The graph represents a network of 2,504 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, 25 February 2023 at 09:56 UTC.
The tweets in the network were tweeted over the 10-day, 0-hour, 10-minute period from Wednesday, 15 February 2023 at 09:03 UTC to Saturday, 25 February 2023 at 09:13 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 : 2504
Unique Edges : 6411
Edges With Duplicates : 4474
Total Edges : 10885
Number of Edge Types : 5
Replies to : 715
Tweet : 1849
Retweet : 4202
Mentions : 1374
MentionsInRetweet : 2745
Self-Loops : 1909
Reciprocated Vertex Pair Ratio : 0.0085604223141675
Reciprocated Edge Ratio : 0.016975526948649
Connected Components : 149
Single-Vertex Connected Components : 115
Maximum Vertices in a Connected Component : 2274
Maximum Edges in a Connected Component : 10080
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.922907
Graph Density : 0.00112787977111173
Modularity : 0.42548
NodeXL Version : 1.0.1.510
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=289964
Data Import : The graph represents a network of 2,504 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, 25 February 2023 at 09:56 UTC.
The tweets in the network were tweeted over the 10-day, 0-hour, 10-minute period from Wednesday, 15 February 2023 at 09:03 UTC to Saturday, 25 February 2023 at 09:13 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:
[567] climate,change [551] daily,blog [548] blog,#nzpol [287] #auspol,#nzpol [280] maureen,pugh [258] worse,#nzpol [248] #nzpol,#jappol [248] #pqpoli,#onpoli [248] #aupol,#auspol [248] #cdnpoli,#pqpoli Top Word Pairs in Tweet in G1:
[160] climate,change [126] hawkes,bay [120] worse,#nzpol [108] #nzpol,#nzpolitics [81] storm,damage [80] 100x,worse [80] policy,cost [80] reporter,outlining [80] zb,reporter [80] lives,effects Top Word Pairs in Tweet in G2:
[249] climate,change [198] maureen,pugh [185] nzstuff,#cartoon [126] #nzpol,#cyclonegabrielle [124] #cartoon,#nzpol [120] sundaystartimes,nzstuff [118] part,play [118] emergency,part [118] play,sundaystartimes [105] #cyclonegabrielle,#nzpol Top Word Pairs in Tweet in G3:
[374] daily,blog [372] blog,#nzpol [76] climate,change [52] guest,blog [48] cyclone,gabrielle [47] minto,daily [47] national,mp [40] #nzpol,bryce_edwards [34] mp,refused [34] evidence,forced Top Word Pairs in Tweet in G4:
[115] worse,#nzpol [110] storms,missing [110] bigger,gabrielle [110] believe,deleted [110] check,sadly [110] gabrielle,climate [110] historical,storms [110] storms,bigger [110] missing,niwa_nz [110] biggest,historical Top Word Pairs in Tweet in G5:
[20] data,nz [20] radionz,nzherald [20] population,data [20] 100,000 [20] moh,government [20] nz,moh [20] 000,population [20] msm,nzstuff [20] death,vaccination [20] nzstuff,radionz Top Word Pairs in Tweet in G6:
[60] mp,#nzpol [60] uffindell,mp [60] sam,uffindell [6] template,co [5] damn,skippy [5] hard,believe [5] climate,change [4] maureen,pugh [4] yeah,#nzpol [4] shizzle,sam Top Word Pairs in Tweet in G7:
[57] rollout,zealand [57] stopping,booster [57] zealand,government [57] well,#nzpol [57] nzdsos,calls [57] calls,stop [57] england,stopping [57] booster,rollout [57] government,well [57] rollout,nzdsos Top Word Pairs in Tweet in G8:
[37] major,stories [37] interests,#nzpol [37] stories,ignored [37] questions,news [37] news,major [37] history,happened [37] disasters,modern [37] foreign,interests [37] ohio,chemical [37] biggest,environmental Top Word Pairs in Tweet in G9:
[5] drob256,draseemmalhotra [3] amazon,prime [3] #covid19,pandemic [3] left,wing [3] pretty,encouraging [3] right,smashed [3] #cyclonegabrielle,#cyclonegabriel [3] people,gonna [3] ridiculousness,left [3] #bots,#sockpuppets Top Word Pairs in Tweet in G10:
[10] mental,health [9] abuse,victims [8] neo,liberal [6] liberal,market [5] poor,people [5] food,security [5] market,fascist [4] disabled,poor [4] fascist,elitist [4] market,fascists Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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 G1:
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Top Mentioned in G7:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: