The graph represents a network of 10 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, 18 January 2022 at 03:51 UTC.
The requested start date was Tuesday, 18 January 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 11-day, 9-hour, 58-minute period from Tuesday, 04 January 2022 at 20:26 UTC to Sunday, 16 January 2022 at 06:24 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 : 10
Unique Edges : 1
Edges With Duplicates : 32
Total Edges : 33
Number of Edge Types : 5
Retweet : 5
MentionsInRetweet : 17
Tweet : 6
Replies to : 1
Mentions : 4
Self-Loops : 9
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 3
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 6
Maximum Edges in a Connected Component : 23
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.26087
Graph Density : 0.0777777777777778
Modularity : 0.223829
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10 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, 18 January 2022 at 03:51 UTC.
The requested start date was Tuesday, 18 January 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 11-day, 9-hour, 58-minute period from Tuesday, 04 January 2022 at 20:26 UTC to Sunday, 16 January 2022 at 06:24 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:
[4] iss_research,nasaspacesci [4] nasaspacesci,space_station [4] space_station,bbcworld [4] bbcworld,bbcnews [4] bbcnews,autonomous [4] autonomous,orbiting [4] orbiting,synthetic [4] synthetic,extended [4] extended,biol [3] shuchi,nahar's Top Word Pairs in Tweet in G1:
[4] iss_research,nasaspacesci [4] nasaspacesci,space_station [4] space_station,bbcworld [4] bbcworld,bbcnews [4] bbcnews,autonomous [4] autonomous,orbiting [4] orbiting,synthetic [4] synthetic,extended [4] extended,biol [3] cw4t7abs,iss_research Top Word Pairs in Tweet in G2:
[3] shuchi,nahar's [3] nahar's,weekend [3] weekend,blog [3] blog,future [3] future,green [3] green,#greenchemistry [3] #greenchemistry,#greenchemicals [3] #greenchemicals,#chemical [2] shuchi_nahar,shuchi Top Word Pairs in Tweet in G3:
[3] #greenchemicals,#wettreat [2] için,bizimle [2] bizimle,iletişime [2] iletişime,geçebilirsiniz [2] wet,treat [2] treat,5000 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 Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3: