The graph represents a network of 4,148 Twitter users whose tweets in the requested range contained "auspol", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 30 December 2021 at 15:14 UTC.
The requested start date was Thursday, 30 December 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 0-hour, 58-minute period from Monday, 27 December 2021 at 21:59 UTC to Wednesday, 29 December 2021 at 22:57 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 : 4148
Unique Edges : 3086
Edges With Duplicates : 13920
Total Edges : 17006
Number of Edge Types : 5
Retweet : 6197
MentionsInRetweet : 7728
Replies to : 434
Tweet : 1444
Mentions : 1203
Self-Loops : 1481
Reciprocated Vertex Pair Ratio : 0.00302536653479172
Reciprocated Edge Ratio : 0.00603248259860789
Connected Components : 238
Single-Vertex Connected Components : 176
Maximum Vertices in a Connected Component : 3813
Maximum Edges in a Connected Component : 16528
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.295593
Graph Density : 0.000501111630696308
Modularity : 0.332338
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,148 Twitter users whose tweets in the requested range contained "auspol", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 30 December 2021 at 15:14 UTC.
The requested start date was Thursday, 30 December 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 0-hour, 58-minute period from Monday, 27 December 2021 at 21:59 UTC to Wednesday, 29 December 2021 at 22:57 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 : 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:
[571] scott,morrison [321] 11,201 [302] rapid,antigen [272] dominic,perrottet [264] december,nsw [229] antigen,tests [216] prime,minister [152] nsw,11 [151] 29,december [150] 201,vic Top Word Pairs in Tweet in G1:
[105] scott,morrison [91] north,queensland [72] palm,island [71] read,yesterday [71] yesterday,portable [71] portable,morgue [71] morgue,delivered [71] delivered,palm [71] island,north [71] queensland,please Top Word Pairs in Tweet in G2:
[172] scott,morrison [135] 11,201 [101] dominic,perrottet [80] prime,minister [69] albomp,win [63] ok,rumors [63] rumors,scott [63] morrison,skipped [63] skipped,country [63] country,aspen Top Word Pairs in Tweet in G3:
[60] scott,morrison [47] #auspol,#nswpol [35] joshfrydenberg,sunriseon7 [32] #nswpol,#auspol [32] prime,minister [32] omg,joshfrydenberg [32] sunriseon7,going [32] going,join [32] join,border [32] border,wars Top Word Pairs in Tweet in G4:
[119] december,nsw [75] dominic,perrottet [69] 11,201 [65] 29,december [65] nsw,11 [65] 201,vic [65] vic,767 [65] 767,dominic [65] perrottet,regrets [65] regrets,over Top Word Pairs in Tweet in G5:
[39] omicron,#covid19 [39] #covid19,variant [39] variant,causes [39] causes,chaos [39] chaos,stress [39] stress,nation [39] nation,state [39] state,premiers [39] premiers,health [39] health,ministers Top Word Pairs in Tweet in G6:
[8] #auspol,#nswpol [8] #auspol,#covid19 [8] #auspol,#yobboland [8] #yobboland,#tradiesville [8] #tradiesville,#rortalot [6] #dumbstraya,#auspol [5] #auspol,#covid19aus [5] scott,morrison [5] 11,201 [5] #truthpeep,#lawfulremedy Top Word Pairs in Tweet in G7:
[16] prime,minister [16] actually,point [16] point,australia [16] australia,collectively [16] collectively,flattening [16] flattening,curve [16] curve,2020 [16] 2020,2021 [16] 2021,dom [16] dom,perrottet Top Word Pairs in Tweet in G8:
[39] simply,fantastic [39] fantastic,piece [39] piece,markgkenny [39] markgkenny,#auspol [38] vanbadham,simply [32] australia,noticed [32] noticed,time [32] time,seem [32] seem,getting [32] getting,ahead Top Word Pairs in Tweet in G9:
[52] scott,morrison [44] jim,chalmers [44] chalmers,rapid [44] rapid,test [44] test,rort [44] rort,marginal [44] marginal,seat [44] seat,scott [44] morrison,rat [44] rat,drainpipe Top Word Pairs in Tweet in G10:
[50] rapid,antigen [50] antigen,tests [49] didn,build [49] build,safe [49] safe,quarantine [49] quarantine,didn [49] didn,order [49] order,enough [49] enough,vaccines [49] vaccines,hasn 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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