The graph represents a network of 72 Twitter users whose recent tweets contained ""@airproducts"", 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, 06 June 2020 at 12:53 UTC.
The tweets in the network were tweeted over the 6-day, 15-hour, 12-minute period from Saturday, 30 May 2020 at 17:05 UTC to Saturday, 06 June 2020 at 08:18 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 : 72
Unique Edges : 61
Edges With Duplicates : 63
Total Edges : 124
Self-Loops : 8
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 72
Maximum Edges in a Connected Component : 124
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.807099
Graph Density : 0.0172143974960876
Modularity : 0.514113
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 72 Twitter users whose recent tweets contained ""@airproducts"", 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, 06 June 2020 at 12:53 UTC.
The tweets in the network were tweeted over the 6-day, 15-hour, 12-minute period from Saturday, 30 May 2020 at 17:05 UTC to Saturday, 06 June 2020 at 08:18 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 : "@airproducts"
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Relationship
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in G2:
[12] airproducts,petrofacgroup [11] schneidereme,sharjahoil [10] sharjahoil,airproducts [6] emerson_news,schneidereme [6] gulf_intel,emerson_news [6] emerson_news,uniper_energy [6] uniper_energy,schneidereme [6] petrofacgroup,tanzeedalam [6] schneidereme,airproducts [6] renewable,energy Top Word Pairs in Tweet in G3:
Top Word Pairs in Tweet in G5:
[] #naturalgas,demand [] demand,treble [] treble,economic [] economic,route [] route,#energytransition [] #energytransition,hence [] hence,reviewed [] reviewed,800 [] 800,recent [] recent,patents Top Word Pairs in Tweet in G6:
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:
Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
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: