The graph represents a network of 7,267 Twitter users whose recent tweets contained "auspol", 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, 27 April 2022 at 11:58 UTC.
The tweets in the network were tweeted over the 4-hour, 2-minute period from Wednesday, 27 April 2022 at 06:50 UTC to Wednesday, 27 April 2022 at 10:53 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 : 7267
Unique Edges : 22593
Edges With Duplicates : 10190
Total Edges : 32783
Number of Edge Types : 5
Replies to : 2011
Mentions : 2859
Retweet : 15263
MentionsInRetweet : 10336
Tweet : 2314
Self-Loops : 2397
Reciprocated Vertex Pair Ratio : 0.00444115470022206
Reciprocated Edge Ratio : 0.00884303610906411
Connected Components : 397
Single-Vertex Connected Components : 278
Maximum Vertices in a Connected Component : 6675
Maximum Edges in a Connected Component : 32084
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.913192
Graph Density : 0.000462595921042569
Modularity : 0.404769
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,267 Twitter users whose recent tweets contained "auspol", 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, 27 April 2022 at 11:58 UTC.
The tweets in the network were tweeted over the 4-hour, 2-minute period from Wednesday, 27 April 2022 at 06:50 UTC to Wednesday, 27 April 2022 at 10:53 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 : 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:
[3563] #auspol,#ausvotes [1328] scott,morrison [777] #ausvotes,#auspol [777] climate,change [766] #ausvotes,#ausvotes2022 [699] net,zero [657] one,thing [649] very,little [639] #humanitycomesfirst,world [639] world,focuses Top Word Pairs in Tweet in G1:
[1593] #auspol,#ausvotes [433] scott,morrison [350] #ausvotes,#ausvotes2022 [299] #auspol,#ausvotes2022 [264] #ausvotes,#auspol [252] #abc730,#auspol [252] tim,wilson [248] climate,change [241] #prayerroom,#auspol [241] net,zero Top Word Pairs in Tweet in G2:
[533] #auspol,#ausvotes [481] scott,morrison [163] prime,minister [151] trillion,dollars [151] dollars,debt [149] economic,plan [146] interest,rates [145] morrison,government [139] carbon,tax [137] net,zero Top Word Pairs in Tweet in G3:
[507] #auspol,#ausvotes [237] candidates,forum [219] net,zero [209] forum,tonight [196] #auspol,#kooyongvotes [191] scott,morrison [146] matt,canavan [144] liberal,party [139] empty,chair [136] fund,coal Top Word Pairs in Tweet in G4:
[639] #humanitycomesfirst,world [639] world,focuses [639] focuses,#ukraine [639] #ukraine,urge [639] amp,members [639] tigray,region [639] region,cut [639] cut,world [639] world,very [639] very,little Top Word Pairs in Tweet in G5:
[328] one,thing [328] peterdutton_mp,#auspol [327] ready,#dickson [327] #dickson,community [327] community,candidates [327] candidates,debate [327] debate,one [327] thing,missing [327] missing,opponent [327] opponent,peterdutton_mp Top Word Pairs in Tweet in G6:
[105] #auspol,#ausvotes [69] state,environment [69] environment,report [68] scottmorrisonmp,refusing [67] refusing,release [67] release,state [67] australians,deserve [67] deserve,know [67] #lnp,#auspol [66] journalist,asked Top Word Pairs in Tweet in G7:
[201] #auspol,#ausvotes [157] aged,care [96] mt,morgan [85] need,amp [84] hard,take [84] take,josh [84] josh,seriously [84] seriously,talks [84] talks,profligacy [84] profligacy,others Top Word Pairs in Tweet in G8:
[53] #auspol,#ausvotes [18] #ausvotes,#ausvotes2022 [15] #ausvotes,#auspol [13] #auspol,#ausvotes2022 [12] racist,afl [8] #wapol,#auspol [7] #olympics,#fifawwc [6] #auspol,#auspol2022 [6] #ausvotes2022,#ausvotes22 [6] #ausvotes2022,#auspol Top Word Pairs in Tweet in G9:
[189] climate,change [172] sky,news [172] news,bondi [172] bondi,beach [172] beach,never [172] never,flood [172] flood,climate [172] change,hold [172] hold,beer [172] beer,#auspol Top Word Pairs in Tweet in G10:
[56] climate,change [53] head,national [53] national,intelligence [53] intelligence,andrew [53] andrew,shearer [53] shearer,australia [53] australia,known [53] known,chinese [53] chinese,plans [53] plans,move 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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Top Tweeters in G10: