The graph represents a network of 9,717 Twitter users whose tweets in the requested range contained "Energy (Clean OR renewable OR green)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 12 July 2022 at 06:55 UTC.
The requested start date was Tuesday, 12 July 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 4-day, 1-hour, 19-minute period from Thursday, 07 July 2022 at 22:41 UTC to Tuesday, 12 July 2022 at 00:01 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 : 9717
Unique Edges : 5364
Edges With Duplicates : 11663
Total Edges : 17027
Number of Edge Types : 5
Mentions : 2674
Tweet : 1399
Retweet : 5249
MentionsInRetweet : 6399
Replies to : 1306
Self-Loops : 1451
Reciprocated Vertex Pair Ratio : 0.00889900662251656
Reciprocated Edge Ratio : 0.0176410256410256
Connected Components : 1678
Single-Vertex Connected Components : 572
Maximum Vertices in a Connected Component : 4506
Maximum Edges in a Connected Component : 9818
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 8.489098
Graph Density : 0.000103272551452292
Modularity : 0.588436
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,717 Twitter users whose tweets in the requested range contained "Energy (Clean OR renewable OR green)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 12 July 2022 at 06:55 UTC.
The requested start date was Tuesday, 12 July 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 4-day, 1-hour, 19-minute period from Thursday, 07 July 2022 at 22:41 UTC to Tuesday, 12 July 2022 at 00:01 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 : Energy (Clean OR renewable OR green)
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:
[2264] green,energy [1274] renewable,energy [933] clean,energy [598] john,kerry [597] hunter,biden [597] china,oil [596] guess,hunter [596] biden,firm [596] firm,china [596] oil,john Top Word Pairs in Tweet in G1:
[579] green,energy [577] guess,hunter [577] hunter,biden [577] biden,firm [577] firm,china [577] china,oil [577] oil,john [577] john,kerry [577] kerry,mr [577] mr,green Top Word Pairs in Tweet in G2:
[132] renewable,energy [123] green,energy [101] clean,energy [22] fossil,fuels [19] energy,clean [19] energy,superpower [18] albanese,australia [18] australia,renewable [17] superpower,key [17] key,speech Top Word Pairs in Tweet in G3:
[403] food,energy [403] energy,financial [403] financial,crisis [403] crisis,brought [403] brought,down [403] down,sri [403] sri,lanka's [403] lanka's,government [403] government,underlying [403] underlying,cause Top Word Pairs in Tweet in G4:
[460] green,energy [450] kunstkate,green [450] energy,scam [7] a13kcf1,guess [7] guess,hunter [7] hunter,biden [7] biden,firm [7] firm,china [7] china,oil [7] oil,john Top Word Pairs in Tweet in G5:
[150] green,energy [84] trudeau,goes [84] goes,calgary [84] calgary,stampede [84] stampede,promote [84] promote,green [84] energy,burns [84] burns,more [84] more,carbon [84] carbon,people Top Word Pairs in Tweet in G6:
[68] renewable,energy [58] clean,energy [55] anthony,albanese [35] energy,forum [32] energy,superpower [30] energy,revolution [29] sydney,energy [28] prime,minister [28] energy,crisis [25] resist,using Top Word Pairs in Tweet in G7:
[74] #renewableenergy,highly [74] highly,recommended [74] recommended,read [74] read,bloomberg [74] bloomberg,nef [74] nef,estimates [74] estimates,#solar [74] #solar,#wind [74] #wind,cheapest [74] cheapest,source Top Word Pairs in Tweet in G8:
[54] clean,energy [39] renewable,energy [32] green,energy [17] energy,future [17] fossil,fuels [14] climate,crisis [14] fossil,fuel [11] gas,prices [11] #icymi,president [11] president,biden Top Word Pairs in Tweet in G9:
[233] dang,paris [233] paris,tore [233] tore,down [233] down,police [233] police,station [233] station,built [233] built,yep [233] yep,social [233] social,housing [233] housing,low Top Word Pairs in Tweet in G10:
[59] clean,energy [39] powered,clean [38] ice,cars [37] simple,evs [37] evs,powered [37] energy,tailpipe [37] tailpipe,emissions [37] emissions,ice [37] cars,powered [36] 28delayslater,simple Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
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:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: