The graph represents a network of 4,258 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, 15 October 2020 at 14:27 UTC.
The requested start date was Thursday, 15 October 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 3-day, 0-hour, 55-minute period from Sunday, 11 October 2020 at 06:59 UTC to Wednesday, 14 October 2020 at 07:55 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 : 4258
Unique Edges : 4375
Edges With Duplicates : 14332
Total Edges : 18707
Number of Edge Types : 5
Retweet : 6137
MentionsInRetweet : 8774
Mentions : 1885
Replies to : 621
Tweet : 1290
Self-Loops : 1346
Reciprocated Vertex Pair Ratio : 0.00738007380073801
Reciprocated Edge Ratio : 0.0146520146520147
Connected Components : 251
Single-Vertex Connected Components : 141
Maximum Vertices in a Connected Component : 3832
Maximum Edges in a Connected Component : 18121
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.11557
Graph Density : 0.000557256398518264
Modularity : 0.333729
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 4,258 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, 15 October 2020 at 14:27 UTC.
The requested start date was Thursday, 15 October 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 3-day, 0-hour, 55-minute period from Sunday, 11 October 2020 at 06:59 UTC to Wednesday, 14 October 2020 at 07:55 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:
[282] scott,morrison [243] deb,frecklington [201] matt,canavan [163] mental,health [160] jim,chalmers [159] #auspol,#thedrum [152] morrison,deb [140] brass,neck [140] neck,sit [140] sit,down Top Word Pairs in Tweet in G1:
[62] deb,frecklington [61] 288,billion [57] anti,corruption [55] commission,#auspol [54] liberals,federal [54] federal,anti [54] corruption,commission [53] kkeneally,liberals [51] #qldpol,#auspol [50] scott,morrison Top Word Pairs in Tweet in G2:
[112] scott,morrison [104] deb,frecklington [88] morrison,deb [88] brass,neck [88] neck,sit [88] sit,down [88] down,1500 [88] 1500,00 [88] 00,head [88] head,lunch Top Word Pairs in Tweet in G3:
[75] prime,minister [65] stevenjmiles,scottmorrisonmp [62] scott,morrison [57] minister,personally [57] personally,running [57] running,lnp's [57] lnp's,campaign [57] campaign,qld [57] qld,stevenjmiles [57] scottmorrisonmp,taking Top Word Pairs in Tweet in G4:
[49] #springst,#auspol [37] peta,credlin [29] #auspol,#springst [22] #auspol,#wapol [22] royal,commission [19] wa,cho [19] cho,confirms [19] confirms,nothing [19] nothing,hard [19] hard,border Top Word Pairs in Tweet in G5:
[60] single,victorian [60] victorian,consumed [60] consumed,#covid19vic [60] #covid19vic,restrictions [60] restrictions,endure [60] endure,save [60] save,lives [60] lives,lifting [59] sparnis,single [40] much,noise Top Word Pairs in Tweet in G6:
[45] morrison,recession [16] people,signed [16] signed,#murdochroyalcommision [15] recession,morrison [15] recession,before [15] before,covid [15] covid,morrison [15] recession,#auspol [15] insane,few [15] few,days Top Word Pairs in Tweet in G7:
[30] jobs,million [30] million,dollars [26] morrison,govt [22] more,jobs [22] debate,australia [22] australia,canâ [22] canâ,put [22] put,sport [22] sport,profit [22] profit,ahead Top Word Pairs in Tweet in G8:
[6] #auspol,#springst [6] #auspol,#nswpol [5] mental,health [4] 200,000 [3] liberal,party [3] vic,750 [3] 750,cases [3] cases,france [3] france,1000 [3] 1000,10 Top Word Pairs in Tweet in G9:
[116] #auspol,#thedrum [35] theipa's,#scomo [22] #auspol,#insiders [20] #cathywilcox1,#auspol [18] moir_alan,#auspol [18] think,peta [18] peta,credlin [18] credlin,disgrace [18] disgrace,ultimately [18] ultimately,undermines Top Word Pairs in Tweet in G10:
[56] #auspol,citizen [56] citizen,event [56] event,unemployment [56] unemployment,retirement [56] retirement,right [56] right,decent [53] decent,standard [53] standard,living [53] living,themselves [53] themselves,family Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: