The graph represents a network of 4,121 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, 04 March 2021 at 15:15 UTC.
The requested start date was Thursday, 04 March 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, 29-minute period from Monday, 01 March 2021 at 00:37 UTC to Wednesday, 03 March 2021 at 01:06 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 : 4121
Unique Edges : 3447
Edges With Duplicates : 14633
Total Edges : 18080
Number of Edge Types : 5
Retweet : 6344
MentionsInRetweet : 8214
Tweet : 1491
Replies to : 502
Mentions : 1529
Self-Loops : 1531
Reciprocated Vertex Pair Ratio : 0.00545315737812193
Reciprocated Edge Ratio : 0.0108471634667534
Connected Components : 274
Single-Vertex Connected Components : 185
Maximum Vertices in a Connected Component : 3663
Maximum Edges in a Connected Component : 17366
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.078005
Graph Density : 0.000542980189085975
Modularity : 0.309898
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 4,121 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, 04 March 2021 at 15:15 UTC.
The requested start date was Thursday, 04 March 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, 29-minute period from Monday, 01 March 2021 at 00:37 UTC to Wednesday, 03 March 2021 at 01:06 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:
[954] women,right [411] aged,care [325] christian,porter [316] right,attractive [316] attractive,women [316] right,drink [316] drink,alcohol [316] alcohol,women [316] right,alone [315] patskarvelas,women Top Word Pairs in Tweet in G1:
[91] aged,care [74] prime,minister [59] christian,porter [54] women,right [48] rape,allegations [43] cabinet,minister [42] alleged,rapist [38] scott,morrison [35] historical,rape [28] rape,allegation Top Word Pairs in Tweet in G2:
[136] aged,care [78] scott,morrison [54] christian,porter [50] bruce_haigh,#auspol [45] prime,minister [42] women,right [39] nsw,police [34] minister,accused [33] #auspol,clarification [33] clarification,nsw Top Word Pairs in Tweet in G3:
[83] aged,care [67] prime,minister [62] christian,porter [61] scott,morrison [59] attorney,general [55] labor,mp [48] rape,allegation [38] bruce_haigh,#auspol [33] women,right [33] general,christian Top Word Pairs in Tweet in G4:
[732] women,right [244] right,attractive [244] attractive,women [244] right,drink [244] drink,alcohol [244] alcohol,women [244] right,alone [243] patskarvelas,women [243] alone,victi [31] disgraceful,#auspol Top Word Pairs in Tweet in G5:
[32] scott,morrison [26] prime,minister [26] good,enough [15] christian,porter [14] media,conference [14] danielhurstbne,latest [14] latest,guardian [14] guardian,essential [14] essential,two [14] two,thirds Top Word Pairs in Tweet in G6:
[30] christian,porter [24] attorney,general [22] alleged,raped [22] raped,16 [22] general,christian [21] porter,alleged [21] 16,yr [21] yr,old [21] old,katharine [21] katharine,thornton Top Word Pairs in Tweet in G7:
[11] anthony,albanese [7] aged,care [7] craig,kelly [7] jacqui,lambie [5] scott,morrison [5] #auspol,#cabinetrapist [5] #auspol,#auslaw [5] #auspol,#cabinetminister [4] rape,allegations [4] #auspol,#scottytherapistprotector Top Word Pairs in Tweet in G8:
[88] won,stand [30] scott,morrison [21] morrison,won [21] won,won [21] stand,women [21] women,won [21] stand,elders [21] elders,won [21] stand,workers [21] workers,won Top Word Pairs in Tweet in G9:
[69] people,presumed [69] presumed,innocent [69] innocent,until [69] until,proven [69] proven,guilty [69] guilty,australia [68] australia,robodebt [68] robodebt,recipients [68] recipients,people [68] people,brown Top Word Pairs in Tweet in G10:
[18] christian,porter [18] #sterlingdisaster,#asicfiasco [16] jane,norman [16] #asicfiasco,#asiclied [14] #payupnow,18 [12] labor,welcomes [12] welcomes,decision [12] decision,reverse [12] reverse,unfair [12] unfair,cuts Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: