The graph represents a network of 15,623 Twitter users whose recent tweets contained "climatecrisis", 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 Sunday, 30 October 2022 at 12:06 UTC.
The tweets in the network were tweeted over the 2-day, 7-hour, 5-minute period from Friday, 28 October 2022 at 03:01 UTC to Sunday, 30 October 2022 at 10:06 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 : 15623
Unique Edges : 27198
Edges With Duplicates : 7985
Total Edges : 35183
Number of Edge Types : 5
Tweet : 3290
Retweet : 13099
MentionsInRetweet : 12287
Mentions : 4653
Replies to : 1854
Self-Loops : 3567
Reciprocated Vertex Pair Ratio : 0.0146561857184837
Reciprocated Edge Ratio : 0.0288889693371466
Connected Components : 1922
Single-Vertex Connected Components : 1150
Maximum Vertices in a Connected Component : 11917
Maximum Edges in a Connected Component : 30610
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.558362
Graph Density : 0.000113180022825792
Modularity : 0.679349
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 15,623 Twitter users whose recent tweets contained "climatecrisis", 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 Sunday, 30 October 2022 at 12:06 UTC.
The tweets in the network were tweeted over the 2-day, 7-hour, 5-minute period from Friday, 28 October 2022 at 03:01 UTC to Sunday, 30 October 2022 at 10:06 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 : climatecrisis
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:
[1769] #climatecrisis,#climateemergency [1168] climate,change [1066] #climate,#energy [975] #climateemergency,#climatecrisis [959] message,world [957] father,scientistrebel1 [957] co,azb1wprwwg [957] world,scientist [957] scientist,father [957] scientistrebel1,co Top Word Pairs in Tweet in G1:
[870] father,scientistrebel1 [870] scientist,father [870] scientistrebel1,co [870] message,world [870] world,scientist [870] co,azb1wprwwg [870] azb1wprwwg,#climatecrisis [727] care,children [727] children,#climatecrisis [727] uprising,force Top Word Pairs in Tweet in G2:
[317] #climatecrisis,#climateemergency [289] climate,change [257] #climatecrisis,#climateaction [210] #climateemergency,#climatecrisis [184] #cop27,#climatecrisis [144] climate,plans [113] loss,damage [111] #climatechange,#climatecrisis [108] fact,renewables [108] communicating,climate Top Word Pairs in Tweet in G3:
[245] hartley,brewer [245] julia,hartley [243] #bbcqt,#climatecrisis [239] bbc,flagship [239] bullshit,bbc [239] stop,ride [239] wanna,#bbcqt [239] voted,paid [239] programme,stop [239] ride,wanna Top Word Pairs in Tweet in G4:
[102] #climateemergency,#climatecrisis [87] #climatecrisis,#climateemergency [78] climate,change [55] people,responsible [54] responsible,#climatecrisis [54] adapted,world [54] impacts,well [54] stand,communities [54] suffering,impacts [54] world,stand Top Word Pairs in Tweet in G5:
[920] #climate,#energy [811] implement,#actonclimate [793] #energy,#renewables [633] #climatecrisis,#climate [452] #actonclimate,#climate [430] #actonclimate,#climatecrisis [417] solutions,time [417] renewable,energy [415] #renewables,#solar [413] 100,renewable Top Word Pairs in Tweet in G6:
[566] #climatecrisis,#climateemergency [516] #climatebrawl,#climatecrisis [189] #climatecrisis,#climatestrike [167] #fridaysforfuture,#climatecrisis [160] #stopfossilfuel,#climatechange [154] #climatestrike,#climatedenial [152] #climatedenial,#endfossilfuels [138] climate,change [136] #climatechange,#belikewater [135] climate,denialism Top Word Pairs in Tweet in G7:
[424] #emissionsgap,report [369] climate,disaster [346] 2022,#emissionsgap [341] unep,#climatecrisis [340] #cop27,2022 [340] #climatecrisis,#cop27 [339] emissions,avoid [339] urgent,transformations [339] cut,emissions [339] transformations,cut Top Word Pairs in Tweet in G8:
[367] #climatecrisis,#climateemergency [360] recorded,#climatecrisis [360] november,hottest [360] hottest,recorded [360] experience,temperatures [360] france,experience [360] temperatures,30c [360] 30c,week [360] week,november [18] summer,2022 Top Word Pairs in Tweet in G9:
[68] indonesia,coastal [68] #chasingtheshadow,#pukulmundurkrisisiklim [68] reached,10 [68] gembong,indonesia [68] floods,reached [68] uninhabitable,#chasingtheshadow [68] coastal,abrasion [68] km,haunts [68] abrasion,tidal [68] 10,km Top Word Pairs in Tweet in G10:
[231] climate,change [210] #climateemergency,#climatecrisis [208] #sunak,#climateemergency [208] change,#cop27 [208] position,climate [208] sunak's,position [208] #cop27,#sunak [208] rishi,sunak's [208] doubt,rishi [36] etc,etc Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: