berkmancenter, Twitter, 9/11/2022 11:33:20 AM, 281714


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berkmancenter_2022-09-10_23-47-05.xlsx
berkmancenter_2022-09-10_23-47-05.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
September 11, 2022
Short Description:
berkmancenter via NodeXL https://bit.ly/3L8M3My
@berkmancenter
@rachelmercer
@jenbonhomme
@valeskaux
@tee_ganbold
@clairestrickett
@julianrad
@mizuko
@zephoria
@certizensafrica

Top hashtags:
#intentioneconomy
#vrm

Description:
Description
The graph represents a network of 12 Twitter users whose tweets in the requested range contained "berkmancenter", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 11 September 2022 at 06:47 UTC.

The requested start date was Sunday, 11 September 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.

The tweets in the network were tweeted over the 24-day, 3-hour, 31-minute period from Tuesday, 02 August 2022 at 12:57 UTC to Friday, 26 August 2022 at 16:28 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
Vertices : 12
Unique Edges : 18
Edges With Duplicates : 23
Total Edges : 41
Number of Edge Types : 4
Mentions : 30
Replies to : 7
MentionsInRetweet : 3
Retweet : 1
Self-Loops : 0
Reciprocated Vertex Pair Ratio : 0.08
Reciprocated Edge Ratio : 0.148148148148148
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 12
Maximum Edges in a Connected Component : 41
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 1.763889
Graph Density : 0.204545454545455
Modularity : 0.302201
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 12 Twitter users whose tweets in the requested range contained "berkmancenter", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 11 September 2022 at 06:47 UTC.

The requested start date was Sunday, 11 September 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.

The tweets in the network were tweeted over the 24-day, 3-hour, 31-minute period from Tuesday, 02 August 2022 at 12:57 UTC to Friday, 26 August 2022 at 16:28 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".

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : berkmancenter
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top Domains
Top Domains in Tweet in Entire Graph:
[2] google.com
[1] vox.com
[1] ted.com

Top Domains in Tweet in G1:
[1] google.com
[1] ted.com
[1] vox.com

Top Domains in Tweet in G2:
[1] google.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[2] intentioneconomy
[2] vrm



Top Hashtags in Tweet in G2:
[2] intentioneconomy
[2] vrm

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