#GreenChemicals, Twitter, 7/27/2021 2:10:58 AM, 258849


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#GreenChemicals_2021-07-26_19-07-56.xlsx
#GreenChemicals_2021-07-26_19-07-56.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
July 27, 2021
Short Description:
#GreenChemicals via NodeXL https://bit.ly/3eWDsO8
@ecochemindia
@invest19_com
@chemicalsgreen

Top hashtags:
#greenchemicals
#ipo
#greenquarterly
#savetheearth
#ecofriendlyproducts
#ecochem
#tatvachintanpharma
#portfolio
#greymarketpremium
#invest19app

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, 27 July 2021 at 02:07 UTC.

The requested start date was Tuesday, 27 July 2021 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, 45-minute period from Tuesday, 13 July 2021 at 15:05 UTC to Monday, 19 July 2021 at 07:50 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 : 1.0.1.445
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, 27 July 2021 at 02:07 UTC.

The requested start date was Tuesday, 27 July 2021 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, 45-minute period from Tuesday, 13 July 2021 at 15:05 UTC to Monday, 19 July 2021 at 07:50 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 URLs in Tweet in Entire Graph:
[1] https://cutt.ly/agbntGw

Top URLs in Tweet in G1:
[1] https://cutt.ly/agbntGw

Top Domains
Top Domains in Tweet in Entire Graph:
[1] cutt.ly

Top Domains in Tweet in G1:
[1] cutt.ly

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[5] greenchemicals
[2] ipo
[2] greenquarterly
[1] savetheearth
[1] ecofriendlyproducts
[1] ecochem
[1] tatvachintanpharma
[1] portfolio
[1] greymarketpremium
[1] invest19app



Top Hashtags in Tweet in G1:
[5] greenchemicals
[2] greenquarterly
[2] ipo
[1] wastetreat
[1] tatvachintanpharma
[1] portfolio
[1] greymarketpremium
[1] invest19app
[1] invest19
[1] stockmarket

Top Words
Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[2] #greenchemicals,#greenquarterly

Top Word Pairs in Tweet in G1:
[2] #greenchemicals,#greenquarterly

Top Replied-To
Top Mentioned
Top Tweeters

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