The graph represents a network of 7,840 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, 02 February 2022 at 02:19 UTC.
The tweets in the network were tweeted over the 10-hour, 41-minute period from Tuesday, 01 February 2022 at 14:54 UTC to Wednesday, 02 February 2022 at 01:35 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 : 7840
Unique Edges : 21437
Edges With Duplicates : 8094
Total Edges : 29531
Number of Edge Types : 5
Retweet : 14905
MentionsInRetweet : 6899
Mentions : 3500
Tweet : 2737
Replies to : 1490
Self-Loops : 2857
Reciprocated Vertex Pair Ratio : 0.00468729074594884
Reciprocated Edge Ratio : 0.00933084510797121
Connected Components : 521
Single-Vertex Connected Components : 388
Maximum Vertices in a Connected Component : 6889
Maximum Edges in a Connected Component : 28070
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.044281
Graph Density : 0.000366202738270969
Modularity : 0.431803
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,840 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, 02 February 2022 at 02:19 UTC.
The tweets in the network were tweeted over the 10-hour, 41-minute period from Tuesday, 01 February 2022 at 14:54 UTC to Wednesday, 02 February 2022 at 01:35 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:
[1939] aged,care [1186] scott,morrison [1117] #auspol,#npc [926] #npc,#auspol [913] prime,minister [658] press,club [577] text,messages [563] national,press [492] bread,milk [434] know,#auspol Top Word Pairs in Tweet in G1:
[650] #auspol,#npc [618] aged,care [517] #npc,#auspol [443] scott,morrison [277] press,club [269] text,messages [267] bread,milk [264] prime,minister [255] time,#auspol [251] stuart,robert Top Word Pairs in Tweet in G2:
[323] aged,care [206] morrison,government [201] covid,committee [186] milk,bread [182] care,crisis [180] know,#auspol [178] crisis,#auspol [177] idea,cost [176] bread,petrol [176] don,care Top Word Pairs in Tweet in G3:
[302] scott,morrison [236] #auspol,#npc [184] prime,minister [182] gladys,berejiklian [139] text,messages [135] aged,care [122] #auspol,#scottythecompletepsycho [112] federal,court [112] press,club [106] bread,milk Top Word Pairs in Tweet in G4:
[186] aged,care [109] scott,morrison [103] power,pole [103] green,energy [103] followed,#auspol [102] car,drove [102] drove,power [102] pole,queensland [102] queensland,tuesday [102] tuesday,federal Top Word Pairs in Tweet in G5:
[420] aged,care [148] prime,minister [134] jennifer,brown [134] brown,manages [134] manages,small [134] small,aged [134] care,facility [134] facility,bingara [134] bingara,nsw [134] nsw,told Top Word Pairs in Tweet in G6:
[359] digital,identity [355] thought,government [355] government,going [355] going,give [355] give,control [355] control,covid [355] covid,think [355] think,again [355] again,digital [355] identity,bill Top Word Pairs in Tweet in G7:
[19] #auspol,#auspol2022 [12] scott,morrison [11] never,more [10] prime,minister [10] more,exciting [10] exciting,time [9] bread,milk [8] #auspol,#scottythecompletepsycho [8] price,bread [7] unemployment,rate Top Word Pairs in Tweet in G8:
[168] anthony,pratt [165] state,federal [165] liberal,party [165] bushfire,recovery [164] pratt,donated [164] donated,29m [164] 29m,state [164] federal,liberal [164] party,branches [164] branches,2020 Top Word Pairs in Tweet in G9:
[125] #npc,#auspol [109] national,press [109] press,club [107] pm,bring [107] bring,himself [107] himself,smile [107] smile,polite [107] polite,president [107] president,national [107] club,maybe Top Word Pairs in Tweet in G10:
[23] pm,know [23] know,price [23] left,wing [21] dare,pm [21] price,milk [21] milk,bread [21] bread,re [21] re,crucial [21] crucial,issues [21] issues,forget 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: