The graph represents a network of 4,437 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, 13 January 2022 at 15:15 UTC.
The requested start date was Thursday, 13 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, 26-minute period from Monday, 10 January 2022 at 22:30 UTC to Wednesday, 12 January 2022 at 22:57 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 : 4437
Unique Edges : 3397
Edges With Duplicates : 13943
Total Edges : 17340
Number of Edge Types : 5
Retweet : 6322
MentionsInRetweet : 8154
Replies to : 375
Mentions : 1112
Tweet : 1377
Self-Loops : 1413
Reciprocated Vertex Pair Ratio : 0.00421753607103219
Reciprocated Edge Ratio : 0.00839964633068081
Connected Components : 319
Single-Vertex Connected Components : 205
Maximum Vertices in a Connected Component : 3946
Maximum Edges in a Connected Component : 16653
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.261439
Graph Density : 0.00045969695362365
Modularity : 0.341882
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,437 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, 13 January 2022 at 15:15 UTC.
The requested start date was Thursday, 13 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, 26-minute period from Monday, 10 January 2022 at 22:30 UTC to Wednesday, 12 January 2022 at 22:57 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:
[772] scott,morrison [254] number,times [254] times,short [210] locked,down [207] wore,masks [207] masks,shot [207] shot,social [207] social,distanced [207] distanced,locked [207] down,home Top Word Pairs in Tweet in G1:
[137] scott,morrison [62] hey,scottmorrisonmp [53] north,sydney [51] federal,election [47] rapid,antigen [46] scottmorrisonmp,68 [46] 68,look [46] look,health [46] health,exercise [46] exercise,regularly Top Word Pairs in Tweet in G2:
[163] scott,morrison [144] nsw,citizen [144] citizen,covid [144] covid,dashboard [144] dashboard,thanks [144] health,staff [86] nsw,health [85] thanks,healthcare [85] healthcare,workers [85] workers,nsw Top Word Pairs in Tweet in G3:
[143] seriously,know [143] know,more [143] more,timeline [143] timeline,djokovic [143] djokovic,movements [143] movements,visa [143] visa,application [142] zalisteggall,seriously [142] application,scottmorrison [42] scott,morrison Top Word Pairs in Tweet in G4:
[66] scott,morrison [35] #auspol,more [35] more,misogyny [35] misogyny,australian [35] australian,qld [35] qld,premier [35] premier,degrees [35] degrees,arts [35] arts,laws [35] laws,university Top Word Pairs in Tweet in G5:
[146] scott,morrison [65] julianhillmp,scott [64] morrison,learnt [64] learnt,nothing [64] nothing,left [64] left,millions [64] millions,working [64] working,families [64] families,scrambling [64] scrambling,find Top Word Pairs in Tweet in G6:
[143] wore,masks [143] masks,shot [143] shot,social [143] social,distanced [143] distanced,locked [143] locked,down [143] down,home [143] home,schooled [143] schooled,self [143] self,isolated Top Word Pairs in Tweet in G7:
[10] #auspol,#nswpol [8] #covid19,#auspol [7] scott,morrison [7] #auspol,#covid19 [7] novak,djokovic [7] #covid19nsw,#auspol [6] #auspol,#auspol2022 [6] #springst,#auspol [5] tennis,player [5] #auspol,#covid19aus Top Word Pairs in Tweet in G8:
[84] scott,morrison [34] rapid,tests [31] morrison,failure [31] failure,order [31] order,enough [31] enough,rapid [31] tests,refusal [31] refusal,provide [31] provide,free [31] free,medicare Top Word Pairs in Tweet in G9:
[152] number,times [152] times,short [76] short,army [76] army,tanks [76] tanks,vietnam [76] vietnam,war [76] war,nil [76] nil,number [75] raymartin55,number [69] protesters,left Top Word Pairs in Tweet in G10:
[37] leigh,sales [25] hey,leigh [25] sales,know [25] know,attacked [25] attacked,labor [25] labor,saying [25] saying,'scaring' [25] 'scaring',people [25] people,medicare [25] medicare,subsidies Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: