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#GreenChemicals_2021-11-29_19-28-00.xlsx (experimental version)
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From:
NodeXLExcelAutomator
Uploaded on:
November 30, 2021
Short Description:
#GreenChemicals via NodeXL https://bit.ly/31aRyar
@airliquidegroup
@chemicalsgreen
@gcpmh2021
@bioketech
@iarcluster

Top hashtags:
#greenchemicals
#greenquarterly
#geottreat
#geoinfo
#germany
#cleanenergy
#gcpmh2021
#bioeconomy
#biomass
#biobased

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, 30 November 2021 at 03:28 UTC.

The requested start date was Tuesday, 30 November 2021 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 6-day, 23-hour, 53-minute period from Friday, 19 November 2021 at 14:55 UTC to Friday, 26 November 2021 at 14:49 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 : 5
Unique Edges : 2
Edges With Duplicates : 4
Total Edges : 6
Number of Edge Types : 2
Tweet : 4
Mentions : 2
Self-Loops : 4
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 3
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 2
Maximum Edges in a Connected Component : 4
Maximum Geodesic Distance (Diameter) : 1
Average Geodesic Distance : 0.444444
Graph Density : 0.1
Modularity : 0.354167
NodeXL Version : 1.0.1.447
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, 30 November 2021 at 03:28 UTC.

The requested start date was Tuesday, 30 November 2021 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 6-day, 23-hour, 53-minute period from Friday, 19 November 2021 at 14:55 UTC to Friday, 26 November 2021 at 14:49 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 URLs in Tweet in Entire Graph:
[6] https://bioket-2022.b2match.io/

Top URLs in Tweet in G1:
[1] https://bioket-2022.b2match.io/

Top URLs in Tweet in G2:
[1] https://bioket-2022.b2match.io/

Top URLs in Tweet in G3:
[4] https://bioket-2022.b2match.io/

Top Domains
Top Domains in Tweet in Entire Graph:
[1] b2match.io

Top Domains in Tweet in G2:
[1] b2match.io

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[6] greenchemicals
[2] greenquarterly
[2] geottreat
[1] geoinfo
[1] germany
[1] cleanenergy
[1] gcpmh2021
[1] bioeconomy
[1] biomass
[1] biobased



Top Hashtags in Tweet in G1:
[1] germany
[1] greenchemicals
[1] cleanenergy
[1] gcpmh2021

Top Hashtags in Tweet in G2:
[1] bioeconomy
[1] biomass
[1] biobased
[1] biotech
[1] greenchemicals

Top Hashtags in Tweet in G3:
[4] greenchemicals
[2] greenquarterly
[2] geottreat
[1] geoinfo

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