#GreenChemicals, Twitter, 10/26/2021 9:34:15 AM, 264785


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#GreenChemicals_2021-10-25_19-28-00.xlsx
#GreenChemicals_2021-10-25_19-28-00.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
October 26, 2021
Short Description:
#GreenChemicals via NodeXL https://bit.ly/3ntRqu9
@chemicalsgreen
@ecochemindia
@kemicalinfo

Top hashtags:
#greenchemicals
#geotreat
#europe
#hydrogen
#industrialgases
#wettreat
#savethewater
#suyunukoru
#welltreat
#gcinfo

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, 26 October 2021 at 02:28 UTC.

The requested start date was Tuesday, 26 October 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 7-day, 20-hour, 58-minute period from Thursday, 14 October 2021 at 17:57 UTC to Friday, 22 October 2021 at 14:56 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 : 1
Edges With Duplicates : 7
Total Edges : 8
Number of Edge Types : 1
Tweet : 8
Self-Loops : 8
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 : 5
Maximum Geodesic Distance (Diameter) : 0
Average Geodesic Distance : 0
Graph Density : 0
Modularity : 0.152344
NodeXL Version : 1.0.1.447
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, 26 October 2021 at 02:28 UTC.

The requested start date was Tuesday, 26 October 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 7-day, 20-hour, 58-minute period from Thursday, 14 October 2021 at 17:57 UTC to Friday, 22 October 2021 at 14:56 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:
[2] kemicalinfo.com
[1] org.tr

Top Domains in Tweet in G1:
[2] kemicalinfo.com
[1] org.tr

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[8] greenchemicals
[2] geotreat
[2] europe
[2] hydrogen
[2] industrialgases
[1] wettreat
[1] savethewater
[1] suyunukoru
[1] welltreat
[1] gcinfo



Top Hashtags in Tweet in G1:
[8] greenchemicals
[2] europe
[2] hydrogen
[2] industrialgases
[2] geotreat
[1] ecochem
[1] wettreat
[1] savethewater
[1] suyunukoru
[1] gcsözlük

Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters