The graph represents a network of 8,139 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 Thursday, 05 January 2023 at 03:59 UTC.
The tweets in the network were tweeted over the 2-day, 4-hour, 35-minute period from Monday, 02 January 2023 at 21:51 UTC to Thursday, 05 January 2023 at 02:26 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 : 8139
Unique Edges : 16006
Edges With Duplicates : 7033
Total Edges : 23039
Number of Edge Types : 5
Retweet : 14151
Replies to : 1454
MentionsInRetweet : 2753
Tweet : 3235
Mentions : 1446
Self-Loops : 3327
Reciprocated Vertex Pair Ratio : 0.00631491973559962
Reciprocated Edge Ratio : 0.0125505835434872
Connected Components : 416
Single-Vertex Connected Components : 296
Maximum Vertices in a Connected Component : 7504
Maximum Edges in a Connected Component : 22178
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.32772
Graph Density : 0.000257431163999821
Modularity : 0.477463
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 8,139 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 Thursday, 05 January 2023 at 03:59 UTC.
The tweets in the network were tweeted over the 2-day, 4-hour, 35-minute period from Monday, 02 January 2023 at 21:51 UTC to Thursday, 05 January 2023 at 02:26 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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[798] covid,19 [433] aged,pension [405] paul,kelly [367] big,pharma [355] chief,medical [348] medical,officer [331] australia,#auspol [330] health,disaster [295] anthony,albanese [281] peter,dutton Top Word Pairs in Tweet in G1:
[220] paul,kelly [176] vote,#auspol [171] #bankstories,#auspol [169] #auspol,jechalmers [161] peter,dutton [161] anthony,albanese [155] penny,wong [154] chief,medical [149] covid,testing [148] medical,officer Top Word Pairs in Tweet in G2:
[161] announce,officially [161] officially,launching [161] kind,#auspol [161] campaign,#wogvoice [161] proud,announce [161] sense,kind [161] #wogvoice,sense [161] launching,campaign [96] health,advice [90] #voteno,#auspol Top Word Pairs in Tweet in G3:
[118] friend,ronni [118] tough,time [118] path,recovery [118] recovery,concern [118] concern,best [118] best,wishes [118] wishes,share [118] ronni,tough [118] coming,#auspol [118] share,update Top Word Pairs in Tweet in G4:
[432] covid,19 [190] health,disaster [136] voters,down [136] 19,#auspol [136] australian,voters [136] albanese,australian [136] down,covid [113] public,health [111] crabbbrendan,profmiketoole [109] disaster,australia Top Word Pairs in Tweet in G5:
[269] big,pharma [206] tga,big [196] criminal,#auspol [184] spike,protein [116] blood,hands [113] risk,myocarditis [103] pharma,myocarditis [103] keep,hiding [103] dangerous,tga [103] rare,risk Top Word Pairs in Tweet in G6:
[207] aged,pension [128] happened,#auspol [121] citizens,treated [121] treated,handout [121] australian,citizens [121] discusses,happened [121] handout,denied [121] article,discusses [121] entitlement,australian [121] retirees,article Top Word Pairs in Tweet in G7:
[60] super,profits [57] 2020,21 [57] tax,super [57] sadly,aus [57] miss,tens [57] 30,paid [57] previous,30 [57] 30,corporate [57] cool,chevron [57] profits,meaning Top Word Pairs in Tweet in G8:
[35] andrew,gill [33] scott,morrison [31] fossil,fuel [28] #originenergy,#brookfield [28] fuel,companies [28] pleasing,big [28] trading,scam [28] big,#auspol [28] scam,pleasing [28] #whatsthescam,insider Top Word Pairs in Tweet in G9:
[70] interruption,unclear [70] elon,musk [70] wait,elon [70] underway,restore [70] twitter,disruption [70] australians,wait [70] dan,andrews [70] 12,twitter [70] notices,work [70] performance,#auspol Top Word Pairs in Tweet in G10:
[30] #qanda,#auspol [22] state,election [15] covid,testing [13] albanese,government [13] polls,state [13] #auspol,#7news [11] arguing,politically [11] payback,countries [11] citizens,arguing [11] threats,#auspol 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: