#GreenChemicals, Twitter, 8/16/2022 3:41:05 PM, 280173


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#GreenChemicals_2022-08-15_19-45-00.xlsx
#GreenChemicals_2022-08-15_19-45-00.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
August 16, 2022
Short Description:
#GreenChemicals via NodeXL https://bit.ly/3JVv7bL
@chem_light
@primaryresearc2
@maryamtoufani
@chemistrynuig
@ryaninstitute

Top hashtags:
#womenandgirlsinscience
#greenchemicals
#chemicals

Description:
Description
The graph represents a network of 5 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, 16 August 2022 at 02:45 UTC.

The requested start date was Tuesday, 16 August 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 0-minute period from Tuesday, 09 August 2022 at 08:00 UTC to Tuesday, 09 August 2022 at 08:00 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

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 : 5
Unique Edges : 3
Edges With Duplicates : 2
Total Edges : 5
Number of Edge Types : 4
Retweet : 1
MentionsInRetweet : 1
Tweet : 1
Mentions : 2
Self-Loops : 1
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 4
Maximum Edges in a Connected Component : 4
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.058824
Graph Density : 0.15
Modularity : 0.33
NodeXL Version : 1.0.1.503
Data Import : The graph represents a network of 5 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, 16 August 2022 at 02:45 UTC.

The requested start date was Tuesday, 16 August 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 0-minute period from Tuesday, 09 August 2022 at 08:00 UTC to Tuesday, 09 August 2022 at 08:00 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

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] univdatos.com

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

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[2] womenandgirlsinscience
[2] greenchemicals
[1] chemicals



Top Hashtags in Tweet in G1:
[2] womenandgirlsinscience
[1] greenchemicals

Top Hashtags in Tweet in G2:
[1] greenchemicals
[1] chemicals

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

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