The graph represents a network of 14,666 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, 16 October 2022 at 12:11 UTC.
The tweets in the network were tweeted over the 2-day, 16-hour, 40-minute period from Thursday, 13 October 2022 at 17:28 UTC to Sunday, 16 October 2022 at 10:09 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 : 14666
Unique Edges : 28978
Edges With Duplicates : 9057
Total Edges : 38035
Number of Edge Types : 5
Mentions : 4184
Replies to : 1592
Retweet : 13785
MentionsInRetweet : 15449
Tweet : 3025
Self-Loops : 3365
Reciprocated Vertex Pair Ratio : 0.0172565771630052
Reciprocated Edge Ratio : 0.0339276787202133
Connected Components : 1491
Single-Vertex Connected Components : 824
Maximum Vertices in a Connected Component : 11223
Maximum Edges in a Connected Component : 33739
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.425789
Graph Density : 0.000139508247492327
Modularity : 0.640402
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 14,666 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, 16 October 2022 at 12:11 UTC.
The tweets in the network were tweeted over the 2-day, 16-hour, 40-minute period from Thursday, 13 October 2022 at 17:28 UTC to Sunday, 16 October 2022 at 10:09 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:
[1645] #climatecrisis,#climateemergency [1493] #actonclimate,#climatecrisis [1379] #climatecrisis,#climate [1317] implement,#actonclimate [1202] #climate,#energy [1066] climate,change [1030] north,sea [1023] solutions,implement [1021] #energy,#tech [1021] #tech,#greennewdeal Top Word Pairs in Tweet in G1:
[512] angry,driver [492] #climatecrisis,#juststopoil [485] london,#climatecrisis [481] shoreditch,angry [481] reacts,daily [481] juststop_oil,roadblocks [481] roadblocks,london [481] disruption,shoreditch [481] daily,juststop_oil [481] major,disruption Top Word Pairs in Tweet in G2:
[1291] #actonclimate,#climatecrisis [1157] implement,#actonclimate [1051] #climate,#energy [1039] #climatecrisis,#climate [901] solutions,implement [900] #tech,#greennewdeal [900] #energy,#tech [898] offshore,wind [898] reactors,solutions [898] wind,north Top Word Pairs in Tweet in G3:
[349] climate,change [340] #climatecrisis,#climateemergency [280] #climatebrawl,#climatecrisis [233] rural,women [184] affected,#climatecrisis [145] developing,countries [144] countries,affected [142] #climatecrisis,#climatestrike [127] #climateemergency,#climatecrisis [123] #putin,#nuclearwar Top Word Pairs in Tweet in G4:
[87] #climatecrisis,#climatejustice [83] #climatestrike,#climatecrisis [80] #breakingnews,#sunday [80] #trendingnews,#trending [80] #climatetech22,#trendingnews [80] #trending,#news [80] #usa,#climatescam [80] #climatescam,#climateaction [80] #climateaction,#climatestrike [80] #climateactivists,#climatetech22 Top Word Pairs in Tweet in G5:
[505] #climatebrawl,#climatecrisis [505] #climatecrisis,#climateemergency [181] climate,change [147] #climatecrisis,#climateaction [125] #carbon,#sustainability [88] dark,matter [76] #sustainability,#sdgs [76] #climateaction,#carbon [76] #climatecrisis,#climatescam [73] #climateaction,#climatecrisis Top Word Pairs in Tweet in G6:
[78] #climatecrisis,#climateemergency [77] #climatechange,#climatecrisis [57] climate,change [33] #climateemergency,#climatecrisis [33] #climatecrisis,#climateactionnow [26] #climateaction,#climatecrisis [25] #climatecrisis,fun [25] #climatecrisis,#netzero [25] fun,facts [24] #consciousplanet,cpsavesoil Top Word Pairs in Tweet in G7:
[554] #ส,องทว [554] ถกเถ,ยงก [554] ภาพเข,ยน [554] แต,ว [554] อเทศแปะใส,ภาพเข [554] ม,อากาศกำล [554] อากาศกำล,งกลายเป [554] นจร,งๆ [554] งกลายเป,นหายนะของทานตะว [554] ตยามเช,า Top Word Pairs in Tweet in G8:
[128] 10,2022 [119] #climatecrisis,worse [116] victoria,carbon [116] carbon,dense [116] dan,andrews [116] prevail,dan [116] asap,equivalent [116] native,forests [116] equivalent,730 [116] forests,world Top Word Pairs in Tweet in G9:
[104] climate,action [85] #climatecrisis,#climateaction [78] save,planet [77] forms,climate [77] tomato,soup [77] gogh's,sunflowers [77] #climateaction,#vangogh [77] prefer,forms [77] soup,van [77] throwing,tomato Top Word Pairs in Tweet in G10:
[109] #climatecrisis,#climateemergency [66] #climateaction,#climatecrisis [38] #greenparty,#ecosocialism [38] #climateemergency,#climatestrike [38] #ecosocialism,#climateaction [35] #climatecrisis,#climatecatastrophe [34] liz,truss [34] water,crisis [34] #climatecrisis,water [34] wateraiduk,liz 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 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 G4:
Top Mentioned in G5:
Top Mentioned in G6:
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:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: