disaster risk reduction in asia, Twitter, 9/18/2023 8:59:06 AM, 292564


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From:
bb
Uploaded on:
September 18, 2023
Short Description:
disaster risk reduction in asia via NodeXL https://bit.ly/3EHEz0p
@

Top hashtags:
#drr
#apmcdrr2022
#apmcdrr
#disaster
#crisistoresilience
#pacific
#brisbane
#asia
#sendaiframework
#resilienceforall

Description:
Description
The graph represents a network of 247 Twitter users whose recent tweets contained "disaster risk reduction in asia", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 10,000 tweets, tweeted between 9/15/2022 3:54:45 PM and 9/18/2023 3:54:45 PM. The network was obtained from Twitter on Monday, 18 September 2023 at 08:55 UTC.

The tweets in the network were tweeted over the 368-day, 5-hour, 54-minute period from Thursday, 15 September 2022 at 10:01 UTC to Monday, 18 September 2023 at 15:55 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 : 247
Unique Edges : 244
Edges With Duplicates : 74
Total Edges : 318
Self-Loops : 132
Reciprocated Vertex Pair Ratio : 0.0175438596491228
Reciprocated Edge Ratio : 0.0344827586206897
Connected Components : 101
Single-Vertex Connected Components : 68
Maximum Vertices in a Connected Component : 71
Maximum Edges in a Connected Component : 124
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.549235
Graph Density : 0.00286363187518515
Modularity : Not Applicable
NodeXL Version : 1.0.1.521
Data Import : The graph represents a network of 247 Twitter users whose recent tweets contained "disaster risk reduction in asia", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 10,000 tweets, tweeted between 9/15/2022 3:54:45 PM and 9/18/2023 3:54:45 PM. The network was obtained from Twitter on Monday, 18 September 2023 at 08:55 UTC.

The tweets in the network were tweeted over the 368-day, 5-hour, 54-minute period from Thursday, 15 September 2022 at 10:01 UTC to Monday, 18 September 2023 at 15:55 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 : disaster risk reduction 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 Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[25] drr
[24] apmcdrr2022
[16] apmcdrr
[11] disaster
[10] crisistoresilience
[8] pacific
[6] brisbane
[6] asia
[4] sendaiframework
[4] resilienceforall



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

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