The graph represents a network of 1,998 Twitter users whose tweets in the requested range contained "cifor", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 02 August 2020 at 02:58 UTC.
The requested start date was Sunday, 02 August 2020 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 13-day, 6-hour, 25-minute period from Sunday, 19 July 2020 at 02:05 UTC to Saturday, 01 August 2020 at 08:30 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 : 1998
Unique Edges : 2342
Edges With Duplicates : 6486
Total Edges : 8828
Number of Edge Types : 5
MentionsInRetweet : 3183
Mentions : 3276
Retweet : 1916
Tweet : 319
Replies to : 134
Self-Loops : 325
Reciprocated Vertex Pair Ratio : 0.0415623435152729
Reciprocated Edge Ratio : 0.0798076923076923
Connected Components : 74
Single-Vertex Connected Components : 39
Maximum Vertices in a Connected Component : 1865
Maximum Edges in a Connected Component : 8645
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.38717
Graph Density : 0.00104260494846374
Modularity : 0.335587
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 1,998 Twitter users whose tweets in the requested range contained "cifor", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 02 August 2020 at 02:58 UTC.
The requested start date was Sunday, 02 August 2020 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 13-day, 6-hour, 25-minute period from Sunday, 19 July 2020 at 02:05 UTC to Saturday, 01 August 2020 at 08:30 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 : cifor
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:
[90] learn,more [84] cifor,icraf [72] climate,events [66] rural,communities [64] indigenous,rural [64] people,depend [64] depend,wildlife [64] wildlife,food [63] cifor,#forestsnews [62] millions,people Top Word Pairs in Tweet in G1:
[61] learn,more [50] climate,events [49] cifor,#forestsnews [44] esther,mwangi [35] #letstalktrees,follow [35] follow,previous [35] previous,episode [35] episode,#mangroves [35] #mangroves,learn [32] landscape,approaches Top Word Pairs in Tweet in G2:
[44] cifor,icraf [44] icraf,cifor [36] icraf,#nowreading [35] #nowreading,investments [35] investments,#agroforestry [35] #agroforestry,systems [35] systems,growing [35] growing,along [35] along,recognition [35] recognition,model Top Word Pairs in Tweet in G3:
[17] cambio,climático [16] tierras,fueron [16] fueron,sometidas [16] sometidas,uso [16] pueden,revertir [16] revertir,bosques [15] condiciones,apropiadas [15] apropiadas,tierras [15] uso,agrícola [15] agrícola,pueden Top Word Pairs in Tweet in G4:
[56] people,depend [56] depend,wildlife [56] wildlife,food [56] indigenous,rural [54] rural,communities [53] millions,people [53] food,particularly [53] particularly,indigenous [53] communities,fao [50] faoknowledge,millions Top Word Pairs in Tweet in G5:
[14] survive,mangroves [8] #coastofbangladesh,#coastaljournalism [8] bangladesh's,coastal [8] coastal,island [8] island,'shipchar' [8] 'shipchar',disappeared [8] disappeared,large [8] large,part [8] part,island [8] island,union Top Word Pairs in Tweet in G6:
[31] plant,million [31] million,billion [31] billion,trillion [31] trillion,yes [31] yes,simplified [31] simplified,concept [29] globallf,plant [29] concept,nee [18] come,expense [15] social,media Top Word Pairs in Tweet in G7:
[10] wrote,terrible [10] terrible,drought [10] drought,gripped [10] gripped,sahel [10] sahel,fmnr [10] fmnr,such [10] such,exciting [10] exciting,jolt [10] jolt,system [10] system,still Top Word Pairs in Tweet in G8:
[3] rachel,golden [3] golden,kroner [3] kroner,conservationorg [3] conservationorg,social [3] social,scientist [3] scientist,studies [3] studies,pattern [3] pattern,between [3] between,environmental [3] environmental,rollbacks Top Word Pairs in Tweet in G9:
[18] hi,david [18] david,happy [18] happy,join [18] join,today's [18] today's,twitter [18] twitter,dice [18] dice,conference [18] conference,#dicecon20 [18] #dicecon20,#conseffect1 [18] #conseffect1,log Top Word Pairs in Tweet in G10:
[4] pronatenda,#formation [4] #formation,#gouvernance [4] #gouvernance,participative [4] participative,#ressources_naturelles [4] #ressources_naturelles,wfd_ev [4] wfd_ev,misereor [4] misereor,_heks [4] _heks,osiwa1 [3] pronatenda,pronatenda [3] osiwa1,lem Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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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:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G9:
Top Tweeters in G10: