The graph represents a network of 6,215 Twitter users whose tweets in the requested range contained "actonclimate", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 17 August 2022 at 02:42 UTC.
The requested start date was Wednesday, 17 August 2022 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, 2-hour, 34-minute period from Sunday, 14 August 2022 at 07:44 UTC to Tuesday, 16 August 2022 at 10:19 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 : 6215
Unique Edges : 439
Edges With Duplicates : 14915
Total Edges : 15354
Number of Edge Types : 5
Retweet : 7348
MentionsInRetweet : 7478
Mentions : 248
Tweet : 252
Replies to : 28
Self-Loops : 259
Reciprocated Vertex Pair Ratio : 0.00111217032094058
Reciprocated Edge Ratio : 0.00222186954451674
Connected Components : 83
Single-Vertex Connected Components : 30
Maximum Vertices in a Connected Component : 6009
Maximum Edges in a Connected Component : 15055
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 2.285581
Graph Density : 0.000163153764072045
Modularity : 0.277856
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 6,215 Twitter users whose tweets in the requested range contained "actonclimate", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 17 August 2022 at 02:42 UTC.
The requested start date was Wednesday, 17 August 2022 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, 2-hour, 34-minute period from Sunday, 14 August 2022 at 07:44 UTC to Tuesday, 16 August 2022 at 10:19 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 : actonclimate
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:
[1159] climate,change [1120] carl,sagan [1119] 1985,carl [1119] sagan,testified [1119] testified,before [1119] before,congress [1119] congress,climate [1119] change,imagine [1119] imagine,listened [1118] listened,time Top Word Pairs in Tweet in G1:
[1120] climate,change [1110] carl,sagan [1109] 1985,carl [1109] sagan,testified [1109] testified,before [1109] before,congress [1109] congress,climate [1109] change,imagine [1109] imagine,listened [1109] listened,time Top Word Pairs in Tweet in G2:
[18] scott,morrison [12] prime,minister [8] swore,himself [8] governor,general [6] climate,crisis [6] renewable,energy [5] fossil,fuel [5] climate,action [4] nomi4caulfield,voicesofcaulf [4] ministerial,appointments Top Word Pairs in Tweet in G3:
[58] world,richest [58] richest,responsible [58] responsible,2x [58] 2x,number [58] number,emissions [58] emissions,poorest [58] poorest,50 [58] 50,read [58] read,again [57] nextgenamerica,world Top Word Pairs in Tweet in G4:
[28] inflation,reduction [28] reduction,act [16] looking,forward [16] forward,potus [16] potus,signing [16] signing,inflation [16] act,law [16] law,lower [16] lower,costs [16] costs,health Top Word Pairs in Tweet in G5:
[4] mehr,keine [3] ctrebaul,beeasmarine [3] beeasmarine,wgarnews [3] wgarnews,buddyholly1111 [3] buddyholly1111,lizettewatson2 [3] lizettewatson2,joey_kinginwa [3] joey_kinginwa,lynlinking [3] lynlinking,bathroomreports [3] bathroomreports,lynettejoyme [2] opa1420,outofthewoodsi1 Top Word Pairs in Tweet in G6:
[12] mark,words [12] words,ve [12] ve,very [12] very,technology [12] technology,legitimately [12] legitimately,change [12] change,world [12] world,something [11] marcuscohenshow,mark [7] next,#renewableenergy Top Word Pairs in Tweet in G7:
[7] climate,change [7] #climateaction,today [7] today,enjoyed [7] enjoyed,attending [6] united,states [6] states,seriously [6] seriously,#actonclimate [6] #actonclimate,unless [6] unless,keep [6] keep,dirty Top Word Pairs in Tweet in G8:
[10] end,#plasticpollution [9] #plasticpollution,end [4] #climatecrisis,#climateemergency [3] #movietheater,#movietime [3] #movietime,#movietalkies [3] #movietalkies,#movietrailers [3] #actonclimate,#taxitotheendoftheworld [3] #taxitotheendoftheworld,#electroflesh [2] #climatecrisis,#actonclimate [2] türkiye,business Top Word Pairs in Tweet in G9:
[16] río,largo [16] largo,francia [16] francia,loire [16] loire,secando [16] secando,debido [16] debido,'sequía [16] 'sequía,histórica' [16] histórica',100 [16] 100,pueblos [16] pueblos,tienen Top Word Pairs in Tweet in G10:
[14] climate,change [10] #actonclimate,#watches4nature [10] planet,#actonclimate [9] adapt,climate [9] change,#rethink [9] #rethink,planet [9] #actonclimate,#limit1o5c [9] #limit1o5c,ajenglish [8] sumuelahi,adapt [4] drought,crisis Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
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: