The graph represents a network of 16,804 Twitter users whose recent tweets contained "#climateactionnow OR #climateactivism OR #climateactivist", 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, 31 July 2022 at 14:01 UTC.
The tweets in the network were tweeted over the 3-day, 20-hour, 7-minute period from Wednesday, 27 July 2022 at 16:59 UTC to Sunday, 31 July 2022 at 13:06 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 : 16804
Unique Edges : 21224
Edges With Duplicates : 28497
Total Edges : 49721
Number of Edge Types : 5
Retweet : 15852
MentionsInRetweet : 29136
Mentions : 2635
Tweet : 1446
Replies to : 652
Self-Loops : 1570
Reciprocated Vertex Pair Ratio : 0.00797880348056484
Reciprocated Edge Ratio : 0.0158312921918872
Connected Components : 751
Single-Vertex Connected Components : 414
Maximum Vertices in a Connected Component : 15227
Maximum Edges in a Connected Component : 47923
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.170629
Graph Density : 0.000118565955289351
Modularity : 0.423137
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 16,804 Twitter users whose recent tweets contained "#climateactionnow OR #climateactivism OR #climateactivist", 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, 31 July 2022 at 14:01 UTC.
The tweets in the network were tweeted over the 3-day, 20-hour, 7-minute period from Wednesday, 27 July 2022 at 16:59 UTC to Sunday, 31 July 2022 at 13:06 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 : #climateactionnow OR #climateactivism OR #climateactivist
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:
[11812] urgent,#climateactionnow [11811] spread,word [11799] licypriyak,ecotars [11795] tag,friends [11788] #climatechange,affecting [11787] affecting,cities [11787] cities,urgent [11787] #climateactionnow,spread [11786] max,repost [11786] repost,heat Top Word Pairs in Tweet in G1:
[11758] licypriyak,ecotars [11757] #climatechange,affecting [11757] tag,friends [11756] max,repost [11756] repost,heat [11756] heat,spreading [11756] spreading,planet [11756] planet,#climatechange [11756] affecting,cities [11756] cities,urgent Top Word Pairs in Tweet in G2:
[378] #climateaction,#climateactionnow [321] climate,change [241] #climateactionnow,#climatecrisis [161] lifthumanity1,pacja1 [161] pacja1,gifsep4climate [161] gifsep4climate,ecocykle [161] ecocykle,bfpinitiative [158] acsea_54,aacjinaction [158] aacjinaction,aea_initiative [158] aea_initiative,fmenvng Top Word Pairs in Tweet in G3:
[56] #climateemergency,#climateactionnow [38] climate,change [37] #climatecrisis,#climateactionnow [33] #climateactionnow,#climateemergency [31] #climateactionnow,#climatecrisis [28] #climatecrisis,#climateemergency [26] #ksnuggets,#patrioticnigerian [26] #patrioticnigerian,#climateactivist [13] क,स [11] क,ल Top Word Pairs in Tweet in G4:
[31] climate,change [29] #climateactionnow,#climatechange [28] #climatecrisis,#climateactionnow [26] ieiyf_,aimeemehan [26] aimeemehan,ladypoop2 [26] ladypoop2,kelly_ashie [26] kelly_ashie,popsiewagga1 [26] popsiewagga1,tiddapage [26] tiddapage,vernveitch [26] vernveitch,kerrymcnasty Top Word Pairs in Tweet in G5:
[85] #ingenieria,#electrica [85] #electrica,#energia [85] #energia,#solar [85] #ongrid,#offgrid [85] #ecuador,#guayas [85] #guayas,#guayaquil [85] #guayaquil,#gye [85] #gye,#electrical [85] #electrical,#engineering [85] #engineering,#solar Top Word Pairs in Tweet in G6:
[73] vital,message [73] message,cutting [73] cutting,tory [73] tory,leadership [73] leadership,nonsense [73] nonsense,end [73] end,obsession [73] obsession,growth [73] growth,focus [73] focus,real Top Word Pairs in Tweet in G7:
[36] #savesoil,#climateactionnow [34] global,soil [31] 90,global [31] soil,eroded [31] eroded,2050 [31] 2050,act [31] act,unccd [31] unccd,#savesoil [19] #climatecrisis,#climateactionnow [14] #consciousplanet,cpsavesoil Top Word Pairs in Tweet in G8:
[11] em,#genz [11] #genz,future [11] future,protect [11] protect,ve [11] ve,#voteblue2022 [11] #voteblue2022,#demvoice1 [11] #demvoice1,#guncontrolnow [11] #guncontrolnow,#saygay [11] #saygay,#abortionrightsarehumanrights [11] #abortionrightsarehumanrights,#climateactionnow Top Word Pairs in Tweet in G9:
[6] hawaii,aloha [6] aloha,coal [6] coal,#climateactionnow [6] #climateactionnow,pollypapaya [6] pollypapaya,pollypapaya [6] pollypapaya,coopah [6] coopah,scottimmordino [6] scottimmordino,kjoerwin [6] kjoerwin,tucsonrosie2001 [6] tucsonrosie2001,trom771 Top Word Pairs in Tweet in G10:
[7] #climateemergency,#climateactionnow [4] #exposeneoliberalism,stop [4] stop,hypocrisy [2] 10,reported [2] reported,killed [2] killed,thousands [2] thousands,stranded [2] stranded,millions [2] millions,worth [2] worth,property Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: