The graph represents a network of 8,372 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, 17 December 2020 at 01:24 UTC.
The requested start date was Thursday, 17 December 2020 at 01:01 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, 51-minute period from Monday, 14 December 2020 at 03:28 UTC to Wednesday, 16 December 2020 at 09:19 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 : 8372
Unique Edges : 6383
Edges With Duplicates : 11573
Total Edges : 17956
Number of Edge Types : 5
Retweet : 5029
MentionsInRetweet : 7247
Tweet : 1918
Mentions : 3352
Replies to : 410
Self-Loops : 2027
Reciprocated Vertex Pair Ratio : 0.0162020730602798
Reciprocated Edge Ratio : 0.0318875024757378
Connected Components : 1392
Single-Vertex Connected Components : 685
Maximum Vertices in a Connected Component : 5276
Maximum Edges in a Connected Component : 13753
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.003084
Graph Density : 0.000144088328970921
Modularity : 0.544099
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 8,372 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, 17 December 2020 at 01:24 UTC.
The requested start date was Thursday, 17 December 2020 at 01:01 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, 51-minute period from Monday, 14 December 2020 at 03:28 UTC to Wednesday, 16 December 2020 at 09:19 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 : #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:
[1035] climate,change [576] more,climate [568] australian,government [564] australian,australian [564] government,more [564] retweet,agree [563] change,retweet [562] tolouisehansen,australian [177] watch,video [177] #climateaction,#climatechange Top Word Pairs in Tweet in G1:
[86] climate,change [61] #climateaction,#climatechange [58] #climatechange,#climateaction [50] #climatechange,#climatechangeisreal [48] grey,cross [44] cross,studios [43] studios,#art [39] #art,#climatechange [29] #climatechangeisreal,#climateaction [29] #climateaction,#climatechangeart Top Word Pairs in Tweet in G2:
[70] building,cleaner [70] cleaner,healthier [70] healthier,worth [70] worth,getting [70] getting,excited [70] excited,excited [70] excited,connect [69] euclimateaction,building [53] #biodiversity,loss [37] covid,19 Top Word Pairs in Tweet in G3:
[86] climate,change [28] #climateaction,#climatechange [22] #climatechange,#climateaction [20] #climatechange,#globalwarming [19] #climate,#climatechange [19] #climatechange,#climatecrisis [12] carbon,footprint [11] #environment,#climatechange [11] #climatechange,#environment [9] #climatechange,#climate Top Word Pairs in Tweet in G4:
[539] climate,change [534] australian,australian [534] australian,government [534] government,more [534] more,climate [534] change,retweet [534] retweet,agree [533] tolouisehansen,australian [48] #climatechange,#auspol [44] live,pics Top Word Pairs in Tweet in G5:
[30] climate,change [22] such,thing [22] australian,government [22] taking,#climatechange [21] lost,coal [21] coal,wine [21] wine,lobster [21] lobster,sales [21] sales,china [21] china,pissed Top Word Pairs in Tweet in G6:
[20] #globalwarming,#climatechange [12] climate,change [10] renewable,energy [9] #climateaction,#climatechange [8] #climate,#climatechange [8] #climatechange,#globalwarming [8] joebiden,please [7] read,#wemeantoclean [7] #wemeantoclean,#cleandelhi [7] #cleandelhi,#swachhbharat Top Word Pairs in Tweet in G7:
[62] save,world [62] world,going [62] going,stop [62] stop,working [58] working,#davidgraeber [54] #davidgraeber,#bullshitjobs [47] #bullshitjobs,#climatechange [40] glaciers,one [40] one,sensitive [40] sensitive,indicators Top Word Pairs in Tweet in G8:
[89] breached,global [89] global,annual [89] annual,threshold [89] threshold,400ppm [89] 400ppm,2015 [89] 2015,four [89] four,years [89] years,later [89] later,crossed [89] crossed,410ppm Top Word Pairs in Tweet in G9:
[169] blinks,planet [169] planet,watch [169] watch,video [169] video,ukinkorea [135] calling,blinks [135] blinks,climate [135] climate,action [135] action,area [135] area,#cop26 [135] #cop26,blinks Top Word Pairs in Tweet in G10:
[31] tweets,thought [31] thought,provoking [31] provoking,inspiring [31] inspiring,great [31] great,work [31] work,independent [31] independent,twitter [31] twitter,handle [31] handle,trying [31] trying,create Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: