The graph represents a network of 6,902 Twitter users whose recent tweets contained "#greenrecovery", 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, 04 May 2020 at 08:18 UTC.
The tweets in the network were tweeted over the 8-day, 17-hour, 40-minute period from Saturday, 25 April 2020 at 14:19 UTC to Monday, 04 May 2020 at 08:00 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 : 6902
Unique Edges : 12748
Edges With Duplicates : 2590
Total Edges : 15338
Number of Edge Types : 5
Retweet : 6297
MentionsInRetweet : 5208
Mentions : 2833
Replies to : 208
Tweet : 792
Self-Loops : 845
Reciprocated Vertex Pair Ratio : 0.0130849753694581
Reciprocated Edge Ratio : 0.0258319404345844
Connected Components : 425
Single-Vertex Connected Components : 269
Maximum Vertices in a Connected Component : 6069
Maximum Edges in a Connected Component : 14324
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.216973
Graph Density : 0.000276334369373771
Modularity : 0.690774
NodeXL Version : 1.0.1.432
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=226085
Data Import : The graph represents a network of 6,902 Twitter users whose recent tweets contained "#greenrecovery", 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, 04 May 2020 at 08:18 UTC.
The tweets in the network were tweeted over the 8-day, 17-hour, 40-minute period from Saturday, 25 April 2020 at 14:19 UTC to Monday, 04 May 2020 at 08:00 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 : #greenrecovery
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:
[941] of,planet [927] climate,change [916] economies,societies [869] rebuild,economies [866] transform,economies [860] children,#greenrecovery [858] future,of [857] remain,#eugreendeal [857] planet,children [856] start,rebuild Top Word Pairs in Tweet in G1:
[740] of,planet [739] transform,economies [739] economies,societies [739] climate,change [738] start,rebuild [738] rebuild,economies [738] economies,coronavirus [738] coronavirus,need [738] need,invest [738] invest,smartly Top Word Pairs in Tweet in G2:
[314] future,#pcd11 [313] fiscal,stimulus [236] fossil,fuel [236] fuel,subsidies [234] eliminate,fossil [234] green,jobs [223] jobs,more [221] #greenrecovery,possible [221] possible,#covid19 [221] #covid19,put Top Word Pairs in Tweet in G3:
[434] #coronavirus,crisis [434] crisis,deafening [434] deafening,wake [434] wake,call [434] call,reduce [434] reduce,chance [434] chance,of [434] of,future [434] future,pandemics [434] pandemics,rebuilding Top Word Pairs in Tweet in G4:
[136] petersberg,climate [136] climate,dialogue [131] of,petersberg [76] #greenrecovery,plans [73] 15,10 [68] 30,countries [67] #greenrecovery,#coronacrisis [66] 11th,edition [66] edition,of [66] dialogue,going Top Word Pairs in Tweet in G5:
[110] people,planet [107] not,resuscitate [107] resuscitate,attached [107] attached,oil [107] oil,airline [107] airline,car [107] car,industries [107] industries,need [107] need,put [107] put,people Top Word Pairs in Tweet in G6:
[73] #pcd11,#greenrecovery [66] #greenrecovery,#betterrecovery [66] #betterrecovery,#corona [66] #corona,#covid19 [54] regsprecher,svenjaschulze68 [52] deutsche,unternehmen [52] #klimakonjunkturprogramm,wirtschaft [52] wirtschaft,krisenfester [51] bundesregierung,#klimakonjunkturprogramm [51] krisenfester,appell Top Word Pairs in Tweet in G7:
[72] crisis,la [71] #greenrecovery,#eugreendeal [63] esta,crisis [62] la,peor [62] peor,#europe [62] #europe,tiempos [62] tiempos,paz [62] paz,requiere [62] requiere,acción [62] acción,unión Top Word Pairs in Tweet in G8:
[61] demand,#greenrecovery [51] of,planet [50] dirtiest,industries [49] planet,dirtiest [43] right,now [42] now,whether [42] whether,offer [42] offer,cash [41] industries,big [41] big,blank Top Word Pairs in Tweet in G9:
[107] #corona,krise [83] kraft,gesellschaft [83] gesellschaft,#corona [83] krise,menschenleben [83] menschenleben,kämpft [83] kämpft,beeindruckt [83] beeindruckt,fragen [83] fragen,kämpfte [83] kämpfte,gesellschaft [83] gesellschaft,halb Top Word Pairs in Tweet in G10:
[111] unprecedented,#covid19 [111] #covid19,crisis [103] #greenrecovery,plan [102] breaking,call [102] call,trillion [102] trillion,#greenrecovery [102] plan,build [102] build,resilient [102] resilient,sustainable [102] sustainable,amp Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G10: