The graph represents a network of 4 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, 29 November 2022 at 03:45 UTC.

The requested start date was Tuesday, 29 November 2022 at 01:01 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, 1-hour, 11-minute period from Friday, 18 November 2022 at 13:34 UTC to Friday, 25 November 2022 at 14:46 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.

Vertices : 4
Unique Edges : 2
Edges With Duplicates : 5
Total Edges : 7
Number of Edge Types : 2
Tweet : 6
Mentions : 1
Self-Loops : 6
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 3
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 2
Maximum Edges in a Connected Component : 5
Maximum Geodesic Distance (Diameter) : 1
Average Geodesic Distance : 0.333333
Graph Density : 0.0833333333333333
Modularity : 0.244898
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4 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, 29 November 2022 at 03:45 UTC.

The requested start date was Tuesday, 29 November 2022 at 01:01 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, 1-hour, 11-minute period from Friday, 18 November 2022 at 13:34 UTC to Friday, 25 November 2022 at 14:46 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 URLs in Tweet in Entire Graph:
[1] https://reveela.com/publication/5833317/?utm_campaign=Green%20Tech&utm_content=228472489&utm_medium=social&utm_source=twitter&hss_channel=tw-2228595134
[1] https://www.joannematthews.com/
[1] https://www.joannematthews.com/resources
[1] https://www.tiktok.com/@joannematthewsearth/video/7167852714058140929?_t=8XUqYkDBUUD&_r=1

Top URLs in Tweet in G1:
[1] https://reveela.com/publication/5833317/?utm_campaign=Green%20Tech&utm_content=228472489&utm_medium=social&utm_source=twitter&hss_channel=tw-2228595134

Top URLs in Tweet in G2:
[1] https://www.joannematthews.com/
[1] https://www.joannematthews.com/resources
[1] https://www.tiktok.com/@joannematthewsearth/video/7167852714058140929?_t=8XUqYkDBUUD&_r=1

Top Domains in Tweet in Entire Graph:
[2] joannematthews.com
[1] reveela.com
[1] tiktok.com

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

Top Domains in Tweet in G2:
[2] joannematthews.com
[1] tiktok.com

Top Hashtags in Tweet in Entire Graph:
[7] greenchemicals
[5] chemistryforfuture
[2] chemicalproducts
[1] ip
[1] intellectualproperty
[1] sustainability
[1] climatecrisis
[1] chronicdiseases
[1] superbugs
[1] antimicrobialresistance

Tweet

Top Hashtags in Tweet in G1:
[1] greenchemicals
[1] ip
[1] intellectualproperty
[1] sustainability

Top Hashtags in Tweet in G2:
[6] greenchemicals
[5] chemistryforfuture
[2] chemicalproducts
[1] climatecrisis
[1] chronicdiseases
[1] superbugs
[1] antimicrobialresistance
[1] unep
[1] cop27

Top Words in Tweet in Entire Graph:
[7] #greenchemicals
[5] #chemistryforfuture
[4] treat
[3] treatment
[3] product
[3] waste
[2] water
[2] ile
[2] plants
[2] ve

Top Words in Tweet in G2:
[6] #greenchemicals
[5] #chemistryforfuture
[4] treat
[3] treatment
[3] waste
[3] product
[2] ve
[2] #chemicalproducts
[2] atık
[2] know

Top Word Pairs in Tweet in Entire Graph:
[5] #greenchemicals,#chemistryforfuture
[2] #chemistryforfuture,#chemicalproducts
[2] waste,treat
[2] treatment,plants

Top Word Pairs in Tweet in G2:
[5] #greenchemicals,#chemistryforfuture
[2] waste,treat
[2] treatment,plants
[2] #chemistryforfuture,#chemicalproducts

Top Mentioned in Entire Graph:

	@chemicaljournal
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Top Mentioned in G1:

	@chemicaljournal
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Top Tweeters in Entire Graph:

	@mewburnellisllp
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	@chemicaljournal
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	@chemicalsgreen
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	@jo_matthews_
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Top Tweeters in G1:

	@mewburnellisllp
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	@chemicaljournal
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Top Tweeters in G2:

	@chemicalsgreen
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	@jo_matthews_
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