The graph represents a network of 8,231 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, 13 October 2022 at 23:36 UTC.
The requested start date was Thursday, 13 October 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, 16-hour, 54-minute period from Monday, 10 October 2022 at 07:06 UTC to Thursday, 13 October 2022 at 00:00 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 : 8231
Unique Edges : 5417
Edges With Duplicates : 12439
Total Edges : 17856
Number of Edge Types : 5
Mentions : 2768
Retweet : 5470
MentionsInRetweet : 7518
Replies to : 258
Tweet : 1842
Self-Loops : 1937
Reciprocated Vertex Pair Ratio : 0.0175047740292807
Reciprocated Edge Ratio : 0.0344072568032531
Connected Components : 1312
Single-Vertex Connected Components : 523
Maximum Vertices in a Connected Component : 4635
Maximum Edges in a Connected Component : 12194
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 5.425654
Graph Density : 0.000141583112062052
Modularity : 0.529565
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 8,231 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, 13 October 2022 at 23:36 UTC.
The requested start date was Thursday, 13 October 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, 16-hour, 54-minute period from Monday, 10 October 2022 at 07:06 UTC to Thursday, 13 October 2022 at 00:00 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:
[751] affected,looks [751] states,affected [751] #floodsinnigeria,bigger [751] bigger,news [751] believe,#floodsinnigeria [751] scene,waterworld [751] looks,scene [751] news,36 [751] 36,states [750] aaravseth_,believe Top Word Pairs in Tweet in G1:
[685] news,36 [685] scene,waterworld [685] states,affected [685] looks,scene [685] 36,states [685] affected,looks [685] bigger,news [685] believe,#floodsinnigeria [685] #floodsinnigeria,bigger [684] aaravseth_,believe Top Word Pairs in Tweet in G2:
[104] more,frequent [101] frequent,more [101] intense,longer [101] more,intense [100] becoming,more [87] heat,waves [86] longer,deadlier [85] waves,becoming [85] #climatechange,heat [71] unep,#climatechange Top Word Pairs in Tweet in G3:
[58] climate,change [22] global,warming [20] #globalwarming,#climatechange [14] #climatechange,#climatecrisis [13] #climatechange,#nytimes [13] #guardian,#wsj [13] #nytimes,#guardian [12] #temperature,#climatechange [11] #climatechange,#globalwarming [11] learn,more Top Word Pairs in Tweet in G4:
[19] fight,#climatechange [18] climate,change [17] #fridaysforfuture,#climatechange [16] #climatecrisis,#climateaction [15] #climateaction,#globalwarming [15] #climatechange,#greenwashing [15] #globalwarming,#fridaysforfuture [11] rosmel,rodríguez [10] #floodsinnigeria,bigger [10] scene,waterworld Top Word Pairs in Tweet in G5:
[49] #renewables,#climatechange [48] #climatechange,#sustainability [42] #environment,#energy [42] #sustainability,#environment [42] #solar,#renewables [42] #svenvanzanten,#solar [37] #tesla,#ev [36] #energy,#cleanenergy [36] #solarpower,#energietransitie [36] #klimaat,#nederland Top Word Pairs in Tweet in G6:
[264] follow,earthlingeco [264] #bnbchain,projects [264] last,24h [264] etlg,12 [264] earthlingeco,comment [264] projects,last [264] hours,follow [264] mentioned,#bnbchain [264] 24h,000 [264] 000,etlg Top Word Pairs in Tweet in G7:
[73] resources,energy [73] energy,fossil [72] fossil,fuels [72] wasting,resources [66] billion,non [54] non,contributing [48] contributing,#bullshitjobs [41] bullshitjobs,dear [40] #bullshitjobs,wasting [40] causing,#climatechange Top Word Pairs in Tweet in G8:
[189] worst,drought [189] hurricane,1905 [189] think,re [189] biggest,hurricane [189] making,case [189] 1930s,biggest [189] media,worst [189] re,making [189] 1905,think [189] drought,1930s Top Word Pairs in Tweet in G9:
[25] pcarterclimate,ipcc [22] 10,2022 [22] larger,city [22] city,faster [22] regions,larger [22] faster,warming [22] temperatures,today [22] 30,faster [22] rural,regions [22] overall,estimated Top Word Pairs in Tweet in G10:
[51] young,girls [35] indigenous,people [35] underage,girls [35] first,indigenous [35] odd,throwing [35] girls,something [35] throwing,underage [35] something,odd [35] people,minorities [35] minorities,young Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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: