The graph represents a network of 7,386 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 Saturday, 25 January 2020 at 12:12 UTC.
The tweets in the network were tweeted over the 8-day, 2-hour, 46-minute period from Friday, 17 January 2020 at 08:43 UTC to Saturday, 25 January 2020 at 11:29 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 : 7386
Unique Edges : 10898
Edges With Duplicates : 3112
Total Edges : 14010
Number of Edge Types : 5
Tweet : 1451
MentionsInRetweet : 6122
Mentions : 3078
Replies to : 277
Retweet : 3082
Self-Loops : 1486
Reciprocated Vertex Pair Ratio : 0.0159282314170633
Reciprocated Edge Ratio : 0.0313570012614886
Connected Components : 876
Single-Vertex Connected Components : 426
Maximum Vertices in a Connected Component : 5300
Maximum Edges in a Connected Component : 11485
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.92413
Graph Density : 0.000203462753464486
Modularity : 0.731886
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 7,386 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 Saturday, 25 January 2020 at 12:12 UTC.
The tweets in the network were tweeted over the 8-day, 2-hour, 46-minute period from Friday, 17 January 2020 at 08:43 UTC to Saturday, 25 January 2020 at 11:29 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:
[736] single,use [701] mother,nature [662] marine,species [571] #wef20,#davos2020 [434] james,quincey [434] quincey,chairman [434] chairman,ceo [434] circular,economy [382] #zerowaste,#circulareconomy [366] #circulareconomy,#wef20 Top Word Pairs in Tweet in G1:
[64] circular,economy [63] circular,transition [59] #wef20,#davos [50] transition,indicators [45] towards,#circulareconomy [45] climate,change [38] economic,model [35] looking,forward [34] action,plan [32] much,more Top Word Pairs in Tweet in G2:
[525] #wef20,#davos2020 [425] james,quincey [425] quincey,chairman [425] chairman,ceo [337] single,use [337] #circulareconomy,#wef20 [335] ceo,discusses [335] discusses,elimination [335] elimination,single [335] use,plastics Top Word Pairs in Tweet in G3:
[693] mother,nature [656] marine,species [345] week,222 [345] 222,mother [345] mother,india [345] india,mother [345] nature,suffering [345] suffering,pollution [345] pollution,rivers [345] rivers,lakes Top Word Pairs in Tweet in G4:
[78] global,economy [78] economy,force [78] force,nature [78] nature,made [78] made,million [78] million,decisions [78] decisions,designed [78] designed,redesigned [78] redesigned,#circulareconomy [57] plastics,economy Top Word Pairs in Tweet in G5:
[38] circular,economy [29] #sustainability,#circulareconomy [17] #voicefortheplanet,#circulareconomy [16] 求人情報詳細はこちら,co [14] #circulareconomy,#sustainability [13] #recycling,#circulareconomy [9] learn,more [9] #circulareconomy,#recycling [9] #reduce,#reuse [9] #年収1000万円可,#voicefortheplanet Top Word Pairs in Tweet in G6:
[50] action,plan [45] #circulareconomy,action [35] feedback,#circulareconomy [29] last,call [29] call,send [29] send,feedback [29] plan,increase [29] increase,recycling [29] recycling,reuse [29] reuse,products Top Word Pairs in Tweet in G7:
[32] #sustainability,#circulareconomy [24] circular,economy [19] looking,forward [17] learn,more [16] #circulareconomy,#zerowaste [15] link,gt [15] single,use [13] #zerowaste,#sustainability [11] 10,tech [11] tech,trends Top Word Pairs in Tweet in G8:
[16] uniofbrighton,soadbrighton [15] #circulareconomy,#sustainability [15] circular,economy [15] talk,things [15] things,buy [15] buy,use [15] use,brightonrepcafe [15] brightonrepcafe,rubymoonswim [15] rubymoonswim,chat [15] chat,#circulareconomy Top Word Pairs in Tweet in G9:
[150] made,fish [147] fish,waste [133] #marinatex,plastic [130] congratulations,lhughes_design [130] lhughes_design,winner [130] winner,both [130] both,plusxspace [130] plusxspace,#timetodisrupt [130] #timetodisrupt,jamesdysonaward [130] jamesdysonaward,#inventor Top Word Pairs in Tweet in G10:
[208] shops,repair [208] repair,reuse [208] reuse,sell [208] sell,things [208] things,second [208] second,hand [208] hand,sort [208] sort,goods [208] goods,keep [208] keep,going Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G6:
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Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: