The graph represents a network of 13 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, 09 November 2021 at 03:28 UTC.
The requested start date was Tuesday, 09 November 2021 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 8-day, 16-hour, 3-minute period from Thursday, 28 October 2021 at 17:55 UTC to Saturday, 06 November 2021 at 09:59 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 : 13
Unique Edges : 8
Edges With Duplicates : 8
Total Edges : 16
Number of Edge Types : 4
Tweet : 8
Retweet : 2
MentionsInRetweet : 2
Mentions : 4
Self-Loops : 8
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 7
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 5
Maximum Edges in a Connected Component : 5
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.025641
Graph Density : 0.0384615384615385
Modularity : 0.428711
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 13 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, 09 November 2021 at 03:28 UTC.
The requested start date was Tuesday, 09 November 2021 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 8-day, 16-hour, 3-minute period from Thursday, 28 October 2021 at 17:55 UTC to Saturday, 06 November 2021 at 09:59 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] #greenchemicals,#geotreat [2] detaylı,bilgi [2] bilgi,için [2] #geotreat,#welltraet [2] #welltraet,#kuyuhizmetleri [2] ve,kuyu [2] check,exciting [2] exciting,article [2] article,selective [2] selective,#bioconversion Top Word Pairs in Tweet in G1:
[2] check,exciting [2] exciting,article [2] article,selective [2] selective,#bioconversion [2] #bioconversion,#syngas [2] #syngas,energy [2] energy,dense [2] dense,#butanol [2] #butanol,ietsbio3 [2] ietsbio3,phd Top Word Pairs in Tweet in G2:
[3] #greenchemicals,#geotreat [2] detaylı,bilgi [2] bilgi,için [2] #geotreat,#welltraet [2] #welltraet,#kuyuhizmetleri [2] ve,kuyu Top Word Pairs in Tweet in G3:
[2] œwe,aim [2] aim,demonstrate [2] demonstrate,capabilities [2] capabilities,utilizing [2] utilizing,non [2] non,food [2] food,#biomass [2] #biomass,agriculture [2] agriculture,renewable [2] renewable,source 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: