The graph represents a network of 2,331 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 Wednesday, 26 October 2022 at 10:26 UTC.
The tweets in the network were tweeted over the 8-day, 17-hour, 19-minute period from Monday, 17 October 2022 at 16:36 UTC to Wednesday, 26 October 2022 at 09:55 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 : 2331
Unique Edges : 4503
Edges With Duplicates : 4794
Total Edges : 9297
Number of Edge Types : 5
Retweet : 4544
MentionsInRetweet : 994
Replies to : 749
Tweet : 2170
Mentions : 840
Self-Loops : 2226
Reciprocated Vertex Pair Ratio : 0.0066
Reciprocated Edge Ratio : 0.0131134512219352
Connected Components : 176
Single-Vertex Connected Components : 138
Maximum Vertices in a Connected Component : 2046
Maximum Edges in a Connected Component : 8703
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.925797
Graph Density : 0.000926677750712085
Modularity : 0.403605
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 2,331 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 Wednesday, 26 October 2022 at 10:26 UTC.
The tweets in the network were tweeted over the 8-day, 17-hour, 19-minute period from Monday, 17 October 2022 at 16:36 UTC to Wednesday, 26 October 2022 at 09:55 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:
[814] blog,#nzpol [814] daily,blog [299] trickle,down [292] global,warming [291] gas,emissions [284] science,#nzpol [281] emissions,70 [281] farmers,16 [281] emissions,reasonable [281] livestock,emissions Top Word Pairs in Tweet in G1:
[414] daily,blog [414] blog,#nzpol [201] hamilton,west [148] jacinda,ardern [135] #nzpol,#resignjacinda [112] election,hamilton [107] west,#nzpol [99] labour,party [80] gaurav,sharma [69] ardern,won Top Word Pairs in Tweet in G2:
[297] trickle,down [191] daily,blog [191] blog,#nzpol [152] #nationalnotfittogovern,#nzpol [135] #nzpol,#nationalnotfittogovern [121] christopher,luxon [115] uffindell,report [110] tax,cuts [103] agenda,#nzpol [80] release,uffindell Top Word Pairs in Tweet in G3:
[219] livestock,emissions [219] gdp,48 [219] farmers,16 [219] 70,nz's [219] price,livestock [219] nz's,contribution [219] greenhouse,gas [219] population,gdp [219] contribution,global [219] emissions,reasonable Top Word Pairs in Tweet in G4:
[25] #nz,#newzealand [23] #starsflightlimited,#nft [23] #newzealand,#starsflightlimited [23] #business,#mentalhealth [23] #transparent,#democracynz [23] #mainstreammedia,#business [23] #nzpolitics,#nzpol [23] #nzpol,#mainstreammedia [23] #democracynz,#nzpolitics [23] #foryourfamily,#nz Top Word Pairs in Tweet in G5:
[55] big,alcohol [55] communities,court [55] local,communities [55] alcohol,sponsorship [55] support,upcoming [55] icymi,_chloeswarbrick [55] supermarkets,local [55] broadcast,sport [55] sponsorship,broadcast [55] upcoming,members Top Word Pairs in Tweet in G6:
[48] #greatreset,#un [48] #auspol,#nzpol [48] #depopulation,#trudeau [48] #myocarditis,#fda [48] #biden,#nhs [48] #biden,#trudeau [48] #justsayno,#biden [48] #soros,#nwo [48] #fauci,#biden [48] #depopulation,#globalistscum Top Word Pairs in Tweet in G7:
[12] neo,liberal [9] abuse,victims [9] health,care [9] mental,health [7] occupational,therapy [6] poor,people [6] liberal,market [5] shelter,food [5] disabled,poor [5] entitled,law Top Word Pairs in Tweet in G8:
[3] nzlabour,nznationalparty [3] referendum,commission [2] production,heard [2] travel,industry [2] agriculture,luxury [2] #nzpol,gmsharmanz [2] jantinetti,chrishipkins [2] population,gdp [2] 70,nz's [2] nzlabour,soft Top Word Pairs in Tweet in G9:
[18] relationships,#nzpol [18] people,work [18] encourage,people [18] income,support [18] sanctions,abatements [18] remove,relationship [18] penalise,relationships [18] work,penalise [18] support,encourage [18] abatements,income Top Word Pairs in Tweet in G10:
[42] ticketing,system [42] system,#nzpol [42] transport,spend [42] money,implementing [42] spend,money [42] implementing,ticketing [42] public,transport [5] social,investment [4] touch,ideas [4] concept,national 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 G5:
Top Replied-To in G6:
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:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
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: