The graph represents a network of 28 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, 22 February 2022 at 03:51 UTC.
The requested start date was Tuesday, 22 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, 5-hour, 56-minute period from Tuesday, 08 February 2022 at 09:08 UTC to Friday, 18 February 2022 at 15:05 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 : 28
Unique Edges : 22
Edges With Duplicates : 12
Total Edges : 34
Number of Edge Types : 5
Tweet : 10
Replies to : 5
Mentions : 15
Retweet : 2
MentionsInRetweet : 2
Self-Loops : 10
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 6
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 11
Maximum Edges in a Connected Component : 15
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.583333
Graph Density : 0.0291005291005291
Modularity : 0.537413
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 28 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, 22 February 2022 at 03:51 UTC.
The requested start date was Tuesday, 22 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, 5-hour, 56-minute period from Tuesday, 08 February 2022 at 09:08 UTC to Friday, 18 February 2022 at 15:05 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:
[3] saving,planet [2] eco,friendly [2] #greenchemicals,help [2] help,clean [2] planet,environmental [2] environmental,pollution [2] save,planet [2] green,chemicals [2] chemical,industry [2] industry,read Top Word Pairs in Tweet in G1:
[3] saving,planet [2] #greenchemicals,help [2] help,clean [2] sustainability,forefront [2] forefront,blockchain [2] blockchain,crypto [2] crypto,projects [2] projects,saving [2] planet,water [2] water,pollution Top Word Pairs in Tweet in G2:
[2] #greenchemicals,#chemistryforthefuture [2] #geothermalenergy,#renewablesenergy [2] #chemistryforthefuture,#geothermal [2] #geothermal,#geothermalnews 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 Word Pairs in Tweet in G4:
[2] green,chemicals [2] chemical,industry [2] industry,read [2] read,full [2] full,blog [2] blog,#greenchemicals [2] #greenchemicals,#globalgreenchemicals [2] #globalgreenchemicals,#chemicals [2] eco,friendly 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: