The graph represents a network of 1 487 Twitter users whose recent tweets contained "forest science", 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 Monday, 20 September 2021 at 13:02 UTC.
The tweets in the network were tweeted over the 8-day, 7-hour, 38-minute period from Sunday, 12 September 2021 at 04:41 UTC to Monday, 20 September 2021 at 12:20 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 : 1487
Unique Edges : 1760
Edges With Duplicates : 274
Total Edges : 2034
Number of Edge Types : 5
Replies to : 179
Tweet : 295
Retweet : 643
Mentions : 473
MentionsInRetweet : 444
Self-Loops : 304
Reciprocated Vertex Pair Ratio : 0,0332247557003257
Reciprocated Edge Ratio : 0,064312736443884
Connected Components : 388
Single-Vertex Connected Components : 141
Maximum Vertices in a Connected Component : 107
Maximum Edges in a Connected Component : 143
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2,670149
Graph Density : 0,000717750336926309
Modularity : 0,801861
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1 487 Twitter users whose recent tweets contained "forest science", 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 Monday, 20 September 2021 at 13:02 UTC.
The tweets in the network were tweeted over the 8-day, 7-hour, 38-minute period from Sunday, 12 September 2021 at 04:41 UTC to Monday, 20 September 2021 at 12:20 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 : forest science
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:
[71] climate,change [67] loggers,environmentalists [66] forest,experiment [66] experiment,aims [66] aims,reduce [65] huge,forest [63] reduce,wildfires [63] wildfires,unite [63] unite,loggers [58] forest,management Top Word Pairs in Tweet in G1:
[21] loggers,environmentalists [20] forest,experiment [20] experiment,aims [20] aims,reduce [19] huge,forest [18] reduce,wildfires [18] wildfires,unite [18] unite,loggers [13] climate,change [10] forest,fires Top Word Pairs in Tweet in G2:
[2] uselogicplease1,soldieroneeaodg [2] soldieroneeaodg,debleefab1 [2] debleefab1,airmaxknight [2] airmaxknight,ianlstrain [2] ianlstrain,killtylerdurden [2] killtylerdurden,darklor23935043 [2] shostunz,steven_swenson [2] steven_swenson,seannlauren [2] seannlauren,micky_finn [2] micky_finn,mongoose4469 Top Word Pairs in Tweet in G3:
[48] interested,doing [48] doing,#seaweed [48] #seaweed,forest [48] forest,research [48] research,imasutas [48] imasutas,applications [48] applications,phd [48] phd,project [48] project,whether [48] whether,kelp Top Word Pairs in Tweet in G4:
[2] hamer,family [2] 600,000 [2] 000,acres Top Word Pairs in Tweet in G6:
[44] huge,forest [44] forest,experiment [44] experiment,aims [44] aims,reduce [44] reduce,wildfires [44] wildfires,unite [44] unite,loggers [44] loggers,environmentalists [3] reached,areas [3] areas,treated Top Word Pairs in Tweet in G7:
[38] 17,million [38] million,hectares [38] hectares,russian [38] russian,forests [38] forests,destroyed [38] destroyed,year [38] year,still [38] still,politicians [38] politicians,dither [38] dither,time Top Word Pairs in Tweet in G8:
[23] asked,premier [23] premier,#qt [23] #qt,today [23] today,show [23] show,same [23] same,leadership [23] leadership,wa [23] wa,premier [23] premier,mcgowan [23] mcgowan,end Top Word Pairs in Tweet in G9:
[26] great,piece [23] recent,iop [23] iop,science [23] science,study [23] study,drivers [23] drivers,behind [23] behind,fires [23] fires,determined [23] determined,live [23] live,fuel Top Word Pairs in Tweet in G10:
[23] #lakeagroindustries,illegally [23] illegally,cleared [23] cleared,another [23] another,180ha [23] 180ha,protected [23] protected,forest [23] forest,vital [23] vital,survival [23] survival,bats [23] bats,#kasanka Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G8:
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 G8:
Top Mentioned in G9:
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: