#GreenChemicals, Twitter, 5/24/2022 2:47:59 AM, 276952


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#GreenChemicals_2022-05-23_19-45-00.xlsx
#GreenChemicals_2022-05-23_19-45-00.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
May 24, 2022
Short Description:
#GreenChemicals via NodeXL https://bit.ly/3lDsW1a
@cw4t7abs
@uaeembassyisb
@lodhimaleeha
@shireenmazari1
@chemicalsgreen
@climatechangepk
@sherryrehman
@issislamabad
@radiopakistan
@dawn_com

Top hashtags:
#greenchemicals
#chemistryforthefuture
#oiltreat
#greenswan

Description:
Description
The graph represents a network of 14 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, 24 May 2022 at 02:45 UTC.

The requested start date was Tuesday, 24 May 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 7-day, 3-hour, 29-minute period from Friday, 13 May 2022 at 14:54 UTC to Friday, 20 May 2022 at 18:23 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 : 14
Unique Edges : 12
Edges With Duplicates : 3
Total Edges : 15
Number of Edge Types : 3
Tweet : 4
Replies to : 1
Mentions : 10
Self-Loops : 4
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 3
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 12
Maximum Edges in a Connected Component : 11
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.657534
Graph Density : 0.0604395604395604
Modularity : 0.257778
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 14 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, 24 May 2022 at 02:45 UTC.

The requested start date was Tuesday, 24 May 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 7-day, 3-hour, 29-minute period from Friday, 13 May 2022 at 14:54 UTC to Friday, 20 May 2022 at 18:23 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] straitsresearch.com

Top Domains in Tweet in G2:
[1] straitsresearch.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[5] greenchemicals
[3] chemistryforthefuture
[1] oiltreat
[1] greenswan
[1] materials



Top Hashtags in Tweet in G1:
[1] greenswan
[1] greenchemicals

Top Hashtags in Tweet in G2:
[4] greenchemicals
[3] chemistryforthefuture
[1] materials
[1] oiltreat

Top Words
Top Word Pairs
Top Replied-To
Top Replied-To in Entire Graph:
@climatechangepk

Top Replied-To in G1:
@climatechangepk

Top Mentioned
Top Tweeters