The graph represents a network of 4,396 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, 29 October 2020 at 14:16 UTC.
The requested start date was Thursday, 29 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 2-day, 0-hour, 38-minute period from Monday, 26 October 2020 at 07:17 UTC to Wednesday, 28 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 : 4396
Unique Edges : 4432
Edges With Duplicates : 14135
Total Edges : 18567
Number of Edge Types : 5
Retweet : 5942
MentionsInRetweet : 8562
Replies to : 557
Mentions : 2106
Tweet : 1400
Self-Loops : 1469
Reciprocated Vertex Pair Ratio : 0.00894693541752365
Reciprocated Edge Ratio : 0.0177351951890735
Connected Components : 301
Single-Vertex Connected Components : 211
Maximum Vertices in a Connected Component : 3931
Maximum Edges in a Connected Component : 17956
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.164664
Graph Density : 0.000507804695757132
Modularity : 0.333952
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 4,396 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, 29 October 2020 at 14:16 UTC.
The requested start date was Thursday, 29 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 2-day, 0-hour, 38-minute period from Monday, 26 October 2020 at 07:17 UTC to Wednesday, 28 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:
[327] morrison,government [269] josh,frydenberg [243] clive,palmer [213] scott,morrison [213] private,jets [212] aged,care [197] jechalmers,morrison [182] prime,minister [168] taxpayer,subsidies [167] provided,taxpayer Top Word Pairs in Tweet in G1:
[119] aged,care [84] josh,frydenberg [72] morrison,government [56] scott,morrison [47] dan,andrews [40] federal,government [35] prime,minister [35] victorians,#auspol [34] dear,josh [34] frydenberg,fuck Top Word Pairs in Tweet in G2:
[110] #auspol,cf [81] cf,#thedrum [74] prime,minister [66] josh,frydenberg [63] friend,mine [63] mine,friend [55] clive,palmer [55] morrison,government [52] friend,taken [51] wow,joshfrydenberg Top Word Pairs in Tweet in G3:
[55] event,unemployment [55] unemployment,retirement [53] retirement,right [53] right,decent [52] koala,habitat [51] climate,change [49] decent,standard [49] standard,living [49] living,themselves [49] themselves,family Top Word Pairs in Tweet in G4:
[60] people,didn [60] didn,help [60] help,victoria [60] victoria,people [60] people,put [60] put,murdoch [60] murdoch,profits [60] profits,politics [60] politics,ahead [60] ahead,victorian Top Word Pairs in Tweet in G5:
[115] morrison,government [93] jechalmers,morrison [56] government,caught [56] caught,inflating [56] inflating,jobs [56] jobs,figures [56] figures,associated [56] associated,budget [56] budget,measures [56] measures,nearly Top Word Pairs in Tweet in G6:
[120] private,jets [109] clive,palmer [107] shock,revelation [107] revelation,government [107] government,provided [107] provided,taxpayer [107] taxpayer,subsidies [107] subsidies,clive [107] palmer,minerology [107] minerology,private Top Word Pairs in Tweet in G7:
[9] #auspol,#lnp [8] federal,government [8] #lnpcrimesyndicate,threat [7] #auspol,#australiapm [7] threat,democracy [7] democracy,#auspol [6] national,integrity [6] integrity,commission [6] scott,morrison [6] josh,frydenberg Top Word Pairs in Tweet in G8:
[23] michaelobrienmp,used [22] political,stunt [22] dead,victorians [21] samanthamaiden,michaelobrienmp [21] used,dead [21] victorians,prop [21] prop,political [21] stunt,timsmithmp [21] timsmithmp,tries [21] tries,represent Top Word Pairs in Tweet in G9:
[65] please,retweet [65] retweet,#auspol [64] vanonselenp,please [28] check,more [28] more,sports [28] sports,rorts [28] rorts,#auspol [27] vanonselenp,check [23] morrison,government [21] know,bad Top Word Pairs in Tweet in G10:
[29] #auspol,#sacktaylor [24] #sacktaylor,#renewables [24] #renewables,#getup [21] #getup,#stopadani [19] federal,government [16] #stopadani,#climateemergency [15] morrison,heads [15] heads,arguably [15] arguably,corrupt [15] corrupt,federal Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: