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co2 emisisons in Asia Twitter NodeXL SNA Map and Report for Thursday, 14 September 2023 at 10:13 UTC (experimental version)
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From:
DucCot
Uploaded on:
September 14, 2023
Short Description:
co2 emisisons in Asia via NodeXL https://bit.ly/3sVk79R
@royalacresrod
@veritatem2021
@rudrasekhri
@tonyclimate
@vp
@drmcopeman
@kenneth72712993
@prof_dr_sg
@latimeralder
@timm_e_h

Top hashtags:
#asia
#energy
#co2
#climatescam
#urbanfreight
#climatecrisis
#china

Description:
Description
The graph represents a network of 589 Twitter users whose recent tweets contained "co2 emisisons in Asia", 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 9/14/2022 5:13:19 PM and 9/14/2023 5:13:19 PM. The network was obtained from Twitter on Thursday, 14 September 2023 at 10:13 UTC.

The tweets in the network were tweeted over the 364-day, 11-hour, 51-minute period from Thursday, 15 September 2022 at 05:22 UTC to Thursday, 14 September 2023 at 17:13 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 : 589
Unique Edges : 502
Edges With Duplicates : 355
Total Edges : 857
Number of Edge Types : 8
Retweet : 13
Replies to : 136
MentionsInReplyTo : 584
Tweet : 62
Quote : 23
Mentions : 26
MentionsInRetweet : 2
MentionsInQuote : 11
Self-Loops : 103
Reciprocated Vertex Pair Ratio : 0.00193423597678917
Reciprocated Edge Ratio : 0.00386100386100386
Connected Components : 163
Single-Vertex Connected Components : 71
Maximum Vertices in a Connected Component : 228
Maximum Edges in a Connected Component : 559
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 2.749363
Graph Density : 0.00149567467054734
Modularity : Not Applicable
NodeXL Version : 1.0.1.521
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=292482
Data Import : The graph represents a network of 589 Twitter users whose recent tweets contained "co2 emisisons in Asia", 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 9/14/2022 5:13:19 PM and 9/14/2023 5:13:19 PM. The network was obtained from Twitter on Thursday, 14 September 2023 at 10:13 UTC.

The tweets in the network were tweeted over the 364-day, 11-hour, 51-minute period from Thursday, 15 September 2022 at 05:22 UTC to Thursday, 14 September 2023 at 17:13 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 : co2 emisisons in Asia
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[2] https://ourworldindata.org/co2-emissions
[2] https://www.adb.org/publications/asian-economic-integration-report-2023
[1] https://www.news.com.au/technology/environment/sustainability/soft-plastic-recycling-scheme-available-at-coles-woolies-collapses/news-story/2b6292dcfbf3b1fb03a1c32b80598a43
[1] https://www.indianchemicalnews.com/news/puri-inaugurates-asias-largest-compressed-biogas-plant-in-sangrur-15129
[1] https://time.com/6259708/global-co2-emissions-record-high/
[1] https://www.iea.org/reports/co2-emissions-in-2022
[1] https://techday.asia/story/innovative-design-cuts-co2-emissions-in-data-centers
[1] https://ourworldindata.org/grapher/annual-co2-emissions-per-country?country=USA~OWID_EUR~OWID_ASI
[1] https://mck.co/3QPhyfM?id=U512I4f4aA
[1] https://www.bloomberg.com/news/articles/2023-02-12/asset-managers-touting-esg-enjoy-a-turbo-charged-coal-boom?utm_source=website&utm_medium=share&utm_campaign=twitter

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[8] asia
[6] energy
[5] co2
[4] climatescam
[4] urbanfreight
[3] climatecrisis
[3] china
[2] globalwarming
[2] renewables
[2] coal



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

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