The graph represents a network of 8,173 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, 25 November 2021 at 01:22 UTC.
The requested start date was Thursday, 25 November 2021 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, 6-hour, 25-minute period from Monday, 22 November 2021 at 01:48 UTC to Wednesday, 24 November 2021 at 08:13 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 : 8173
Unique Edges : 5550
Edges With Duplicates : 12763
Total Edges : 18313
Number of Edge Types : 5
Retweet : 5754
MentionsInRetweet : 7941
Tweet : 1581
Mentions : 2808
Replies to : 229
Self-Loops : 1700
Reciprocated Vertex Pair Ratio : 0.0153493471543905
Reciprocated Edge Ratio : 0.0302346127417297
Connected Components : 1059
Single-Vertex Connected Components : 398
Maximum Vertices in a Connected Component : 5546
Maximum Edges in a Connected Component : 14761
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.601272
Graph Density : 0.000152523389964174
Modularity : 0.532291
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,173 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, 25 November 2021 at 01:22 UTC.
The requested start date was Thursday, 25 November 2021 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, 6-hour, 25-minute period from Monday, 22 November 2021 at 01:48 UTC to Wednesday, 24 November 2021 at 08:13 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:
[474] years,ago [470] 105,years [470] ago,vs [469] #climatechange,#arctic [468] #arctic,105 [467] aaravseth_,#climatechange [451] climate,change [425] ப,ர [423] த,ய [419] க,ப Top Word Pairs in Tweet in G1:
[154] climate,change [77] #climatechange,#climateaction [48] due,#climatechange [43] #environment,#climatechange [43] oxfam,study [43] study,shows [43] shows,annual [43] annual,losses [43] losses,due [43] #climatechange,trillion Top Word Pairs in Tweet in G2:
[443] #climatechange,#arctic [443] #arctic,105 [443] 105,years [443] years,ago [443] ago,vs [442] aaravseth_,#climatechange [20] saddened,leaders [20] leaders,country [20] country,busy [20] busy,campaigning Top Word Pairs in Tweet in G3:
[218] rvrstoken,aims [218] aims,tackle [218] tackle,#climatechange [218] #climatechange,bigger [218] bigger,community [217] community,bigger [216] bigger,positive [216] positive,environmental [216] environmental,impact [216] impact,#nft Top Word Pairs in Tweet in G4:
[58] climate,change [20] #climatechange,#climatecrisis [16] outdoor,exertion [16] exertion,#climatechange [16] #climatechange,#plantatree [16] #plantatree,#airquality [16] #airquality,#environment [16] #environment,#healthy [16] #healthy,#future [16] #future,#children Top Word Pairs in Tweet in G5:
[414] த,ய [412] ப,ர [411] க,ப [411] ர,டர [397] இயற,க [397] டர,இந [397] இந,த [397] ய,தய [381] தய,ர [381] ர,க Top Word Pairs in Tweet in G6:
[83] next,great [83] great,casualty [83] casualty,#climatechange [83] #climatechange,water [83] water,without [83] without,adequate [83] adequate,oxygen [83] oxygen,support [83] support,life [83] life,billion Top Word Pairs in Tweet in G7:
[66] spent,fossil [64] fossil,fuel [64] fuel,subsidies [63] one,dollar [63] dollar,spent [63] spent,tackle [63] tackle,#climatecrisis [63] #climatecrisis,four [63] four,dollars [63] dollars,spent Top Word Pairs in Tweet in G8:
[78] farms,small [78] small,cozy [78] cozy,true [78] true,scale [78] scale,farm [78] farm,animals [78] animals,raised [78] raised,parts [78] parts,united [78] united,states Top Word Pairs in Tweet in G9:
[112] bazzacc,#climatechange [16] 100,year [15] representative,city [15] city,more [15] more,roundabouts [15] roundabouts,person [15] person,place [15] place,australia [15] australia,delighted [15] delighted,read Top Word Pairs in Tweet in G10:
[119] abcnews',#afternoonbriefing [119] #afternoonbriefing,patskarvelas [119] patskarvelas,labor's [119] labor's,anikawells [119] anikawells,made [119] made,superb [119] superb,point [119] point,morrison [119] morrison,govt [119] govt,allows Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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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: