The graph represents a network of 3,424 Twitter users whose recent tweets contained "nzpol", 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 Saturday, 08 October 2022 at 01:59 UTC.
The tweets in the network were tweeted over the 7-day, 21-hour, 11-minute period from Friday, 30 September 2022 at 04:17 UTC to Saturday, 08 October 2022 at 01:28 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 : 3424
Unique Edges : 5638
Edges With Duplicates : 4773
Total Edges : 10411
Number of Edge Types : 5
Tweet : 1917
Retweet : 6034
MentionsInRetweet : 1059
Mentions : 841
Replies to : 560
Self-Loops : 1972
Reciprocated Vertex Pair Ratio : 0.00336215177713737
Reciprocated Edge Ratio : 0.00670177118238392
Connected Components : 161
Single-Vertex Connected Components : 125
Maximum Vertices in a Connected Component : 3200
Maximum Edges in a Connected Component : 9907
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.975815
Graph Density : 0.000534710902880733
Modularity : 0.464446
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 3,424 Twitter users whose recent tweets contained "nzpol", 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 Saturday, 08 October 2022 at 01:59 UTC.
The tweets in the network were tweeted over the 7-day, 21-hour, 11-minute period from Friday, 30 September 2022 at 04:17 UTC to Saturday, 08 October 2022 at 01:28 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 : nzpol
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:
[969] #nzpol,#politics [899] happening,#nzpol [898] friend,died [898] died,night [898] night,40s [898] 40s,illness [898] illness,ailments [898] ailments,nurse [898] nurse,triple [898] triple,jabbed Top Word Pairs in Tweet in G1:
[884] #nzpol,#politics [855] friend,died [855] died,night [855] night,40s [855] 40s,illness [855] illness,ailments [855] ailments,nurse [855] nurse,triple [855] triple,jabbed [855] jabbed,work Top Word Pairs in Tweet in G2:
[519] daily,blog [519] blog,#nzpol [267] efeso,collins [257] #resignjacinda,#nzpol [230] jacinda,ardern [220] independent,candidate [179] #nzpol,#resignjacinda [178] candidate,efeso [178] privacy,breach [178] abuse,power Top Word Pairs in Tweet in G3:
[518] tax,cuts [170] #nzpol,#nationalnotfittogovern [146] cuts,rich [130] tax,rate [96] like,luxon [91] luxon,tax [88] oecd,#nzpol [86] nz,economy [84] #housing,#nzpol [82] report,healthy Top Word Pairs in Tweet in G4:
[219] jacinda,ardern [207] #resignjacinda,#nzpol [108] control,information [71] ardern,control [71] single,source [71] source,truth [71] covid,19 [70] information,access [70] access,remember [70] remember,claimed Top Word Pairs in Tweet in G5:
[130] daily,zealand [130] zealand,big [130] big,groups [130] groups,10 [130] 10,gangsters [130] gangsters,robbing [130] robbing,jewelry [130] jewelry,stores [130] stores,bright [130] bright,daylight Top Word Pairs in Tweet in G6:
[150] daily,blog [150] blog,#nzpol [28] thedailyblognz,mediawatch [14] chris,trotter [14] trotter,daily [14] fuck,boy [11] boy,island [10] tax,cuts [8] national,act [8] nz,daily Top Word Pairs in Tweet in G7:
[21] neo,liberal [16] mental,health [10] abuse,victims [10] liberal,market [10] poor,people [10] health,care [8] occupational,therapy [7] nz,48 [7] 48,coalition [7] coalition,stretched Top Word Pairs in Tweet in G8:
[29] cost,living [23] living,crisis [22] graham,lowe [21] crisis,driven [21] driven,profiteering [18] alexander,abramov [18] russian,oligarch [18] sir,graham [15] profiteering,companies [15] companies,solutions Top Word Pairs in Tweet in G9:
[43] proposing,#nzpol [33] fairer,tax [30] status,quo [30] quo,time [30] time,fairer [30] tax,system [30] system,help [30] help,deal [30] deal,costs [30] costs,living Top Word Pairs in Tweet in G10:
[22] things,pogroms [12] tax,cuts [11] pogroms,mob [11] mob,violence [11] violence,mass [11] mass,murder [11] murder,jews [11] jews,things [11] pogroms,investigative [11] investigative,journalism 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 G7:
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 G4:
Top Mentioned in G5:
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:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: