The graph represents a network of 4,055 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, 06 May 2021 at 14:15 UTC.
The requested start date was Thursday, 06 May 2021 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, 34-minute period from Monday, 03 May 2021 at 22:31 UTC to Wednesday, 05 May 2021 at 23:05 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 : 4055
Unique Edges : 3414
Edges With Duplicates : 13994
Total Edges : 17408
Number of Edge Types : 5
Retweet : 6196
MentionsInRetweet : 7969
Mentions : 1536
Replies to : 492
Tweet : 1215
Self-Loops : 1273
Reciprocated Vertex Pair Ratio : 0.00553280956069492
Reciprocated Edge Ratio : 0.011004732034775
Connected Components : 225
Single-Vertex Connected Components : 155
Maximum Vertices in a Connected Component : 3686
Maximum Edges in a Connected Component : 16900
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.123428
Graph Density : 0.000552771858577514
Modularity : 0.32136
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 4,055 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, 06 May 2021 at 14:15 UTC.
The requested start date was Thursday, 06 May 2021 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, 34-minute period from Monday, 03 May 2021 at 22:31 UTC to Wednesday, 05 May 2021 at 23:05 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:
[405] karen,andrews [391] compassion,takes [389] takes,many [372] home,affairs [358] affairs,minister [349] minister,karen [290] port,darwin [285] christmas,island [277] another,morrison [275] darwin,deal Top Word Pairs in Tweet in G1:
[78] scott,morrison [70] australian,government [64] ve,detained [64] detained,australian [62] tharnicaa,kopika [57] christian,porter [57] travel,ban [50] returning,india [49] australians,returning [48] karen,andrews Top Word Pairs in Tweet in G2:
[167] karen,andrews [157] compassion,takes [156] takes,many [152] home,affairs [140] affairs,minister [138] minister,karen [129] christmas,island [128] andrews,confirms [128] confirms,release [128] release,family Top Word Pairs in Tweet in G3:
[147] another,morrison [147] morrison,break [147] break,glass [147] glass,moment [147] moment,under [147] under,pressure [147] pressure,port [147] port,darwin [147] darwin,deal [147] deal,china Top Word Pairs in Tweet in G4:
[26] true,another [26] another,failure [26] failure,butterfingers [26] butterfingers,australian [26] australian,politics [26] politics,frydenberg [26] frydenberg,abandons [26] abandons,jobmaker [25] jechalmers,true [25] jobmaker,delive Top Word Pairs in Tweet in G5:
[49] scott,morrison [29] compassion,takes [29] takes,many [26] karen,andrews [24] home,affairs [24] affairs,minister [24] #auspol,#qldpol [24] demand,#climateaction [23] 'compassionate',torture [22] torture,people Top Word Pairs in Tweet in G6:
[80] morrison,australia [80] australia,don [80] don,poor [80] poor,don [80] don,sick [80] sick,don [80] don,brown [80] brown,yellow [80] yellow,black [80] black,don Top Word Pairs in Tweet in G7:
[89] nats,try [89] try,shove [89] shove,one [89] one,today [89] today,laws [89] laws,profit [89] profit,few [89] few,corporate [89] corporate,irrigators [89] irrigators,further Top Word Pairs in Tweet in G8:
[5] scott,morrison [5] next,election [4] australian,citizens [4] federal,government [4] government,#auspol [4] groovers,#auspol [4] #springst,#auspol [3] india,travel [3] again,#auspol [3] travel,ban Top Word Pairs in Tweet in G9:
[23] message,being [23] being,compromised [23] compromised,youtube [23] youtube,ads [23] ads,appearing [23] appearing,alongside [23] alongside,content [23] content,funding [23] funding,climate [22] best,less Top Word Pairs in Tweet in G10:
[30] days,minute [30] minute,ausborderforce [30] ausborderforce,qldpolice [30] qldpolice,sercogroup [30] sercogroup,guards [30] guards,raided [30] raided,biloela [30] biloela,home [30] home,#priya [27] drronbaumann,5am Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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:
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Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G9:
Top Tweeters in G10: