The graph represents a network of 8,414 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, 04 November 2021 at 00:20 UTC.
The requested start date was Thursday, 04 November 2021 at 00:01 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, 1-hour, 38-minute period from Monday, 01 November 2021 at 06:35 UTC to Wednesday, 03 November 2021 at 08:14 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 : 8414
Unique Edges : 5917
Edges With Duplicates : 14268
Total Edges : 20185
Number of Edge Types : 5
Tweet : 1980
Retweet : 5034
MentionsInRetweet : 6982
Mentions : 5522
Replies to : 667
Self-Loops : 2073
Reciprocated Vertex Pair Ratio : 0.0165809633749606
Reciprocated Edge Ratio : 0.0326210385052132
Connected Components : 1424
Single-Vertex Connected Components : 591
Maximum Vertices in a Connected Component : 4884
Maximum Edges in a Connected Component : 14980
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.46337
Graph Density : 0.000136847195999965
Modularity : 0.475896
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,414 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, 04 November 2021 at 00:20 UTC.
The requested start date was Thursday, 04 November 2021 at 00:01 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, 1-hour, 38-minute period from Monday, 01 November 2021 at 06:35 UTC to Wednesday, 03 November 2021 at 08:14 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:
[591] climate,change [548] human,rights [528] hiding,#climatechange [528] #climatechange,funding [528] funding,bruitality [528] bruitality,human [527] rights,violations [510] violations,corruption [501] corruption,uganda [479] continue,using Top Word Pairs in Tweet in G1:
[87] climate,change [48] #climatechange,#cop26 [46] #cop26,#climatechange [23] #cop26,#cop26glasgow [17] world,leaders [15] #climatechange,#climatecrisis [14] #climatechange,#climateaction [14] #climateaction,#climatechange [13] #climatecrisis,#climatechange [13] #climatechange,#climate Top Word Pairs in Tweet in G2:
[524] hiding,#climatechange [524] #climatechange,funding [524] funding,bruitality [524] bruitality,human [524] human,rights [523] rights,violations [506] violations,corruption [497] corruption,uganda [479] uganda,main [478] main,problem Top Word Pairs in Tweet in G3:
[49] right,right [49] right,global [49] global,climate [49] climate,alliance [47] calling,climate [46] join,right [46] alliance,global [46] global,partner [46] partner,unhumanrights [43] unhumanrights,calling Top Word Pairs in Tweet in G4:
[61] ignore,#climatechange [61] #climatechange,longer [61] longer,unless [61] unless,end [61] end,excuses [61] excuses,ll [61] ll,another [61] another,species [61] species,facing [61] facing,extinction Top Word Pairs in Tweet in G5:
[23] #climatechange,#cop26 [22] global,peace [19] #cop26,joebiden [19] joebiden,borisjohnson [16] drowning,empty [16] empty,climate [16] climate,promises [16] promises,#facetheclimateemergency [16] #facetheclimateemergency,#climatechange [15] aaravseth_,drowning Top Word Pairs in Tweet in G6:
[26] findings,#cop26 [25] #ipcc,experts [25] experts,present [25] present,november [25] november,latest [25] latest,#climatechange [25] #climatechange,findings [25] #cop26,2nd [25] 2nd,structured [25] structured,expert Top Word Pairs in Tweet in G7:
[21] nature,heart [21] heart,fight [21] fight,save [21] save,planet [21] planet,people [21] people,harness [21] harness,nature [21] nature,extraordinary [19] climate,change [18] #climateaction,#climatechange Top Word Pairs in Tweet in G8:
[24] enricomolinari,#climatechange [17] billion,people [16] #climatechange,bring [16] bring,near [16] near,unliveable [16] unliveable,conditions [16] conditions,billion [16] people,each [16] each,degree [16] degree,warming Top Word Pairs in Tweet in G9:
[40] effects,#climatechange [39] rich,poor [39] poor,powerful [39] powerful,powerless [39] powerless,suffer [39] suffer,effects [39] #climatechange,ecosystem [39] ecosystem,destruction [38] unbiodiversity,rich [38] destruction,# Top Word Pairs in Tweet in G10:
[22] climate,change [16] event,ground [16] #climatechange,mitigation [14] join,today [14] #cop26,event [14] #climatechange,severe [14] severe,threat [14] threat,migratory [14] migratory,animals [14] animals,know Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: