The graph represents a network of 29 Twitter users whose recent tweets contained "greenmoneytalks", 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 Tuesday, 29 September 2020 at 19:36 UTC.
The tweets in the network were tweeted over the 7-day, 22-hour, 38-minute period from Monday, 21 September 2020 at 19:37 UTC to Tuesday, 29 September 2020 at 18:15 UTC.
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 : 29
Unique Edges : 28
Edges With Duplicates : 4
Total Edges : 32
Number of Edge Types : 3
Tweet : 7
Retweet : 24
Mentions : 1
Self-Loops : 7
Reciprocated Vertex Pair Ratio : 0.0416666666666667
Reciprocated Edge Ratio : 0.08
Connected Components : 5
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 20
Maximum Edges in a Connected Component : 20
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.750588
Graph Density : 0.0307881773399015
Modularity : 0.425781
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 29 Twitter users whose recent tweets contained "greenmoneytalks", 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 Tuesday, 29 September 2020 at 19:36 UTC.
The tweets in the network were tweeted over the 7-day, 22-hour, 38-minute period from Monday, 21 September 2020 at 19:37 UTC to Tuesday, 29 September 2020 at 18:15 UTC.
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 : greenmoneytalks
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:
[27] green,bill [20] 20,federal [20] federal,govt [20] govt,invests [20] invests,today [20] today,deliver [20] deliver,308 [20] 308,returns [20] returns,economy [20] economy,over Top Word Pairs in Tweet in G1:
[20] 20,federal [20] federal,govt [20] govt,invests [20] invests,today [20] today,deliver [20] deliver,308 [20] 308,returns [20] returns,economy [20] economy,over [20] over,next Top Word Pairs in Tweet in G2:
[14] 307,85 [7] support,green [7] green,bill [7] bill,campaign [7] campaign,307 [7] 85,click [7] click,find [7] find,20 [7] 20,investment [7] investment,turns Top Word Pairs in Tweet in G3:
[2] encore,pleine [2] pleine,pandémie [2] pandémie,ce [2] ce,jour [2] jour,#discoursdutrone [2] #discoursdutrone,dépôt [2] dépôt,#pl66 [2] #pl66,trouvons [2] trouvons,cette [2] cette,vidéo Top Word Pairs in Tweet in G4:
[2] économistes,corporateknight [2] corporateknight,soutiennent [2] soutiennent,relance [2] relance,verte [2] verte,musclée [2] musclée,parce [2] parce,l'opportunité [2] l'opportunité,réelle [2] réelle,qu'on [2] qu'on,sortirait Top Mentioned in Entire Graph:
Top Mentioned in G4:
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: