The graph represents a network of 8,081 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, 16 September 2021 at 00:23 UTC.
The requested start date was Thursday, 16 September 2021 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, 5-hour, 58-minute period from Monday, 13 September 2021 at 02:15 UTC to Wednesday, 15 September 2021 at 08:14 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 : 8081
Unique Edges : 5945
Edges With Duplicates : 11609
Total Edges : 17554
Number of Edge Types : 5
Retweet : 5030
MentionsInRetweet : 6737
Mentions : 3361
Tweet : 2137
Replies to : 289
Self-Loops : 2302
Reciprocated Vertex Pair Ratio : 0.0175213675213675
Reciprocated Edge Ratio : 0.0344393112137757
Connected Components : 1333
Single-Vertex Connected Components : 607
Maximum Vertices in a Connected Component : 5119
Maximum Edges in a Connected Component : 13569
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.808225
Graph Density : 0.000145862253593259
Modularity : 0.528401
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,081 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, 16 September 2021 at 00:23 UTC.
The requested start date was Thursday, 16 September 2021 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, 5-hour, 58-minute period from Monday, 13 September 2021 at 02:15 UTC to Wednesday, 15 September 2021 at 08:14 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:
[540] climate,change [147] #climatechange,# [140] today's,paper [140] paper,foreign [140] foreign,ministry [140] ministry,more [140] more,green [140] green,ambition [140] ambition,home [140] home,ministry Top Word Pairs in Tweet in G1:
[114] climate,change [109] grey,cross [105] cross,studios [105] studios,#art [67] dystopian,holiday [67] #art,#dystopia [67] #dystopia,#cities [67] #cities,#society [60] #society,#conceptualart [60] #conceptualart,#skylines Top Word Pairs in Tweet in G2:
[88] climate,change [20] #sustainability,#climatechange [20] #climatechange,#climatecrisis [18] #climatechange,#globalwarming [16] #climatechange,#plantatree [16] #plantatree,#airquality [16] #airquality,#environment [16] #environment,#healthy [16] #healthy,#future [16] #future,#children Top Word Pairs in Tweet in G3:
[40] before,late [37] go,#vegan [37] #vegan,before [37] late,#climatechange [35] #climatechange,#deforestation [34] frasierharry,go [30] #globalwarming,#climatechange [27] #gpwx,#globalwarming [25] #vegan,#climatechange [24] mcdonalds,costing Top Word Pairs in Tweet in G4:
[27] impacts,#amazon [27] #amazon,wildfires [27] wildfires,widespread [27] widespread,#deforestation [27] #deforestation,exacerbate [27] exacerbate,#climatechange [27] #climatechange,threaten [27] threaten,#biodiversity [26] kambojananya,impacts [18] currently,seeing Top Word Pairs in Tweet in G5:
[37] ipcc_ch,report [26] findings,recently [26] recently,released [26] released,ipcc_ch [26] report,show [26] show,#climatechange [26] #climatechange,causing [26] causing,extreme [26] extreme,weather [26] weather,region Top Word Pairs in Tweet in G6:
[26] public,health [26] health,emergency [26] emergency,top [19] joint,#openletter [19] #openletter,australia [19] australia,#doctors [19] #doctors,pm [19] pm,#climatechange [19] #climatechange,public [18] docsenvaus,joint Top Word Pairs in Tweet in G7:
[67] fight,#climatechange [66] malawi,using [66] using,bamboo [66] bamboo,fight [66] #climatechange,restore [66] restore,#forests [66] #forests,solutions [66] solutions,let's [66] let's,speed [66] speed,implement Top Word Pairs in Tweet in G8:
[137] today's,paper [137] paper,foreign [137] foreign,ministry [137] ministry,more [137] more,green [137] green,ambition [137] ambition,home [137] home,ministry [137] ministry,fewer [137] fewer,green Top Word Pairs in Tweet in G9:
[99] during,debates [99] debates,don [99] don,take [99] take,word [99] word,lpc [99] lpc,serious [99] serious,#climatechange [99] #climatechange,plan [99] plan,ballot [98] gmbutts,during Top Word Pairs in Tweet in G10:
[12] startups,applying [12] applying,#ai [12] #ai,tackle [12] tackle,#climatechange [12] #climatechange,_robtoews [12] _robtoews,forbes [9] ronald_vanloon,startups [9] miss,#doingdatabetter [9] #doingdatabetter,special [9] special,report Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 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: