The graph represents a network of 6 352 Twitter users whose recent tweets contained "#circulareconomy", 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 Sunday, 01 November 2020 at 12:51 UTC.
The tweets in the network were tweeted over the 9-day, 10-hour, 31-minute period from Friday, 23 October 2020 at 01:31 UTC to Sunday, 01 November 2020 at 12:02 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 : 6352
Unique Edges : 10957
Edges With Duplicates : 3700
Total Edges : 14657
Number of Edge Types : 5
Retweet : 4021
MentionsInRetweet : 5171
Tweet : 1615
Mentions : 3622
Replies to : 228
Self-Loops : 1689
Reciprocated Vertex Pair Ratio : 0,0485799701046338
Reciprocated Edge Ratio : 0,0926585887384177
Connected Components : 966
Single-Vertex Connected Components : 443
Maximum Vertices in a Connected Component : 3916
Maximum Edges in a Connected Component : 11424
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5,300479
Graph Density : 0,000278224298361154
Modularity : 0,672794
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 6 352 Twitter users whose recent tweets contained "#circulareconomy", 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 Sunday, 01 November 2020 at 12:51 UTC.
The tweets in the network were tweeted over the 9-day, 10-hour, 31-minute period from Friday, 23 October 2020 at 01:31 UTC to Sunday, 01 November 2020 at 12:02 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 : #circulareconomy
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:
[641] circular,economy [223] #sustainability,#circulareconomy [215] #circulareconomy,#sustainability [136] conference,november [98] #recycling,#circulareconomy [92] #circulareconomy,conference [89] #circulareconomy,improve [87] live,urban [87] management,#circulareconomy [85] 2050,70 Top Word Pairs in Tweet in G1:
[130] circular,economy [126] conference,november [85] #circulareconomy,conference [74] stakeholder,conference [65] #circulareconomy,stakeholder [50] join,#eucirculartalks [49] questions,commissioner [47] registrations,#circulareconomy [47] november,closed [47] closed,worry Top Word Pairs in Tweet in G2:
[102] circular,economy [44] #circulareconomy,help [41] panel,discussions [39] discussions,#circulareconomy [39] recover,covid [35] help,london [35] london,recover [25] #sustainability,#circulareconomy [25] join,cec_ldn [24] #circulareconomy,#sustainability Top Word Pairs in Tweet in G3:
[38] circular,economy [36] #sustainability,#circulareconomy [23] #circulareconomy,#sustainability [16] #recycling,#circulareconomy [9] plastic,waste [8] #circulareconomy,#leadership [8] #leadership,#lockdown [8] #lockdown,#mercymercymovie [8] #mercymercymovie,#macron20h [8] #macron20h,#juvebarca Top Word Pairs in Tweet in G4:
[40] circular,economy [31] #circulareconomy,food [28] benefits,society [24] reconnecting,communities [24] communities,local [24] local,food [24] food,production [24] production,changing [24] changing,grow [24] grow,food Top Word Pairs in Tweet in G5:
[30] waste,management [29] #sustainability,#environment [27] plastic,waste [27] #circulareconomy,#sustainability [27] #environment,#circulareconomy [26] #recycling,#sustainability [26] recycle,waste [24] hm,waste [24] management,information [24] information,contact Top Word Pairs in Tweet in G6:
[73] 31,october [73] 2050,70 [73] 70,world [73] world,population [73] population,live [73] live,urban [71] october,#worldcitiesday [71] #worldcitiesday,2050 [71] urban,resilient [71] resilient,city Top Word Pairs in Tweet in G7:
[17] #bioeconomy,#circulareconomy [15] #plasticfree,#plasticpollution [11] minister,environment [11] environment,climate [11] climate,change [11] #plasticfree,#circulareconomy [10] change,mikkonenkrista [10] mikkonenkrista,sharing [10] sharing,finland [10] finland,vision Top Word Pairs in Tweet in G8:
[47] #rethink2020,#circulareconomy [46] circular,economy [41] #rethink2020,tondoapstech [22] tondoapstech,#circulareconomy [18] #circulareconomy,forum [14] climate,change [11] #roundtable,#circulareconomy [10] #circulareconomy,help [10] #circulareconomy,tondoapstech [10] plan,circular Top Word Pairs in Tweet in G9:
[16] undpvietnam,signed [16] signed,mou [16] mou,hanoi [16] hanoi,university [16] university,science [16] science,technology [16] technology,formalizing [16] formalizing,long [16] long,collaboration [16] collaboration,advancing Top Word Pairs in Tweet in G10:
[51] #circulareconomy,plastics [42] step,#circulareconomy [33] #endplasticwaste,#singleuse2reuse [27] plastic,bottles [26] bottles,phone [26] phone,cases [26] cases,google [26] google,takes [26] takes,step [26] plastics,mini 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:
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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:
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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: