy [27] privacy,reforms [27] australians,opt [27] ads,erase [27] data,under [21] reforms,latest Top Word Pairs in Tweet in G8:
[23] ctvnews,vassykapelos [20] cbcnews,globalnews [20] vassykapelos,cbcnews [20] kady,leonaalleslev [20] davidlametti,ctvnews [19] uspoli,pnpcbc [19] pnpcbc,skpoli [19] skpoli,ctvpp [19] cdnpoli,polcan [19] eupol,nzpol Top Word Pairs in Tweet in G9:
[29] public,interest [29] greater,protection [29] interest,disclosure [29] amendment,public [29] disclosure,act [29] proposed,amendment [29] protection,whistleblowers [29] act,give [29] give,greater [28] whistleblowers,journal Top Word Pairs in Tweet in G10:
[31] including,abc [31] prime,minister [31] alternate,prime [30] plans,again [30] threaten,vote [30] reduction,plans [30] emissions,reduction [30] action,join [30] vote,against [30] again,greens Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G3:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: