The graph represents a network of 7,419 Twitter users whose tweets in the requested range contained "#climatechange", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 27 January 2022 at 01:25 UTC.
The requested start date was Thursday, 27 January 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 7-hour, 15-minute period from Thursday, 20 January 2022 at 00:58 UTC to Saturday, 22 January 2022 at 08:13 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 : 7419
Unique Edges : 5403
Edges With Duplicates : 12514
Total Edges : 17917
Number of Edge Types : 5
Retweet : 5326
MentionsInRetweet : 7451
Tweet : 1820
Mentions : 3030
Replies to : 290
Self-Loops : 1950
Reciprocated Vertex Pair Ratio : 0.0181740431900791
Reciprocated Edge Ratio : 0.0356992860142797
Connected Components : 981
Single-Vertex Connected Components : 408
Maximum Vertices in a Connected Component : 5035
Maximum Edges in a Connected Component : 14717
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.324805
Graph Density : 0.000173056209361818
Modularity : 0.495722
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,419 Twitter users whose tweets in the requested range contained "#climatechange", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 27 January 2022 at 01:25 UTC.
The requested start date was Thursday, 27 January 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 7-hour, 15-minute period from Thursday, 20 January 2022 at 00:58 UTC to Saturday, 22 January 2022 at 08:13 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 : GraphServerTwitterSearch
Graph Term : #climatechange
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 Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[495] climate,change [242] 100,24hrs [242] 24hrs,follow [242] follow,treedefi [242] treedefi,quoted [242] quoted,tweet [242] tweet,pin [242] pin,hashtags [242] hashtags,below [242] below,#fridays4future Top Word Pairs in Tweet in G1:
[65] climate,change [37] global,warming [34] billion,#bullshitjobs [24] action,#climatechange [23] #globalwarming,#climatechange [18] #covid19,spread [18] #climatechange,#nytimes [18] #nytimes,#guardian [18] #guardian,#wsj [18] spread,mutate Top Word Pairs in Tweet in G2:
[33] week,51st [33] 51st,#climatestrike [33] #climatestrike,#india [33] #india,#climatechange [33] #climatechange,think [33] think,doing [33] doing,help [33] help,slow [33] climate,justice [33] justice,means Top Word Pairs in Tweet in G3:
[53] climate,change [18] #climatechange,#climatecrisis [11] #climatechange,#climateaction [10] #environment,#climatechange [10] #climate,#climatechange [8] read,more [8] combat,#climatechange [8] #temperature,#climatechange [7] climate,crisis [7] #jobs,#climatechange Top Word Pairs in Tweet in G4:
[241] 100,24hrs [241] 24hrs,follow [241] follow,treedefi [241] treedefi,quoted [241] quoted,tweet [241] tweet,pin [241] pin,hashtags [241] hashtags,below [241] below,#fridays4future [240] itsprettyjamie,100 Top Word Pairs in Tweet in G5:
[30] climate,change [16] #climatecrisis,#climatechange [11] #climatechange,#climateemergency [10] #climateemergency,#climateaction [10] #climateaction,#climatejustice [10] #climatejustice,#climateactionnow [10] #climateactionnow,#greennewdeal [10] european,energy [10] energy,crisis [10] crisis,really Top Word Pairs in Tweet in G6:
[34] #globalwarming,#climatechange [28] #climatechange,#globalwarming [27] climate,change [24] arctic,103 [24] 103,years [24] years,ago [24] ago,vs [24] vs,today [24] today,#globalwarming [23] unhealthy,everyone Top Word Pairs in Tweet in G7:
[41] climate,change [18] wef,enricomolinari [18] #climatechange,video [17] #climatechange,#ai [14] global,risks [13] 2020,wef [13] enricomolinari,#climatechange [13] top,risks [12] #fintech,#finserv [12] risks,report Top Word Pairs in Tweet in G8:
[24] planting,trees [24] trees,#actonclimate [24] #actonclimate,carbon [24] carbon,dioxide [24] dioxide,main [24] main,gas [24] gas,causes [24] causes,#climatechange [24] #climatechange,trees [23] danielaovallesm,planting Top Word Pairs in Tweet in G9:
[13] #unep50,year [13] more,action [13] action,worldwide [13] worldwide,overcome [13] overcome,#climatechange [11] #climatechange,biodiversity [11] #climatechange,major [11] major,risk [11] risk,multiplier [11] multiplier,conflicts Top Word Pairs in Tweet in G10:
[36] time,come [36] come,increasingly [36] increasingly,see [36] see,#camels [36] #camels,wading [36] wading,#snow [35] #snow,hot [35] hot,#sand [35] #sand,#climatechange [34] _globalcrisis_,time Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: