The graph represents a network of 5 678 Twitter users whose recent tweets contained "#renewables", 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 Tuesday, 21 April 2020 at 07:36 UTC.
The tweets in the network were tweeted over the 7-day, 19-hour, 3-minute period from Monday, 13 April 2020 at 12:00 UTC to Tuesday, 21 April 2020 at 07:03 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 : 5857
Unique Edges : 14832
Edges With Duplicates : 16123
Total Edges : 30955
Number of Edge Types : 5
Mentions : 11312
Replies to : 669
Tweet : 1943
Retweet : 5476
MentionsInRetweet : 11555
Self-Loops : 2048
Reciprocated Vertex Pair Ratio : 0,0215917951178552
Reciprocated Edge Ratio : 0,0422708859273176
Connected Components : 502
Single-Vertex Connected Components : 259
Maximum Vertices in a Connected Component : 4800
Maximum Edges in a Connected Component : 29503
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4,079847
Graph Density : 0,00049660930687767
Modularity : 0,452731
NodeXL Version : 1.0.1.431
Data Import : The graph represents a network of 5 678 Twitter users whose recent tweets contained "#renewables", 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 Tuesday, 21 April 2020 at 07:36 UTC.
The tweets in the network were tweeted over the 7-day, 19-hour, 3-minute period from Monday, 13 April 2020 at 12:00 UTC to Tuesday, 21 April 2020 at 07:03 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 : #renewables
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:
[913] #actonclimate,#climateaction [876] implement,#actonclimate [874] #climateaction,#renewables [866] #climate,#energy [861] let's,implement [826] solutions,let's [804] wind,turbines [788] turbines,scotland [788] scotland,generated [788] generated,twice Top Word Pairs in Tweet in G1:
[845] #actonclimate,#climateaction [811] implement,#actonclimate [800] let's,implement [774] #climate,#energy [767] solutions,let's [728] wind,turbines [724] turbines,scotland [724] scotland,generated [724] generated,twice [724] power,requirements Top Word Pairs in Tweet in G2:
[348] #renewables,#renewableenergy [239] #renewableenergy,#renewables [233] #energy,#renewables [167] renewable,energy [122] #energytransition,mzjacobson [119] mzjacobson,brianvad [112] cost,effective [111] #renewables,capacity [104] capacity,hit [102] hit,record Top Word Pairs in Tweet in G3:
[149] irena's,latest [146] shicooks,profstrachan [99] low,carbon [93] kirillklip,autrement_votre [87] learn,more [82] #renewableenergy,capacity [82] capacity,additions [82] latest,data [82] carbon,investment [81] long,term Top Word Pairs in Tweet in G4:
[190] #renewables,#fintech [134] enricomolinari,#renewables [118] #ai,#iot [114] realtechmatters,enricomolinari [110] nature,inspired [110] inspired,wind [110] wind,turbine [110] turbine,designed [110] designed,tree [110] tree,generate Top Word Pairs in Tweet in G5:
[36] #energy,#renewables [19] renewable,energy [17] #energyefficiency,#renewables [16] energy,amp [15] save,energy [15] amp,cost [15] cost,business [15] business,contact [15] contact,#reliability [15] #reliability,#energystorage Top Word Pairs in Tweet in G6:
[115] itmpowerplc,hydrokevin [85] fuelcellsworks,ch2ange [80] josamps92,deigninspain [73] hydrogencouncil,gasworld [73] gasworld,grahamcooley4 [73] grahamcooley4,h2_view [68] h2newsglobal,dickwinchester [66] william_sw,itmpowerplc [62] h2europe,fuelcellsworks [62] ch2ange,my21_oracle Top Word Pairs in Tweet in G7:
[40] #renewableenergy,sector [39] #india,backs [39] backs,#renewables [39] #renewables,over [39] over,#coal [39] #coal,thevineetmittal [39] thevineetmittal,deliberates [39] deliberates,propelling [39] propelling,#renewableenergy [39] sector,amidst Top Word Pairs in Tweet in G8:
[21] #renewable,industry [21] industry,howl [21] howl,whine [21] whine,authoritative [21] authoritative,study [21] study,university [21] university,chicago [21] chicago,facts [21] facts,#renewables [21] #renewables,drive Top Word Pairs in Tweet in G9:
[85] #oil,market [82] market,implodes [82] implodes,sunny [82] sunny,breezy [82] breezy,day [82] day,uk [82] uk,plus [82] plus,lockdown [82] lockdown,induced [82] induced,low Top Word Pairs in Tweet in G10:
[37] solar,energy [37] #exoworld,#solar [37] #solar,#renewables [26] countries,world [24] staggering,stat [24] stat,more [24] more,solar [24] energy,falls [24] falls,earth [24] earth,single Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G5:
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Top Tweeters in G10: