energy transition in EU, Twitter, 1/18/2024 1:22:25 PM, 294333


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energy transition in EU Twitter NodeXL SNA Map and Report for Thursday, 18 January 2024 at 11:47 UTC
energy transition in EU Twitter NodeXL SNA Map and Report for Thursday, 18 January 2024 at 11:47 UTC
From:
SỆ̃Ỗ̃̀
Uploaded on:
January 18, 2024
Short Description:
energy transition in EU via NodeXL https://bit.ly/3Sq0Jfv
@eu_commission
@energy4europe
@eu_partnerships
@eu_mare
@vonderleyen
@eib
@jmglachant
@drhwilliams2022
@euenergyweek
@eumayors

Top hashtags:


Description:
Description
The graph represents a network of 2,510 Twitter users whose recent tweets contained "energy transition in EU", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 1/1/2023 12:00:00 AM and 1/18/2024 6:44:39 PM. The network was obtained from Twitter on Thursday, 18 January 2024 at 12:17 UTC.

The tweets in the network were tweeted over the 498-day, 10-hour, 24-minute period from Wednesday, 07 September 2022 at 08:53 UTC to Thursday, 18 January 2024 at 19:17 UTC.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.

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.


Overall Graph Metrics
Vertices : 2510
Unique Edges : 2438
Edges With Duplicates : 700
Total Edges : 3138
Self-Loops : 1046
Reciprocated Vertex Pair Ratio : 0.0170484816196058
Reciprocated Edge Ratio : 0.0335254059717129
Connected Components : 879
Single-Vertex Connected Components : 574
Maximum Vertices in a Connected Component : 1063
Maximum Edges in a Connected Component : 1776
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.843833
Graph Density : 0.000303131832971025
Modularity : 0.660086
NodeXL Version : 1.0.1.528
Data Import : The graph represents a network of 2,510 Twitter users whose recent tweets contained "energy transition in EU", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 1/1/2023 12:00:00 AM and 1/18/2024 6:44:39 PM. The network was obtained from Twitter on Thursday, 18 January 2024 at 12:17 UTC.

The tweets in the network were tweeted over the 498-day, 10-hour, 24-minute period from Wednesday, 07 September 2022 at 08:53 UTC to Thursday, 18 January 2024 at 19:17 UTC.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch3
Graph Term : energy transition in EU
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Vertex Radius : Betweenness Centrality

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters

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