The graph represents a network of 1 695 Twitter users whose recent tweets contained "(cyclones OR hurricanes OR typhoons OR tornados) climate", 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 Friday, 02 April 2021 at 07:52 UTC.
The tweets in the network were tweeted over the 7-day, 18-hour, 10-minute period from Thursday, 25 March 2021 at 12:22 UTC to Friday, 02 April 2021 at 06:32 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 : 1695
Unique Edges : 3097
Edges With Duplicates : 328
Total Edges : 3425
Number of Edge Types : 5
Retweet : 919
Tweet : 280
MentionsInRetweet : 1491
Mentions : 490
Replies to : 245
Self-Loops : 292
Reciprocated Vertex Pair Ratio : 0,0194009530292716
Reciprocated Edge Ratio : 0,0380634390651085
Connected Components : 356
Single-Vertex Connected Components : 161
Maximum Vertices in a Connected Component : 581
Maximum Edges in a Connected Component : 2056
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4,88155
Graph Density : 0,00104307063277297
Modularity : 0,764878
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 1 695 Twitter users whose recent tweets contained "(cyclones OR hurricanes OR typhoons OR tornados) climate", 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 Friday, 02 April 2021 at 07:52 UTC.
The tweets in the network were tweeted over the 7-day, 18-hour, 10-minute period from Thursday, 25 March 2021 at 12:22 UTC to Friday, 02 April 2021 at 06:32 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 : (cyclones OR hurricanes OR typhoons OR tornados) climate
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[958] climate,change [163] hurricanes,climate [159] change,affects [157] tropical,cyclones [155] climate,crisis [144] affects,hurricanes [140] hurricane,experts [140] experts,reviewed [140] reviewed,over [140] over,90 Top Word Pairs in Tweet in G1:
[163] climate,change [135] wondering,climate [135] change,affects [135] affects,hurricanes [135] hurricanes,panel [135] panel,hurricane [135] hurricane,experts [135] experts,reviewed [135] reviewed,over [135] over,90 Top Word Pairs in Tweet in G2:
[163] climate,change [66] report,suggests [64] hurricanes,report [42] need,prepare [42] prepare,stronger [40] change,means [40] parts,canada [40] canada,need [40] stronger,hurricanes [31] due,climate Top Word Pairs in Tweet in G3:
[132] climate,change [131] science,under [131] under,attack [131] attack,past [131] past,years [131] years,hydroxychloroquine [131] hydroxychloroquine,raking [131] raking,leaves [131] leaves,prevent [131] prevent,forest Top Word Pairs in Tweet in G4:
[20] bridgetholmstro,jasonpaisley [20] jasonpaisley,tfer68 [20] tfer68,sapienthetero [20] sapienthetero,stormsignalsa [20] stormsignalsa,mentalmal1 [20] mentalmal1,halbrow68884227 [20] halbrow68884227,wayneallanh [20] wayneallanh,rob46401650 [20] rob46401650,mikedel21893959 [20] mikedel21893959,thedisproof Top Word Pairs in Tweet in G5:
[54] hurricanes,typhoons [49] climate,change [38] probably,increasing [35] increasing,due [32] sciencebrief,review [30] tropical,cyclones [26] ueaenv,tyndallcentre [26] probably,fueling [26] fueling,more [26] more,powerful Top Word Pairs in Tweet in G6:
[80] iamsrk,sir [80] sir,initiatives [80] initiatives,taking [80] taking,fight [80] fight,climate [80] climate,crisis [80] crisis,india [80] india,frequent [80] frequent,floods [80] floods,droughts Top Word Pairs in Tweet in G7:
[45] connections,between [40] reviewing,nearly [40] nearly,100 [40] 100,peer [40] peer,reviewed [40] reviewed,studies [40] studies,team [40] team,scientists [40] scientists,reaffirmed [40] reaffirmed,friday Top Word Pairs in Tweet in G8:
[2] climate,change Top Word Pairs in Tweet in G9:
[2] climate,crisis [2] wind,shear [2] interpol_hq,fbichicago [2] fbichicago,chicagotribune [2] chicagotribune,webstergtarpley [2] webstergtarpley,rabertpetrosian [2] rabertpetrosian,catturd2 [2] catturd2,fbi [2] fbi,metcc [2] metcc,metpoliceuk Top Word Pairs in Tweet in G10:
[28] climate,change [28] change,longer [28] longer,distant [28] distant,threat [28] threat,something [28] something,impacting [28] impacting,economies [28] economies,2018 [28] 2018,sustained [28] sustained,91 Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G8:
Top Mentioned in G9:
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: