The graph represents a network of 7,891 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, 24 March 2022 at 00:19 UTC.
The requested start date was Thursday, 24 March 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, 5-hour, 58-minute period from Monday, 21 March 2022 at 02:15 UTC to Wednesday, 23 March 2022 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 : 7891
Unique Edges : 4916
Edges With Duplicates : 12388
Total Edges : 17304
Number of Edge Types : 5
Mentions : 2606
Retweet : 5468
MentionsInRetweet : 7110
Tweet : 1923
Replies to : 197
Self-Loops : 2014
Reciprocated Vertex Pair Ratio : 0.0152929270212527
Reciprocated Edge Ratio : 0.030125152287075
Connected Components : 1227
Single-Vertex Connected Components : 571
Maximum Vertices in a Connected Component : 5183
Maximum Edges in a Connected Component : 13580
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.611381
Graph Density : 0.00014502090347268
Modularity : 0.503877
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,891 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, 24 March 2022 at 00:19 UTC.
The requested start date was Thursday, 24 March 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, 5-hour, 58-minute period from Monday, 21 March 2022 at 02:15 UTC to Wednesday, 23 March 2022 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:
[533] climate,change [352] sneak,peek [351] planet,#climatechange [334] first,sneak [334] peek,happens [334] happens,polar [334] polar,bear [334] bear,continue [334] continue,destroy [334] destroy,planet Top Word Pairs in Tweet in G1:
[84] climate,change [29] world,water [25] water,day [20] #climatecrisis,#climatechange [18] #climatechange,video [17] #worldwaterday,#water [17] happy,world [14] #water,#climatechange [13] theme,groundwater [13] making,invisible Top Word Pairs in Tweet in G2:
[69] climate,change [52] world,water [51] water,day [45] #climatechange,#waterday [40] #worldwaterday,#water [24] #climate,#savewater [24] #water,#leavingnoonebehind [22] #savewater,#cleanwater [21] #water,#climatechange [20] #all,#climatechange Top Word Pairs in Tweet in G3:
[42] climate,change [28] induced,#climatechange [22] fight,against [22] people,planet [21] water,crisis [21] #climatechange,#climatecrisis [20] consequences,#climatechange [20] human,health [19] against,#climatechange [19] crisis,induced Top Word Pairs in Tweet in G4:
[350] sneak,peek [332] first,sneak [332] peek,happens [332] happens,polar [332] polar,bear [332] bear,continue [332] continue,destroy [332] destroy,planet [332] planet,#climatechange [331] helptheplanft,first Top Word Pairs in Tweet in G5:
[45] #climatechange,#climateaction [37] climate,change [35] #environment,#climatechange [31] #climate,change [28] #climatechange,#globalwarming [25] outdoor,exertion [25] exertion,#march [25] #march,#climatechange [23] limit,prolonged [23] prolonged,outdoor Top Word Pairs in Tweet in G6:
[100] violence,against [100] against,women [69] women,girls [64] climate,change [50] girls,#climatechange [50] #climatechange,connected [50] connected,climate [50] change,heightens [50] heightens,risk [50] risk,violence Top Word Pairs in Tweet in G7:
[155] critically,important [153] groundwater,critically [153] important,healthy [153] healthy,functioning [153] functioning,ecosystems [153] ecosystems,such [153] such,wetlands [153] wetlands,rivers [153] rivers,well [153] well,playing Top Word Pairs in Tweet in G8:
[22] arikring,hazloe3 [22] hazloe3,ecowarriorss [22] ecowarriorss,msfowlersays [22] msfowlersays,christinemilne [22] christinemilne,mzjacobson [22] mzjacobson,charluv2011 [22] charluv2011,bsuhic [22] bsuhic,njdoc [22] njdoc,ddelich [19] profstrachan,arikring Top Word Pairs in Tweet in G9:
[76] looks,everyone [76] everyone,electric [76] electric,car [76] car,right [76] right,having [76] having,really [76] really,good [76] good,weekend [76] weekend,everyone [76] everyone,without Top Word Pairs in Tweet in G10:
[86] critical,role [85] role,early [85] early,warning [85] warning,systems [85] systems,early [85] early,action [81] world,meteorological [81] meteorological,day [46] today,world [46] day,year Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: