The graph represents a network of 589 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 5,000 tweets, tweeted between 9/14/2022 8:35:46 PM and 9/14/2023 8:35:46 PM. The network was obtained from Twitter on Thursday, 14 September 2023 at 13:36 UTC.
The tweets in the network were tweeted over the 364-day, 15-hour, 13-minute period from Thursday, 15 September 2022 at 05:22 UTC to Thursday, 14 September 2023 at 20:36 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.
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=292493
Data Import : The graph represents a network of 589 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 5,000 tweets, tweeted between 9/14/2022 8:35:46 PM and 9/14/2023 8:35:46 PM. The network was obtained from Twitter on Thursday, 14 September 2023 at 13:36 UTC.
The tweets in the network were tweeted over the 364-day, 15-hour, 13-minute period from Thursday, 15 September 2022 at 05:22 UTC to Thursday, 14 September 2023 at 20:36 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.
Vertex Radius : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[237] co2,emissions [30] global,co2 [22] emissions,asia [19] reduce,co2 [17] asia,pacific [13] western,countries [12] coal,fired [11] fired,power [11] growth,asia [11] china,india Top Replied-To in Entire Graph:
Top Mentioned in Entire Graph:
Top Tweeters in Entire Graph: