The graph represents a network of 11 Twitter users whose recent tweets contained "#water generators", 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 Wednesday, 06 November 2019 at 18:54 UTC.
The tweets in the network were tweeted over the 8-day, 1-hour, 27-minute period from Tuesday, 29 October 2019 at 12:42 UTC to Wednesday, 06 November 2019 at 14:09 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 : 11
Unique Edges : 17
Edges With Duplicates : 0
Total Edges : 17
Number of Edge Types : 3
Mentions : 10
Retweet : 4
Tweet : 3
Self-Loops : 3
Reciprocated Vertex Pair Ratio : 0,166666666666667
Reciprocated Edge Ratio : 0,285714285714286
Connected Components : 5
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 5
Maximum Edges in a Connected Component : 10
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 0,756757
Graph Density : 0,127272727272727
Modularity : 0,474913
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 11 Twitter users whose recent tweets contained "#water generators", 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 Wednesday, 06 November 2019 at 18:54 UTC.
The tweets in the network were tweeted over the 8-day, 1-hour, 27-minute period from Tuesday, 29 October 2019 at 12:42 UTC to Wednesday, 06 November 2019 at 14:09 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 : #water generators
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:
[4] nextgenwatereu,project [4] project,innovative [4] innovative,lydia [4] lydia,lyroudia [4] lyroudia,vamvakeridou [4] vamvakeridou,kwr_water [4] kwr_water,showcased [4] showcased,reasons [4] reasons,optimises [4] optimises,#water Top Word Pairs in Tweet in G1:
[4] nextgenwatereu,project [4] project,innovative [4] innovative,lydia [4] lydia,lyroudia [4] lyroudia,vamvakeridou [4] vamvakeridou,kwr_water [4] kwr_water,showcased [4] showcased,reasons [4] reasons,optimises [4] optimises,#water Top Word Pairs in Tweet in G2:
[2] bgov,energy [2] energy,briefing [2] briefing,california [2] california,water [2] water,providers [2] providers,fight [2] fight,wildfire [2] wildfire,outages [2] outages,generators [2] generators,chuckmccutcheon Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3: