The graph represents a network of 449 Twitter users whose recent tweets contained "sveaskog", 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 Friday, 22 January 2021 at 18:42 UTC.
The tweets in the network were tweeted over the 7-day, 19-hour, 45-minute period from Thursday, 14 January 2021 at 21:24 UTC to Friday, 22 January 2021 at 17:10 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 : 449
Unique Edges : 996
Edges With Duplicates : 636
Total Edges : 1632
Number of Edge Types : 5
Replies to : 126
Retweet : 537
Mentions : 339
MentionsInRetweet : 559
Tweet : 71
Self-Loops : 71
Reciprocated Vertex Pair Ratio : 0,0311926605504587
Reciprocated Edge Ratio : 0,0604982206405694
Connected Components : 25
Single-Vertex Connected Components : 18
Maximum Vertices in a Connected Component : 415
Maximum Edges in a Connected Component : 1591
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3,193274
Graph Density : 0,00558781419026408
Modularity : 0,423318
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 449 Twitter users whose recent tweets contained "sveaskog", 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 Friday, 22 January 2021 at 18:42 UTC.
The tweets in the network were tweeted over the 7-day, 19-hour, 45-minute period from Thursday, 14 January 2021 at 21:24 UTC to Friday, 22 January 2021 at 17:10 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 : sveaskog
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:
[128] statliga,sveaskog [109] granskning,av [89] dags,för [84] regering,och [84] och,riksdag [84] riksdag,att [82] av,statliga [82] för,två [81] än,en [80] två,år Top Word Pairs in Tweet in G1:
[74] granskning,av [73] statliga,sveaskog [73] regering,och [73] och,riksdag [73] riksdag,att [72] för,två [71] än,en [71] dags,för [70] morse,inledde [70] inledde,dagensnyheter Top Word Pairs in Tweet in G2:
[24] skogsstyrelsen,skogsindustrin [24] lrfsverige,sodra [24] sodra,storaenso [23] skogsindustrin,sveaskog [23] sveaskog,lrfsverige [17] agnetablomqvist,skogsstyrelsen [15] för,sveaskog [12] det,är [11] vd,för [11] 140,år Top Word Pairs in Tweet in G3:
[33] swedish,forestry [33] #stand4forests,#biomass [22] den,svenska [21] forestry,model [21] model,role [21] role,model [21] model,sustainability [21] sustainability,threat [21] threat,climate [21] climate,vital Top Word Pairs in Tweet in G4:
[22] det,är [22] hållbart,skogsbruk [16] det,svenska [14] ett,hållbart [13] för,ett [12] dags,att [12] sveaskogs,skövling [12] skövling,av [12] av,skog [12] skog,är Top Word Pairs in Tweet in G5:
[28] statliga,sveaskog [24] som,sveaskog [24] avverkningar,av [24] av,gammal [24] gammal,skog [24] skog,norrbotten [24] norrbotten,är [24] är,på [24] på,väg [24] väg,att Top Word Pairs in Tweet in G6:
[18] för,att [17] den,biologiska [17] biologiska,mångfalden [16] det,är [14] sveaskog,pekas [14] pekas,ut [14] ut,för [14] att,förstöra [14] förstöra,för [14] för,rennäringen Top Word Pairs in Tweet in G7:
[3] vd,för [3] för,sveaskog [2] att,sveaskog [2] för,att [2] hannele,arvonen [2] med,det [2] som,att [2] sveaskog,som [2] bra,men [2] #svpol,#skogen Top Word Pairs in Tweet in G8:
[9] de,senaste [9] senaste,20 [9] 20,åren [9] åren,har [9] har,runt [9] runt,300 [9] 300,000 [9] 000,hektar [9] hektar,ett [9] ett,område Top Word Pairs in Tweet in G9:
[7] och,vidare [7] vidare,bolsonaro [7] bolsonaro,beskylls [7] beskylls,för [7] för,att [7] att,våldföra [7] våldföra,sig [7] sig,på [7] på,både [7] både,människor Top Word Pairs in Tweet in G10:
[4] för,sveaskog [3] vd,för [3] sveaskog,får [3] får,sluta [3] sluta,efter [3] efter,stor [3] stor,kritik [3] kritik,från [3] från,miljörörelse [3] miljörörelse,digreus Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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 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: