The graph represents a network of 26 Twitter users whose tweets in the requested range contained "#GreenChemicals", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 15 February 2022 at 03:51 UTC.
The requested start date was Tuesday, 15 February 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 10-day, 12-hour, 8-minute period from Tuesday, 01 February 2022 at 05:00 UTC to Friday, 11 February 2022 at 17:08 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 : 26
Unique Edges : 24
Edges With Duplicates : 2
Total Edges : 26
Number of Edge Types : 5
Retweet : 1
MentionsInRetweet : 1
Mentions : 15
Replies to : 5
Tweet : 4
Self-Loops : 4
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 5
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 10
Maximum Edges in a Connected Component : 11
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.568807
Graph Density : 0.0323076923076923
Modularity : 0.602071
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 26 Twitter users whose tweets in the requested range contained "#GreenChemicals", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 15 February 2022 at 03:51 UTC.
The requested start date was Tuesday, 15 February 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 10-day, 12-hour, 8-minute period from Tuesday, 01 February 2022 at 05:00 UTC to Friday, 11 February 2022 at 17:08 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 : GraphServerTwitterSearch
Graph Term : #GreenChemicals
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:
[2] chemlight,celebrating [2] celebrating,#womenandgirlsinscience [2] #womenandgirlsinscience,pi [2] pi,proud [2] proud,group [2] group,members [2] members,maryam [2] maryam,hanka [2] hanka,kathryn [2] #greenchemicals,help Top Word Pairs in Tweet in G1:
[2] #greenchemicals,help [2] help,clean [2] save,planet [2] planet,environmental [2] environmental,pollution Top Word Pairs in Tweet in G2:
[2] #chemistryforthefuture,#geothermal [2] #geothermal,#geothermalnews [2] šà,ˆà [2] ªà,šà [2] ˆ,µà Top Word Pairs in Tweet in G3:
[2] chemlight,celebrating [2] celebrating,#womenandgirlsinscience [2] #womenandgirlsinscience,pi [2] pi,proud [2] proud,group [2] group,members [2] members,maryam [2] maryam,hanka [2] hanka,kathryn Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4: