#GreenChemicals, Twitter, 6/14/2022 5:26:55 AM, 278281


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#GreenChemicals_2022-06-13_19-45-00.xlsx
#GreenChemicals_2022-06-13_19-45-00.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
June 14, 2022
Short Description:
#GreenChemicals via NodeXL https://bit.ly/3xLG3Ea
@scmsmartchem
@chemicalsgreen
@chinmayparmar6

Top hashtags:
#greenchemicals
#greenquarterly
#gcdergi
#chemistryforthefuture
#5hazirandünyaçevregünü
#gcsözlük
#koagülant
#wastetreat
#worldenvironmentday
#saveearth

Description:
Description
The graph represents a network of 3 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, 14 June 2022 at 02:45 UTC.

The requested start date was Tuesday, 14 June 2022 at 00:01 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 5-day, 16-hour, 2-minute period from Saturday, 04 June 2022 at 17:55 UTC to Friday, 10 June 2022 at 09:57 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


Overall Graph Metrics
Vertices : 3
Unique Edges : 2
Edges With Duplicates : 3
Total Edges : 5
Number of Edge Types : 1
Tweet : 5
Self-Loops : 5
Reciprocated Vertex Pair Ratio : Not Applicable
Reciprocated Edge Ratio : Not Applicable
Connected Components : 3
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 1
Maximum Edges in a Connected Component : 3
Maximum Geodesic Distance (Diameter) : 0
Average Geodesic Distance : 0
Graph Density : 0
Modularity : 0.21
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 3 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, 14 June 2022 at 02:45 UTC.

The requested start date was Tuesday, 14 June 2022 at 00:01 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 5-day, 16-hour, 2-minute period from Saturday, 04 June 2022 at 17:55 UTC to Friday, 10 June 2022 at 09:57 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 Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top Domains
Top Domains in Tweet in Entire Graph:
[1] twitter.com

Top Domains in Tweet in G1:
[1] twitter.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[5] greenchemicals
[1] greenquarterly
[1] gcdergi
[1] chemistryforthefuture
[1] 5hazirandünyaçevregünü
[1] gcsözlük
[1] koagülant
[1] wastetreat
[1] worldenvironmentday
[1] saveearth



Top Hashtags in Tweet in G1:
[5] greenchemicals
[1] worldenvironmentday
[1] saveearth
[1] chemicals
[1] specialitychemicals
[1] amines
[1] biocides
[1] watertreatment
[1] textile
[1] aquaculture

Top Words
Top Words in Tweet in Entire Graph:
[5] #greenchemicals
[4] green
[2] oceans
[2] ve

Top Words in Tweet in G1:
[5] #greenchemicals
[4] green
[2] ve
[2] oceans

Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters