The graph represents a network of 4,614 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, 17 September 2020 at 14:28 UTC.
The requested start date was Thursday, 17 September 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 4-day, 22-hour, 46-minute period from Friday, 11 September 2020 at 09:09 UTC to Wednesday, 16 September 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 : 4614
Unique Edges : 4210
Edges With Duplicates : 14240
Total Edges : 18450
Number of Edge Types : 5
Retweet : 6269
MentionsInRetweet : 8518
Tweet : 1255
Mentions : 1818
Replies to : 590
Self-Loops : 1289
Reciprocated Vertex Pair Ratio : 0.00616784630940344
Reciprocated Edge Ratio : 0.0122600743643855
Connected Components : 245
Single-Vertex Connected Components : 164
Maximum Vertices in a Connected Component : 4242
Maximum Edges in a Connected Component : 17945
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.383147
Graph Density : 0.000467525907024221
Modularity : 0.347839
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 4,614 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, 17 September 2020 at 14:28 UTC.
The requested start date was Thursday, 17 September 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 4-day, 22-hour, 46-minute period from Friday, 11 September 2020 at 09:09 UTC to Wednesday, 16 September 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:
[286] scott,morrison [286] australia,pursue [286] pursue,energy [286] energy,nationalism [286] drive,transition [285] transition,set [285] set,country [284] nationalism,morrison [284] morrison,drive [283] murpharoo,australia Top Word Pairs in Tweet in G1:
[103] scott,morrison [65] aged,care [46] fossil,fuel [40] led,recovery [39] social,media [38] liberal,mp [38] mp,craig [38] craig,kelly's [38] kelly's,hydroxychloroquine [38] hydroxychloroquine,claims Top Word Pairs in Tweet in G2:
[77] chris,uhlmann [70] human,rights [50] scott,morrison [46] dan,andrews [44] #qldpol,#auspol [37] gas,fired [37] fired,power [36] #auspol,#qldpol [36] rights,human [34] aged,care Top Word Pairs in Tweet in G3:
[60] belindajones68,hey [60] hey,scottmorrisonmp [46] immigration,minister [44] scottmorrisonmp,immigration [44] minister,david [44] david,coleman [44] coleman,paid [44] paid,indefinite [44] indefinite,leave [44] leave,dec Top Word Pairs in Tweet in G4:
[183] australia,pursue [183] pursue,energy [183] energy,nationalism [183] nationalism,morrison [183] morrison,drive [183] drive,transition [183] transition,set [183] set,country [182] murpharoo,australia [182] country,centu Top Word Pairs in Tweet in G5:
[42] daniel,andrews [36] breaking,victorian [36] victorian,mother [36] mother,taking [36] taking,daniel [36] andrews,over [36] over,lockdown [36] lockdown,curfew [36] curfew,filing [36] filing,writ Top Word Pairs in Tweet in G6:
[30] quit,silenced [30] silenced,last [30] last,week [30] week,quit [30] quit,job [30] job,economist [30] economist,victorian [30] victorian,depart [30] depart,finance [30] finance,treasury Top Word Pairs in Tweet in G7:
[7] #springst,#auspol [5] scott,morrison [4] #auspol,#thisisnotjournalism [4] never,more [4] more,exciting [4] exciting,time [3] scott,morrison's [3] #auspol,#scottyfrommarketing [3] #istandwithdan,#auspol [3] #auspol,#covid19 Top Word Pairs in Tweet in G8:
[27] daniel,andrews [22] oh,danielandrewsmp [22] danielandrewsmp,family [22] family,sold [22] sold,farm [22] farm,owner [22] owner,put [22] put,boots [22] boots,front [22] front,property Top Word Pairs in Tweet in G9:
[23] rio,tinto [23] tinto,sacks [23] sacks,bosses [23] bosses,over [23] over,juukan [23] juukan,blast [23] blast,fed [23] fed,state [23] state,ministers [23] ministers,sanctioned Top Word Pairs in Tweet in G10:
[31] daniel,andrews [30] andrews,different [30] different,view [30] view,leave [30] leave,family [30] family,particularly [30] particularly,dead [30] dead,members [30] members,family [29] slpng_giants_oz,daniel Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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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:
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Top Mentioned in G5:
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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:
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Top Tweeters in G3:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: