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#GreenChemicals_2022-03-07_19-51-44.xlsx (experimental version)
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From:
NodeXLExcelAutomator
Uploaded on:
March 08, 2022
Short Description:
#GreenChemicals via NodeXL https://bit.ly/3712ZV0
@scmsmartchem
@johnbar59098768
@ikorv1n
@nftjungle_
@khsuleimanaziz1
@chemicalsgreen
@bogswallop

Top hashtags:
#greenchemicals
#chemistryforthefuture
#geothermal
#geothermalnews
#geothermalenergy
#renewablesenergy

Description:
Description
The graph represents a network of 7 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, 08 March 2022 at 03:51 UTC.

The requested start date was Tuesday, 08 March 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, 0-hour, 2-minute period from Thursday, 24 February 2022 at 18:03 UTC to Thursday, 03 March 2022 at 18:05 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 : 7
Unique Edges : 5
Edges With Duplicates : 6
Total Edges : 11
Number of Edge Types : 5
Replies to : 1
Mentions : 3
Tweet : 5
Retweet : 1
MentionsInRetweet : 1
Self-Loops : 5
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 2
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 5
Maximum Edges in a Connected Component : 6
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.172414
Graph Density : 0.119047619047619
Modularity : 0.359504
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7 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, 08 March 2022 at 03:51 UTC.

The requested start date was Tuesday, 08 March 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, 0-hour, 2-minute period from Thursday, 24 February 2022 at 18:03 UTC to Thursday, 03 March 2022 at 18:05 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] twitter.com

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

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[6] greenchemicals
[4] chemistryforthefuture
[1] geothermal
[1] geothermalnews
[1] geothermalenergy
[1] renewablesenergy
[1] mettreat
[1] metinfo
[1] wasteinfo
[1] fosfatlama



Top Hashtags in Tweet in G1:
[2] greenchemicals

Top Hashtags in Tweet in G2:
[4] greenchemicals
[4] chemistryforthefuture
[1] geothermal
[1] geothermalnews
[1] geothermalenergy
[1] renewablesenergy
[1] fosfatlama
[1] wasteinfo
[1] mettreat
[1] metinfo

Top Words
Top Word Pairs
Top Replied-To
Top Replied-To in Entire Graph:
@ikorv1n

Top Replied-To in G1:
@ikorv1n

Top Mentioned
Top Tweeters