NodeXL Graph Gallery: Interactive Graph


Donate to the Social Media Research Foundation's NodeXL development fund

omahagives_2022-12-01_14-30-57.xlsx (experimental version)
NOTE: This version of the graph is not available with the browser you are using. A more recent version of the browser is required.
Zoom in Zoom out Reset the graph
Go to the graph's main page

From:
NodeXLExcelAutomator
Uploaded on:
December 01, 2022
Short Description:
omahagives via NodeXL https://bit.ly/3gTbHds
@

Top hashtags:


Description:
Description
The graph represents a network of 4 Twitter users whose tweets in the requested range contained "omahagives", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 01 December 2022 at 22:31 UTC.

The requested start date was Thursday, 01 December 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.

The tweets in the network were tweeted over the 17-hour, 45-minute period from Monday, 03 October 2022 at 21:38 UTC to Tuesday, 04 October 2022 at 15:24 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

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


Overall Graph Metrics

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

We use necessary cookies to make our site work. We’d like to set additional cookies to understand site usage, make site improvements and to remember your settings. We also use cookies set by other sites to help deliver content from their services.