The graph represents a network of 557 Twitter users whose recent tweets contained "co2 emissions in Asia", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 9/12/2022 8:12:07 PM and 9/12/2023 8:12:07 PM. The network was obtained from Twitter on Tuesday, 12 September 2023 at 13:12 UTC.
The tweets in the network were tweeted over the 364-day, 17-hour, 19-minute period from Tuesday, 13 September 2022 at 02:53 UTC to Tuesday, 12 September 2023 at 20:12 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.
Author Description
Vertices : 557
Unique Edges : 421
Edges With Duplicates : 335
Total Edges : 756
Number of Edge Types : 8
Replies to : 135
MentionsInReplyTo : 492
Tweet : 61
Quote : 23
Mentions : 26
Retweet : 6
MentionsInRetweet : 2
MentionsInQuote : 11
Self-Loops : 101
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 165
Single-Vertex Connected Components : 71
Maximum Vertices in a Connected Component : 191
Maximum Edges in a Connected Component : 456
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.805974
Graph Density : 0.00140139235111014
Modularity : Not Applicable
NodeXL Version : 1.0.1.521
Data Import : The graph represents a network of 557 Twitter users whose recent tweets contained "co2 emissions in Asia", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 9/12/2022 8:12:07 PM and 9/12/2023 8:12:07 PM. The network was obtained from Twitter on Tuesday, 12 September 2023 at 13:12 UTC.
The tweets in the network were tweeted over the 364-day, 17-hour, 19-minute period from Tuesday, 13 September 2022 at 02:53 UTC to Tuesday, 12 September 2023 at 20:12 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 emissions in Asia
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[229] co2,emissions [30] global,co2 [21] emissions,asia [19] reduce,co2 [13] asia,pacific [13] western,countries [12] coal,fired [11] china,india [11] fired,power [10] africa,asia Top Replied-To in Entire Graph:
Top Mentioned in Entire Graph:
Top Tweeters in Entire Graph: