The graph represents a network of 4,433 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, 06 August 2020 at 14:51 UTC.
The requested start date was Thursday, 06 August 2020 at 00:01 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, 1-hour, 5-minute period from Monday, 03 August 2020 at 21:41 UTC to Wednesday, 05 August 2020 at 22:47 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 : 4433
Unique Edges : 4072
Edges With Duplicates : 14242
Total Edges : 18314
Number of Edge Types : 5
Retweet : 5967
MentionsInRetweet : 8259
Replies to : 512
Mentions : 2178
Tweet : 1398
Self-Loops : 1476
Reciprocated Vertex Pair Ratio : 0.00618902758837722
Reciprocated Edge Ratio : 0.012301918265221
Connected Components : 263
Single-Vertex Connected Components : 165
Maximum Vertices in a Connected Component : 3988
Maximum Edges in a Connected Component : 17616
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.384889
Graph Density : 0.000488215639025002
Modularity : 0.338493
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 4,433 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, 06 August 2020 at 14:51 UTC.
The requested start date was Thursday, 06 August 2020 at 00:01 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, 1-hour, 5-minute period from Monday, 03 August 2020 at 21:41 UTC to Wednesday, 05 August 2020 at 22:47 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:
[295] aged,care [276] scott,morrison [268] liberal,party [264] sky,news [207] emma,alberici [161] prime,minister [132] morning,missed [132] news,ltd [131] rounds,morning [130] note,viewers Top Word Pairs in Tweet in G1:
[106] aged,care [62] emma,alberici [59] scott,morrison [53] liberal,party [52] sky,news [49] 20,000 [48] see,reported [48] reported,enough [48] enough,normanswan [48] normanswan,victoria Top Word Pairs in Tweet in G2:
[52] aged,care [45] emma,alberici [36] neglect,aboriginal [36] aboriginal,services [36] services,worse [36] worse,rudd [36] rudd,claims [36] claims,2014 [36] 2014,government [36] government,enacted Top Word Pairs in Tweet in G3:
[79] note,viewers [79] viewers,pm [79] pm,doing [79] doing,breakfast [79] breakfast,tv [79] tv,rounds [79] rounds,morning [79] morning,missed [79] missed,behalf [79] behalf,keep Top Word Pairs in Tweet in G4:
[46] early,childhood [38] childhood,educators [29] scott,morrison [27] aged,care [27] pandemic,leave [26] educators,victoria [25] getting,direct [25] direct,reports [25] reports,widespread [25] widespread,standowns Top Word Pairs in Tweet in G5:
[56] sky,news [45] blocking,federal [45] federal,officials [45] australia,#auspol [44] scott,morrison [44] pm,blocking [44] officials,appearing [44] appearing,before [44] before,#rubyprincess [44] #rubyprincess,probe Top Word Pairs in Tweet in G6:
[56] news,ltd [52] emma,alberici [51] australian,newspaper [50] typical,attitude [50] attitude,australian [50] newspaper,getting [50] getting,emma [50] alberici,pattern [50] pattern,continues [50] continues,attack Top Word Pairs in Tweet in G7:
[35] mailonline,#auspol [24] health,minister [22] #insiders,#outsiders [21] industrial,scale [21] scale,manslaughter [21] #theprojecttv,#insiders [20] #danandrews,inquiry [20] inquiry,industrial [20] manslaughter,received [20] received,bombshell Top Word Pairs in Tweet in G8:
[59] sky,news [46] #auspol,#qldpol [32] brett,sutton [27] come,back [26] 500,jobs [26] jobs,unsw [26] unsw,200 [26] 200,latrobe [26] latrobe,400 [26] 400,deakin Top Word Pairs in Tweet in G9:
[33] groovers,#auspol [13] never,more [12] more,exciting [12] exciting,time [6] movers,shakers [6] track,each [6] media,exposure [6] exposure,relative [6] relative,long [6] long,term Top Word Pairs in Tweet in G10:
[60] covid,commission [44] scott,morrison [28] trademarks,scott [28] morrison,secretive [28] secretive,million [28] million,covid [28] commission,unexplained [28] unexplained,spending [28] spending,public [28] public,money Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: