The graph represents a network of 4,497 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, 20 January 2022 at 15:15 UTC.
The requested start date was Thursday, 20 January 2022 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, 37-minute period from Monday, 17 January 2022 at 22:20 UTC to Wednesday, 19 January 2022 at 22:58 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 : 4497
Unique Edges : 2909
Edges With Duplicates : 14633
Total Edges : 17542
Number of Edge Types : 5
Retweet : 6274
MentionsInRetweet : 7687
Mentions : 1771
Replies to : 390
Tweet : 1420
Self-Loops : 1459
Reciprocated Vertex Pair Ratio : 0.00479756611280131
Reciprocated Edge Ratio : 0.00954931873762664
Connected Components : 315
Single-Vertex Connected Components : 212
Maximum Vertices in a Connected Component : 3915
Maximum Edges in a Connected Component : 16198
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.395692
Graph Density : 0.000424709790710612
Modularity : 0.33097
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,497 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, 20 January 2022 at 15:15 UTC.
The requested start date was Thursday, 20 January 2022 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, 37-minute period from Monday, 17 January 2022 at 22:20 UTC to Wednesday, 19 January 2022 at 22:58 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:
[465] scott,morrison [228] scott,morrison's [217] prime,minister [200] 44m,hillsong [200] hillsong,1m [200] 1m,tonga [193] retweet,disapprove [193] disapprove,giving [193] giving,44m [193] tonga,#auspol Top Word Pairs in Tweet in G1:
[134] scott,morrison [70] alex,hawke [67] hawke,use [67] use,powers [67] powers,free [67] free,70 [67] 70,refugees [67] refugees,who've [67] who've,detention [67] detention,nine Top Word Pairs in Tweet in G2:
[122] nsw,citizen [122] citizen,covid [122] covid,dashboard [76] timlonghurst,nswhealth [72] scott,morrison [71] aged,care [69] system,coping [62] nurses,system [62] wednesday's,nsw [62] dashboard,added Top Word Pairs in Tweet in G3:
[47] prime,minister [41] scott,morrison [40] labor,prime [40] minister,mishandled [40] mishandled,omicron [40] omicron,catastrophically [40] catastrophically,media [40] media,calling [40] calling,day [39] mediaanalystoz,labor Top Word Pairs in Tweet in G4:
[60] john,howard [59] attorney,general [59] general,senatorcash [59] senatorcash,plans [59] plans,use [59] use,extraordinary [59] extraordinary,powers [59] powers,maintain [59] maintain,secrets [59] secrets,pm Top Word Pairs in Tweet in G5:
[94] sa,premier [94] premier,steven [94] steven,marshall [94] marshall,described [94] described,scott [94] scott,morrison's [94] morrison's,plan [94] plan,cut [94] cut,positive [94] positive,case Top Word Pairs in Tweet in G6:
[33] hurts,workers [32] know,hurts [32] workers,joshfrydenberg [32] joshfrydenberg,coronavirus [32] coronavirus,making [32] making,sick [32] sick,record [32] record,numbers [32] numbers,having [32] having,crack Top Word Pairs in Tweet in G7:
[7] #auspol,#auspol2022 [6] #auspol,#covid19 [5] scott,morrison [5] #covid19,#auspol [5] #nuclear,#uranium [5] #uranium,#thorium [5] #auspol,#auspol2021 [4] #auspol,#nswpol [4] #truthpeep,#lawfulremedy [4] #lawfulremedy,#peacetalk Top Word Pairs in Tweet in G8:
[137] retweet,disapprove [137] disapprove,giving [137] giving,44m [137] 44m,hillsong [137] hillsong,1m [137] 1m,tonga [137] tonga,#auspol [136] leipzigsyd,retweet [14] george,problem [7] problem,people Top Word Pairs in Tweet in G9:
[121] wanna,see [121] see,generous [121] generous,australia [121] australia,covax [121] covax,stats [121] stats,against [121] against,countries [121] countries,knew [121] knew,more [120] dollydame_,wanna Top Word Pairs in Tweet in G10:
[77] morally,bankrupt [18] morrison,morally [18] bankrupt,frydenberg [18] frydenberg,morally [18] bankrupt,hunt [18] hunt,morally [18] bankrupt,dutton [18] dutton,morally [18] bankrupt,birmingham [18] adamajacoby,#auspol 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:
Top Tweeters in G1:
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Top Tweeters in G10: