The graph represents a network of 2 659 Twitter users whose recent tweets contained "#Forests", 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, 12 October 2021 at 13:34 UTC.
The tweets in the network were tweeted over the 8-day, 11-hour, 27-minute period from Monday, 04 October 2021 at 01:50 UTC to Tuesday, 12 October 2021 at 13:18 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 : 2659
Unique Edges : 3999
Edges With Duplicates : 707
Total Edges : 4706
Number of Edge Types : 5
Retweet : 1982
MentionsInRetweet : 1490
Mentions : 640
Replies to : 102
Tweet : 492
Self-Loops : 533
Reciprocated Vertex Pair Ratio : 0,01877444589309
Reciprocated Edge Ratio : 0,0368569234706936
Connected Components : 340
Single-Vertex Connected Components : 145
Maximum Vertices in a Connected Component : 1548
Maximum Edges in a Connected Component : 2873
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5,779962
Graph Density : 0,000552802625833696
Modularity : 0,803837
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2 659 Twitter users whose recent tweets contained "#Forests", 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, 12 October 2021 at 13:34 UTC.
The tweets in the network were tweeted over the 8-day, 11-hour, 27-minute period from Monday, 04 October 2021 at 01:50 UTC to Tuesday, 12 October 2021 at 13:18 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 : #Forests
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[423] #nature,#forests [392] #actonclimate,#climateemergency [274] let's,protect [267] #climate,#nature [265] protect,nature [263] nature,forms [259] forms,#actonclimate [259] #climateemergency,#climate [259] #forests,#greennewdeal [257] fly,eagle Top Word Pairs in Tweet in G1:
[392] #nature,#forests [379] #actonclimate,#climateemergency [259] let's,protect [254] protect,nature [254] nature,forms [252] #climate,#nature [250] forms,#actonclimate [250] #climateemergency,#climate [250] #forests,#greennewdeal [248] fly,eagle Top Word Pairs in Tweet in G2:
[123] #oldgrowth,#forests [82] premier,jjhorgan [82] stop,logging [80] old,growth [78] dame,#judidench [78] #judidench,joined [78] joined,200 [78] 200,dignitaries [78] dignitaries,urging [78] urging,premier Top Word Pairs in Tweet in G3:
[8] #nature,#forests [7] #forests,#forestry [6] #forests,#trees [6] #forests,#nature [6] #forest,#forests [5] 10,great [5] projects,#nature [5] #forests,gangsta [5] morning,adventure [5] adventure,#wildohio Top Word Pairs in Tweet in G4:
[25] protect,#forests [24] sustainable,management [24] management,practices [24] practices,key [24] key,maintaining [24] maintaining,#biodiversity [24] #biodiversity,addressing [24] addressing,#climatechange [24] #climatechange,forests [24] forests,latest Top Word Pairs in Tweet in G5:
[39] need,limit [39] limit,#globalwarming [39] #globalwarming,use [39] use,#fossil [39] #fossil,fuels [39] fuels,develop [39] develop,protect [39] protect,#forests [39] #forests,saving [39] saving,energy Top Word Pairs in Tweet in G6:
[56] #हसद,व_बच [56] व_बच,ग [56] ग,_द [56] _द,श_बच [56] श_बच,ग [51] #forests,#ecology [35] understand,300km [35] 300km,#savehasdeo [35] #savehasdeo,march [35] march,underway Top Word Pairs in Tweet in G7:
[94] greentrust,token [94] token,join [94] join,community [94] community,#reforestation [94] #reforestation,fund [94] fund,tma_earth [94] tma_earth,reforest [94] reforest,acre [94] acre,family [94] family,plot Top Word Pairs in Tweet in G8:
[13] significance,#forests [13] #forests,health [13] health,planet [13] planet,immeasurable [13] immeasurable,re [13] re,worth [13] worth,more [13] more,standing [13] standing,cut [13] cut,down Top Word Pairs in Tweet in G9:
[20] #biodiversity,essential [20] essential,life [20] life,earth [20] earth,makes [20] makes,enjoyable [20] enjoyable,meaningful [20] meaningful,honour [20] honour,#worldmentalhealthday [20] #worldmentalhealthday,10 [20] 10,october Top Word Pairs in Tweet in G10:
[21] miss,#egw2021 [21] #egw2021,year [21] year,focused [21] focused,#earthobservation [21] #earthobservation,solutions [21] solutions,support [21] support,#eugreendeal [21] #eugreendeal,#agriculture [21] #agriculture,#eubiodiversity [21] #eubiodiversity,#climate Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
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 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: