corruption, Twitter, 9/12/2023 12:32:15 PM, 292414


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corruption Twitter NodeXL SNA Map and Report for Tuesday, 12 September 2023 at 11:07 UTC
corruption Twitter NodeXL SNA Map and Report for Tuesday, 12 September 2023 at 11:07 UTC
From:
Khanh
Uploaded on:
September 12, 2023
Short Description:
corruption via NodeXL https://bit.ly/3PyrPj4
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Top hashtags:


Description:
Description
The graph represents a network of 2,900 Twitter users whose recent tweets contained "corruption", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 2,000 tweets, tweeted between 9/5/2023 6:06:55 PM and 9/12/2023 6:06:55 PM. The network was obtained from Twitter on Tuesday, 12 September 2023 at 12:05 UTC.

The tweets in the network were tweeted over the 3982-day, 3-hour, 59-minute period from Wednesday, 17 October 2012 at 15:06 UTC to Tuesday, 12 September 2023 at 19:05 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 : 2900
Unique Edges : 2833
Edges With Duplicates : 325
Total Edges : 3158
Self-Loops : 425
Reciprocated Vertex Pair Ratio : 0.00503290747193186
Reciprocated Edge Ratio : 0.0100154083204931
Connected Components : 544
Single-Vertex Connected Components : 63
Maximum Vertices in a Connected Component : 268
Maximum Edges in a Connected Component : 285
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 2.577443
Graph Density : 0.000308786620832392
Modularity : Not Applicable
NodeXL Version : 1.0.1.521
Data Import : The graph represents a network of 2,900 Twitter users whose recent tweets contained "corruption", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 2,000 tweets, tweeted between 9/5/2023 6:06:55 PM and 9/12/2023 6:06:55 PM. The network was obtained from Twitter on Tuesday, 12 September 2023 at 12:05 UTC.

The tweets in the network were tweeted over the 3982-day, 3-hour, 59-minute period from Wednesday, 17 October 2012 at 15:06 UTC to Tuesday, 12 September 2023 at 19:05 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 : corruption
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 Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters

Tags:
 

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