The graph represents a network of 518 Twitter users whose tweets in the requested range contained "#REDD ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 12 December 2019 at 14:24 UTC.
The requested start date was Thursday, 12 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 17-hour, 12-minute period from Thursday, 28 November 2019 at 06:39 UTC to Wednesday, 11 December 2019 at 23:51 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 : 518
Unique Edges : 644
Edges With Duplicates : 942
Total Edges : 1586
Number of Edge Types : 3
Mentions : 1385
Tweet : 156
Replies to : 45
Self-Loops : 156
Reciprocated Vertex Pair Ratio : 0.0377358490566038
Reciprocated Edge Ratio : 0.0727272727272727
Connected Components : 86
Single-Vertex Connected Components : 48
Maximum Vertices in a Connected Component : 312
Maximum Edges in a Connected Component : 1346
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.822959
Graph Density : 0.00266984309537501
Modularity : 0.389531
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 518 Twitter users whose tweets in the requested range contained "#REDD+", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 12 December 2019 at 14:24 UTC.
The requested start date was Thursday, 12 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 17-hour, 12-minute period from Thursday, 28 November 2019 at 06:39 UTC to Wednesday, 11 December 2019 at 23:51 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 : #REDD+
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:
[69] extinctionr,#gnd [69] #gnd,#climateaction [69] #climateaction,#climatestrike [69] #fridaysforfuture,#youthforclimate [60] #1o5c,sunrisemvmt [60] gavinnewsom,#xrsfbay [60] #xrsfbay,rtbayarea [60] rtbayarea,idlenomoresfbay [60] y_vs_a,gretathunberg [59] sunrisemvmt,gavinnewsom Top Word Pairs in Tweet in G1:
[50] press,conference [44] 'transforming,#redd [44] #redd,lessons [38] lessons,directions' [38] directions',spanish [36] conference,'transforming [25] spanish,language [22] join,#cop25madrid [22] #cop25madrid,press [18] cifor,join Top Word Pairs in Tweet in G2:
[27] faoforestry,#forests [25] #forests,central [25] central,nature [25] nature,based [25] based,solutions [25] solutions,need [25] need,catalyse [25] catalyse,solutions [25] solutions,#climate [25] #climate,emergency Top Word Pairs in Tweet in G3:
[19] side,event [18] unredd,side [17] honduras,liberia [16] 18,00 [10] #cop25madrid,join [10] join,evening [10] evening,18 [10] 00,unredd [10] event,#colombia [10] #colombia,pavilion Top Word Pairs in Tweet in G4:
[5] technical,rating [5] #chartmill,#reddeplc [5] #reddeplc,#redd [5] #redd,#londonstockexchange [5] #londonstockexchange,#technicalanalysis [4] #blacklovestories,#mistress [4] #mistress,#infidelity [4] #infidelity,#lover [4] #lover,#romancebookclub [4] #romancebookclub,#contemporaryfiction Top Word Pairs in Tweet in G5:
[11] nested,redd [6] join,tomorrow [6] tomorrow,#cop25madrid [6] #cop25madrid,verra [6] verra,host [6] host,panel [6] panel,discussion [6] discussion,making [6] making,nested [6] redd,work Top Word Pairs in Tweet in G6:
[6] biological,standpoint [6] standpoint,tropical [6] tropical,#rainforest [6] #rainforest,nonrenewable [6] nonrenewable,resource [6] resource,talk [5] cop25cl,#forestsday [5] marinegauthierc,biological [5] talk,#sustainablelo [4] forests,homes Top Word Pairs in Tweet in G7:
[8] #redd,dün [8] dün,geceden [7] gunesduru,#redd [3] bugün,beşiktaş [3] beşiktaş,sahne [3] sahne,alıyoruz [3] alıyoruz,burası [3] burası,çokomelli [3] çokomelli,konser [3] konser,sonrası Top Word Pairs in Tweet in G8:
[69] extinctionr,#gnd [69] #gnd,#climateaction [69] #climateaction,#climatestrike [69] #fridaysforfuture,#youthforclimate [60] #1o5c,sunrisemvmt [60] gavinnewsom,#xrsfbay [60] #xrsfbay,rtbayarea [60] rtbayarea,idlenomoresfbay [60] y_vs_a,gretathunberg [59] sunrisemvmt,gavinnewsom Top Word Pairs in Tweet in G9:
[6] #un,#redd [6] #redd,programmes [6] programmes,one [6] one,holy [6] holy,grails [6] grails,international [6] international,efforts [6] efforts,combat [6] combat,climate [6] climate,change Top Word Pairs in Tweet in G10:
[2] #redd,#reddplus Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: