The graph represents a network of 585 Twitter users whose recent tweets contained "mayorauckland", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 09 February 2023 at 22:32 UTC.
The tweets in the network were tweeted over the 9-day, 21-hour, 48-minute period from Monday, 30 January 2023 at 23:51 UTC to Thursday, 09 February 2023 at 21:40 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 : 585
Unique Edges : 1043
Edges With Duplicates : 886
Total Edges : 1929
Number of Edge Types : 5
Retweet : 235
MentionsInRetweet : 260
Mentions : 778
Replies to : 556
Tweet : 100
Self-Loops : 125
Reciprocated Vertex Pair Ratio : 0.0286677908937605
Reciprocated Edge Ratio : 0.0557377049180328
Connected Components : 31
Single-Vertex Connected Components : 29
Maximum Vertices in a Connected Component : 554
Maximum Edges in a Connected Component : 1897
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.490257
Graph Density : 0.00357101042032549
Modularity : 0.369904
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 585 Twitter users whose recent tweets contained "mayorauckland", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 09 February 2023 at 22:32 UTC.
The tweets in the network were tweeted over the 9-day, 21-hour, 48-minute period from Monday, 30 January 2023 at 23:51 UTC to Thursday, 09 February 2023 at 21:40 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 : TwitterSearch
Graph Term : mayorauckland
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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[77] wayne,brown [75] mayorauckland,aklcouncil [37] freudian,slip [31] mayor,brown [28] benross_akl,mayorauckland [27] mayor,wayne [26] hey,siri [26] siri,freudian [25] deputy,mayor [21] minister,auckland Top Word Pairs in Tweet in G1:
[14] wayne,brown [8] mayor,brown [8] state,emergency [8] mayor,wayne [7] auckland,mayor [6] emergency,response [6] part,problem [6] big,auckland [6] malicious,reporting [6] desley,simpson Top Word Pairs in Tweet in G2:
[29] wayne,brown [19] calling,drongos [19] groundswell,support [19] dog,presstitutes [19] huge,positive [19] nzlabour,realised [19] attack,dog [19] real,calling [19] goal,hearing [19] fact,real Top Word Pairs in Tweet in G3:
[19] mayorauckland,aklcouncil [9] mayorauckland,aucklandcdem [8] mayorauckland,usambnz [7] aware,part [7] mayorauckland,richardhills_ [7] community,impacted [7] aklcouncil,add [7] panel,comments [7] auckland,population [7] add,disabled Top Word Pairs in Tweet in G4:
[25] benross_akl,mayorauckland [15] drongo,mayorauckland [13] williamson_nz,mayorauckland [12] deputy,mayor [7] question,apologise [7] matthewhootonnz,liam [7] liam,hier [7] telling,big [7] mayorauckland,caught [7] attacking,staff Top Word Pairs in Tweet in G5:
[26] freudian,slip [24] siri,freudian [24] hey,siri [8] council,account [8] tweet,official [8] thing,tweet [8] odd,thing [8] official,council [7] michaelfieldnz,mayorauckland [6] mayorauckland,wayne Top Word Pairs in Tweet in G6:
[9] mulelay,mayorauckland [4] mayorauckland,chrisluxonmp [4] nickofnz,mayorauckland [4] mayorauckland,office [3] #whereswayne,mayorauckland [3] email,groups [3] talk,#whereswayne [3] updates,folks [3] groups,urgent [3] 2023,#resignwayne Top Word Pairs in Tweet in G7:
[51] mayorauckland,aklcouncil [21] wayne,brown [17] mayor,brown [15] mayor,wayne [15] aklcouncil,mayor [13] auckland,floods [13] good,job [13] brown,good [13] brown,mayorauckland [11] auckland,mayor Top Word Pairs in Tweet in G8:
[12] mayorauckland,michaelwoodnz [6] aucklandcdem,mayorauckland [6] mayorauckland,kieran_mcanulty [4] kaikoura,nctir [4] recovery,alliance [4] talked,kathryn [4] ryan,ninetonoon [4] structures,mayorauckland [4] andy_shudall,aucklandcdem [4] model,like Top Word Pairs in Tweet in G10:
[3] newshubbreaking,indianweekender [3] mayorauckland,loganchurch01 [3] melanievanessae,toritokalau [3] toritokalau,newshubbreaking [3] loganchurch01,melanievanessae [3] lincolntannzh,newstalkzb [3] indianweekender,lincolntannzh [2] 150,hot [2] hot,meals [2] 600,meals 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 G7:
Top Replied-To in G8:
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 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: