The graph represents a network of 362 Twitter users whose recent tweets contained "3waters", 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 19:45 UTC.
The tweets in the network were tweeted over the 9-day, 18-hour, 35-minute period from Tuesday, 31 January 2023 at 00:10 UTC to Thursday, 09 February 2023 at 18:45 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 : 362
Unique Edges : 438
Edges With Duplicates : 33
Total Edges : 471
Number of Edge Types : 5
Replies to : 107
Retweet : 221
MentionsInRetweet : 54
Mentions : 51
Tweet : 38
Self-Loops : 39
Reciprocated Vertex Pair Ratio : 0.00945626477541371
Reciprocated Edge Ratio : 0.0187353629976581
Connected Components : 31
Single-Vertex Connected Components : 7
Maximum Vertices in a Connected Component : 292
Maximum Edges in a Connected Component : 414
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.970105
Graph Density : 0.00326747371481918
Modularity : 0.769381
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 362 Twitter users whose recent tweets contained "3waters", 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 19:45 UTC.
The tweets in the network were tweeted over the 9-day, 18-hour, 35-minute period from Tuesday, 31 January 2023 at 00:10 UTC to Thursday, 09 February 2023 at 18:45 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 : 3waters
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:
[94] simon,wilson [94] explanation,#3waters [94] best,explanation [94] #3waters,simon [35] co,governance [30] save,money [29] te,huahua [29] money,robbed [29] states,water [29] water,royalties Top Word Pairs in Tweet in G1:
[90] best,explanation [90] simon,wilson [90] explanation,#3waters [90] #3waters,simon Top Word Pairs in Tweet in G2:
[8] co,governance [6] explaining,paywalled [6] jamienzherald,explaining [6] climate,action [6] urgently,climate [6] piece,jamienzherald [6] excellent,piece [6] 3waters,excellent [6] action,3waters [6] week,urgently Top Word Pairs in Tweet in G3:
[10] mayor,bashing [10] denied,operations [10] slums,thousands [10] crime,criminals [10] owners,poverty [10] chrishipkins,michaelwoodnz [10] living,gang [10] violent,crime [10] operations,mayor [10] news,violent Top Word Pairs in Tweet in G4:
[26] te,huahua [26] robbed,blind [26] 3waters,saving [26] save,money [26] money,save [26] saving,money [26] states,water [26] trying,spin [26] document,states [26] maori,trying Top Word Pairs in Tweet in G5:
[2] public,health [2] acc,balance [2] nat,acts [2] balance,sheet [2] delay,#climatecrisis Top Word Pairs in Tweet in G6:
[16] hitched,cart [16] cart,lies [10] national,act [8] brixiteers,hitched [8] british,tory [8] 3waters,anti [8] tory,brixiteers [8] anti,maori [8] nz1st,hitched [8] act,nz1st Top Word Pairs in Tweet in G7:
[13] income,insurance [9] tax,delayed [9] 3waters,live [9] election,nzlabour [9] nzlabour,kiwis [9] listening,concerns [9] delayed,3waters [9] kiwis,think [9] concerns,labour [9] think,listening Top Word Pairs in Tweet in G8:
[12] north,shore [10] auckland,polluted [10] sewerage,waste [10] shore,auckland [10] beach,north [10] waste,#3waters [10] polluted,sewerage [2] hitched,cart [2] #3waters,simon [2] tory,confusion Top Word Pairs in Tweet in G9:
[12] fist,ram [12] iron,fist [5] think,iq [5] longer,running [5] ram,swapping [5] #3waters,mahuta [5] mahuta,cousin [5] policy,bubba [5] functioning,retard [5] beta,mcanulty Top Word Pairs in Tweet in G10:
[5] hate,speech [5] down,racism [4] win,win [3] speech,nznationalparty [3] 3waters,good [3] rights,terrified [3] vile,bigots [3] good,argument [3] bullshit,income [3] standing,vile Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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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 G2:
Top Mentioned in G3:
Top Mentioned in G5:
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Top Mentioned in G7:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: